DEV Community: Roic AI

Best Finance Data APIS

TheBitForge — Sun, 25 Oct 2026 20:40:26 +0000

If you are building anything around company fundamentals, start with ROIC.ai. It is a financial data API with prices, statements, ratios and earnings call transcripts for more than 68,000 tickers on over 70 exchanges, a free plan that needs no credit card, and a hosted MCP server so your AI tools can query the same data. It tops this list, and the first big section below explains why.

The rest of the post compares ROIC.ai with eight other providers, so you can see where it wins and where it does not. I looked at what actually decides a project: what data you get, how far back it goes, how fast you can pull it, what the free tier really allows, and whether you may ship the data inside a product.

A few honest notes first. I compared published documentation and pricing pages, last checked in late October 2026, and I did not run my own latency benchmarks. Prices move, so confirm every number on the vendor page. Near the end there is a small script you can use to measure the providers yourself.

The quick answer
Why ROIC.ai is my top pick
How to judge a finance data API
The comparison at a glance
The other best finance data APIs
Measure them yourself
Mistakes that cost real money
Frequently asked questions
Final thoughts

The quick answer

There is no single best finance data API for every job, and anyone who names one without asking what you are building is selling something. For fundamentals, ratios and transcripts across many markets, though, ROIC.ai is the one I would try first. For other jobs, here is where I would start.

If you need	Start with
Company fundamentals, ratios and transcripts across many countries	ROIC.ai
Statements and screening, US focused	Financial Modeling Prep
Live and streaming US market data	Massive, formerly Polygon.io
A free key to prototype with	Finnhub or Twelve Data
Decades of end of day history worldwide	EODHD
Clean adjusted prices for backtests	Tiingo
Official filings and raw XBRL facts at no cost	SEC EDGAR
A first project with plenty of tutorials	Alpha Vantage

Why ROIC.ai is my top pick

ROIC.ai is a financial data API covering stock prices, financial statements, earnings call transcripts, ratios and company data. Its published scale is more than 68,000 tickers across more than 70 global exchanges, with financial statement history going back over 40 years. Fundamentals come from SEC filings and prices from Nasdaq, refreshed daily, according to a third party review of the service.

Here is what makes it stand out.

Depth where it matters. Beyond income statements, balance sheets and cash flow, it exposes profitability ratios (including return on invested capital, the name on the door), credit and debt ratios, liquidity ratios with an Altman Z-Score, working capital ratios, yield analysis, enterprise value and valuation multiples. Most providers make you calculate those yourself.

A free plan you can really develop on. Worldwide coverage, a 5 requests per minute limit and the MCP server are all included at no cost. ROIC.ai's own comparison with Alpha Vantage points out that Alpha Vantage's free key stops at 25 requests per day, which is a very different experience for a developer testing an idea.

Real throughput on a small plan. The Individual plan is 29 dollars a month for 300 requests per minute, and Professional at 89 dollars a month has no request cap.

Earnings coverage. Earnings calendars with estimates and surprises, plus call transcripts in raw and edited versions, with audio and slide decks where available.

Built for AI tools. The hosted MCP server exposes 36 read only tools and works on every plan, including free. There is also an open source version you can run locally.

More than prices. Forex for more than 4,000 pairs, stock splits, company profiles, logos, and sector and industry reference data, plus bulk downloads on paid plans. Official clients exist for Python, JavaScript, Ruby and Go.

Pricing and limits

	Free	Individual	Professional	Enterprise
Price per month	0	29 dollars	89 dollars	Custom
Requests per minute	5	300	Unlimited	Unlimited
Price and financial history	2 years	5 years	40 plus years	40 plus years
Quarterly financials	None	20 quarters	160 plus quarters	160 plus quarters
Earnings transcripts	2 quarters	2 quarters	All available	All available
Earnings calendar and bulk downloads	No	No	Yes	Yes
MCP server access	Yes	Yes	Yes	Yes
Commercial license	No	No	No	Yes

Annual billing includes two free months. Free and Individual both cap transcripts at two quarters, so the 17 plus year transcript archive needs Professional.

The honest limits

It does not fit every job. Prices are daily only, so there is no intraday or tick data. There is no options or crypto data. And if you plan to redistribute the data inside a product, you need Enterprise, because the lower plans carry no commercial license. If any of those are your main need, look at the providers further down.

A first request

Authentication takes one header. Every v3 path starts with the version, and tickers use an exchange prefix such as NASDAQ:AAPL.

import os
import time
import requests

BASE = "https://api.roic.ai/v3.0.0"
HEADERS = {"Authorization": f"Bearer {os.environ['ROIC_API_KEY']}"}

def get(path, **params):
    r = requests.get(f"{BASE}{path}", headers=HEADERS, params=params, timeout=30)
    if r.status_code == 429:
        time.sleep(int(r.headers.get("Retry-After", 30)))
        return get(path, **params)
    r.raise_for_status()
    return r.json()

latest = get("/stock-prices/latest/NASDAQ:AAPL")
income = get(
    "/fundamental/income-statement/NASDAQ:AAPL",
    period_type="annual",
    **{"fiscal_year.gte": 2025},
)
print(latest)
print(income)

Two details from the docs are worth knowing. Send either the query parameter key or the bearer header, never both, because supplying both returns a 401. And a request counts against your limit before validation runs, so even a malformed call costs you one.

Connecting an AI assistant

The hosted MCP server lives at https://mcp.roic.ai/mcp. In Claude Code, one command adds it:

claude mcp add --transport http roicai https://mcp.roic.ai/mcp

For CI jobs or clients without hosted login support, there is also an open source server you can run locally with an API key. Review its license and recent commits on GitHub before adopting it, as you would with any third party package.

Once connected, you can ask for things like profitability ratios for two companies over three years, and the assistant routes the request to the right tool. Plan limits apply exactly as they do over REST.

For every endpoint, error code and the full MCP tool list, ROIC.ai has its own detailed guide:

TheBitForge for Roic AI

Oct 24

ROIC.ai Complete Guide - Financial Data API, Pricing, Endpoints, and the 36-Tool MCP Server

#ai #api #opensource #programming

13 min read

You can start free at roic.ai/signup with no credit card, and the interactive docs live at roic.ai/api/docs.

How to judge a finance data API

Most comparison posts rank by feature count. That is the wrong lens. A longer endpoint list does not help if the one endpoint you need is locked behind a plan you cannot afford. These are the questions I would ask, in this order.

What kind of data do I need? Prices, fundamentals, filings, news and transcripts are different products. Many providers are strong at one and thin at the rest.

Where are my companies listed? Several providers cover US stocks well and treat everything else as an upgrade.

How much history do I need? Free and entry plans often cap history at two to five years. That is fine for a dashboard and useless for a long backtest.

What will my call budget look like? Do this math before you pick a plan, not after.

calls per day = N_{symbols} \times R_{refreshes} \times E_{endpoints}

Say you track 500 tickers, refresh twice a day, and hit three endpoints for each. That is 3,000 calls a day. On a free tier capped at 25 requests per day, that job would take 120 days to finish once. And some vendors weight calls differently. EODHD, for example, charges 1 call for an end of day request but 10 for fundamentals, so the same job costs far more than the raw count suggests.

Am I allowed to ship this data? Personal use and commercial redistribution are different licenses. This is the one people skip, and it is the one that can end a product.

Can an AI agent use it? More providers now run MCP servers so assistants can query data directly. If you build with agents, that is worth checking.

The comparison at a glance

Provider	Best for	Free tier	Paid entry point	Standout limit
ROIC.ai	Fundamentals, ratios, transcripts	5 requests per minute, 2 years, MCP included	29 dollars a month for 300 per minute	Daily prices only
Alpha Vantage	Learning, scheduled jobs	25 requests per day, 5 per minute	49.99 dollars a month for 75 per minute	Free tier is tiny
Financial Modeling Prep	Statements and screening	250 calls per day, end of day	Starter, US only	Global data sits in the top plan
Massive (Polygon.io)	Live US trading data	5 calls per minute, 2 years end of day	29 dollars a month, 15 minute delay	US focus
Twelve Data	Multi asset time series	800 credits per day	29 dollars a month	Credit weights vary by endpoint
Finnhub	Fast prototypes	60 calls per minute, personal use	Priced per market	Free tier is non commercial
EODHD	Global history	20 calls per day	19.99 dollars a month	Fundamentals cost 10 calls each
Tiingo	Adjusted history	Free Starter plan	30 dollars a month	Fundamentals sold separately
SEC EDGAR	Filings and XBRL	Free, no key	Not applicable	10 requests per second, you normalize the data

The other best finance data APIs

Alpha Vantage

Alpha Vantage is where a lot of developers start, and there is a good reason. It has a huge tutorial base, a broad endpoint list that includes technical indicators, and a key you can get in seconds.

The free tier is the catch. You get 25 requests per day and 5 per minute, and the vendor's own community has noted that the daily number used to be 500, then 100, and is now 25. Paid plans run from 49.99 dollars a month for 75 requests per minute up to 249.99 for 1,200 per minute, and paid plans have no daily cap.

Use it for learning and for small scheduled jobs. Do not build anything that refreshes often on the free key.

import os
import requests

url = "https://www.alphavantage.co/query"
params = {
    "function": "GLOBAL_QUOTE",
    "symbol": "IBM",
    "apikey": os.environ["ALPHAVANTAGE_KEY"],
}
print(requests.get(url, params=params, timeout=30).json())

Financial Modeling Prep

Financial Modeling Prep, usually called FMP, leans toward statements, ratios and screening. The free Basic plan gives 250 calls per day with end of day data and a sample of tickers.

The paid ladder matters more than the free tier. Starter allows 300 calls per minute but covers US companies only. Premium raises that to 750 per minute and adds UK and Canadian coverage plus up to 30 years of history. Global coverage, earnings transcripts and 13F filings sit in Ultimate at 3,000 calls per minute.

One detail most reviews miss: FMP also enforces a trailing 30 day bandwidth cap, 500 MB on free, 20 GB on Starter, 50 GB on Premium and 150 GB on Ultimate. If you pull bulk statements, you can hit that before you hit the call limit.

Starter pricing shows up in the twenties on annual billing and a little higher month to month, so check the live page.

Massive, formerly Polygon.io

Polygon.io became Massive on October 30, 2025. The two API hostnames ran in parallel during the transition, and the plan prices I found match what Polygon charged under its old name.

Massive is the pick when you care about live US market data. It covers stocks, options, indices, forex and crypto, with WebSocket streaming and flat file downloads. Individual stock plans run from a free Basic tier (5 calls per minute, two years of end of day data) to Starter at 29 dollars a month, Developer at 79 and Advanced at 199. Starter data is delayed 15 minutes, so true real time costs more.

The tradeoff is scope. It is excellent at market data and less central for fundamentals, and it is US focused.

Twelve Data

Twelve Data offers one consistent interface across equities, ETFs, forex, crypto and indices, with server side technical indicators and WebSockets. The free plan gives 800 API credits per day, and paid plans start at 29 dollars a month.

The word to watch is credits. Different endpoints consume different amounts, so a naive call count will mislead you. Read their data weight explanation before you size a plan.

Finnhub

Finnhub has one of the most generous free tiers in the category: about 60 calls per minute, real time US quotes, company news, basic fundamentals, forex and crypto, and a WebSocket stream, all without a credit card.

The catch is the license. The free key is meant for personal, non commercial projects. Paid plans are priced per market and not as simple to read as a flat table, so expect to spend some time on the pricing page.

It is a great prototyping key. Confirm the terms before it goes near a product.

import os
import requests

r = requests.get(
    "https://finnhub.io/api/v1/quote",
    params={"symbol": "AAPL", "token": os.environ["FINNHUB_KEY"]},
    timeout=30,
)
print(r.json())

EODHD

EODHD, short for EOD Historical Data, is the long history specialist. The free plan gives only 20 calls per day, but the paid End of Day plan is 19.99 dollars a month and the End of Day plus Intraday plan is 29.99. Paid plans allow 100,000 calls per day and 1,000 per minute.

Remember the call weights. One call for end of day or live data, five for intraday and news, ten for fundamentals, and 100 or more for bulk. Commercial use goes through a separate startup and enterprise plan, so do not assume a 29.99 dollar plan covers a product.

Tiingo

Tiingo is the one I would reach for when the quality of adjusted price history and corporate actions matters most, such as backtesting. Its free Starter plan is limited to about 50 requests per hour and 500 unique symbols per month. The Power plan for individuals is 30 dollars a month, or 300 on annual billing, and a Business plan for internal company use is priced higher.

Fundamentals and news have historically sat behind paid access or add ons, so check what your plan includes before you plan around them.

SEC EDGAR

EDGAR is not a vendor. It is the primary source, and it is free. The SEC exposes company submissions and extracted XBRL facts through JSON endpoints on data.sec.gov, with no API key.

The rules are strict. The fair access guidance caps you at 10 requests per second across all your machines, and you must send a User-Agent that identifies you with contact details. Skip that header and you get a 403 quickly, and repeat offenders can be blocked.

You also do the normalizing yourself. Facts can appear under several taxonomies, and companies tag things differently. That is the price of free, as filed data, and it is the work a service like ROIC.ai does for you.

import time
import requests

HEADERS = {"User-Agent": "Your Name your.email@example.com"}

facts = requests.get(
    "https://data.sec.gov/api/xbrl/companyfacts/CIK0000320193.json",
    headers=HEADERS,
    timeout=30,
).json()

revenues = facts["facts"]["us-gaap"].get("Revenues", {})
print(list(revenues.get("units", {}).keys()))
time.sleep(0.2)  # stay far below 10 requests per second

A note on yfinance. It is a popular open source Python wrapper around Yahoo Finance data. It is great in a notebook, but it is not an official API with an agreement behind it, so I would not build a paid product on it.

Measure them yourself

Documentation tells you what a vendor promises. A ten minute test tells you what you will actually get from your own server. Here is a small harness that times a list of endpoints and prints the median and the slowest runs.

import os
import statistics
import time
import requests

def bench(name, url, headers=None, params=None, runs=10):
    times = []
    for _ in range(runs):
        start = time.perf_counter()
        r = requests.get(url, headers=headers, params=params, timeout=30)
        r.raise_for_status()
        times.append((time.perf_counter() - start) * 1000)
        time.sleep(1.5)  # respect free tier limits
    times.sort()
    print(f"{name}: median {statistics.median(times):.0f} ms, slowest {times[-1]:.0f} ms")

bench(
    "roic.ai",
    "https://api.roic.ai/v3.0.0/stock-prices/latest/NASDAQ:AAPL",
    headers={"Authorization": f"Bearer {os.environ['ROIC_API_KEY']}"},
)
# Add one line per provider, with your own keys

Run it from the region where your app will live. A fast result from your laptop in one country can look very different from a cloud server in another.

Mistakes that cost real money

Using unadjusted prices for returns. After a split or dividend, raw closes lie. Check whether an endpoint returns adjusted or unadjusted data before you compute anything.

Treating the free tier as a license. A key that works is not permission to redistribute. Read the terms for commercial use every time.

Counting calls without weights. The 3,000 calls you planned can turn into 30,000 on a provider that weights fundamentals.

Putting keys in query strings. URLs get logged by servers, proxies and browsers. Prefer an authorization header where the provider supports one.

Skipping the cache. Fundamentals change a few times a year. Fetch them once, store them, and stop paying for the same answer twice.

Ignoring symbol formats. Some providers want a bare ticker, others want an exchange prefix. A mismatch looks like missing data when it is really a wrong identifier.

Frequently asked questions

What is the best finance data API?
For company fundamentals, ratios and earnings transcripts across many markets, ROIC.ai is the one I would start with. For live US trading data it is Massive, and for a free prototype key it is Finnhub. The right answer depends on the data you need, so use the quick answer table near the top.

What is the best free finance data API?
For raw call volume, Finnhub's 60 calls per minute is the most generous, though it is for personal use. For fundamentals on a free key, ROIC.ai offers worldwide coverage, 5 requests per minute and MCP access, with two years of history. Alpha Vantage's 25 requests per day is the tightest of the group.

Which finance data API works best with AI agents?
Look for a native MCP server. ROIC.ai runs a hosted one with 36 read only tools on every plan, including free, and an open source version for local use. Several other providers have community built servers. Plan limits still apply to every tool call.

Which finance data API has real time stock data?
Massive, Finnhub and Twelve Data all offer real time or streaming options, with limits that depend on the plan. Several entry plans deliver data delayed by 15 minutes, so check the delay before you build anything that trades. ROIC.ai serves daily prices only.

Is there an official free source for company financials?
Yes. SEC EDGAR provides filings and XBRL facts for free with no key, within a limit of 10 requests per second and a required User-Agent header. You normalize the data yourself.

Can I use these APIs in a commercial product?
Often only on higher tiers. ROIC.ai reserves commercial redistribution for Enterprise, Finnhub's free key is non commercial, and EODHD routes commercial use to a separate plan. Always read the license, not just the pricing table.

Final thoughts

Choose by the job, not by the brand. For live US trading data, Massive is the natural fit. For a free prototype key, Finnhub and Twelve Data are hard to beat. For decades of global end of day history, look at EODHD. For clean adjusted prices, Tiingo. For official filings at no cost, go to EDGAR directly.

And for fundamentals, ratios and transcripts across many markets, with an MCP server for your AI tools and a free plan to test on, ROIC.ai is the one I would open first. Create a free key at roic.ai/signup, run the first request from this post, and see whether the data matches what you need.

Whatever you pick, run the call budget math first, read the license second, and test with your own script third. That order saves you from the expensive kind of surprise.

What are you building, and which API ended up in your stack? Tell me in the comments.

ROIC.ai Complete Guide - Financial Data API, Pricing, Endpoints, and the 36-Tool MCP Server

TheBitForge — Sat, 24 Oct 2026 06:13:05 +0000

ROIC.ai is a financial data API covering stock prices, financial statements, earnings call transcripts, financial ratios, and company data across 68,000+ tickers and 70+ global exchanges. This guide documents the full product: authentication, response formats, every endpoint category, exact pricing across all four tiers, and the complete 36-tool MCP server with setup steps for every supported client.

Overview
Data Coverage
Account Setup and API Keys
Authentication
Base URL and First Request
Response Format
Pagination
Error Codes
Rate Limits
Full Endpoint Reference
Pricing — All Four Plans
MCP Server
MCP Tool Reference (36 Tools)
MCP Setup by Client
Self-Hosting the MCP Server
SDKs
Known Limitations
Reference Links

Overview

ROIC.ai ( @vladcx ) operates as a REST API (api.roic.ai) with a parallel MCP server (mcp.roic.ai) that exposes the same data to AI assistants as callable tools. Both interfaces draw from the same underlying dataset and the same per-plan limits.

Published scale figures:

Metric	Value
Financial statement history	40+ years
Tickers covered	68,000+
Quarters of data per company	120+
Earnings call transcript history	17+ years
Global exchanges	70+
Advertised uptime	99.9%
Advertised response time	Sub-200ms

Commercial redistribution rights (shipping the data inside a product you sell) are available only on the Enterprise plan.

Data Coverage

The API is organized into four data groups.

Fundamentals

Income statement (annual + quarterly revenue, net income, EPS, EBITDA)
Balance sheet (assets, liabilities, equity, debt, cash positions)
Cash flow statement (operating, investing, financing, CapEx, free cash flow)
Pre-computed financial ratios and valuation metrics

Earnings

Earnings calendar (scheduled + reported, filterable by ticker/date)
Consensus estimates vs. reported actuals
EPS surprise history (beat/miss with calculated surprise size)
Full call transcripts — raw and edited versions, organized by fiscal quarter
Call audio and slide decks (where available)
SEC filings tied to earnings events

Market Data

Historical daily OHLCV and VWAP, adjusted or unadjusted for splits/dividends
Latest daily price (single ticker or market-wide snapshot)
Stock splits (forward and reverse, with ratios and execution dates)
Forex rates for 4,000+ currency pairs, historical and latest

Company Data

Company profiles (identity, classification, market cap, CEO, exchange listings)
Company logos (WebP or PNG, sized on request)
Sector and industry classification with ticker counts per category
SEC-sourced fiscal-year employee headcount history

Account Setup and API Keys

Go to roic.ai/signup
Create an account — no credit card required for the Free plan
Open your dashboard and copy your API key
The same key authenticates both API v2 and v3 requests

Authentication

Every request uses exactly one of two authentication methods. Supplying both on the same request returns 401 Unauthorized, even when both values are the correct key.

Method 1: Query parameter

curl "https://api.roic.ai/v3.0.0/company/profile/NASDAQ:AAPL?apikey=YOUR_API_KEY"

Suitable for quick testing in a browser or terminal. Not recommended for production, since query parameters are commonly logged by servers, proxies, and browser history.

Method 2: Bearer token (recommended)

curl "https://api.roic.ai/v3.0.0/company/profile/NASDAQ:AAPL" \
  -H "Authorization: Bearer $ROIC_API_KEY"

This is the documented method for production applications, server-side code, and scripts.

Key storage rules per the docs: store the key in an environment variable or secrets manager; never commit it to source control; never expose it in client-side browser code.

Base URL and First Request

https://api.roic.ai

Every v3 endpoint path begins with /v3.0.0. Example — company profile for Apple:

curl "https://api.roic.ai/v3.0.0/company/profile/NASDAQ:AAPL?apikey=YOUR_API_KEY"

A successful call returns 200 OK, a Request-Id response header (used for support/debugging), and the resource object directly.

Response Format

Single-resource responses

Returned as an unwrapped object — not nested under a data key:

{
  "id": "tkr_cO46h8pgSu9Qqy",
  "object": "v3.reference.ticker",
  "symbol": "NASDAQ:AAPL",
  "ticker": "AAPL"
}

Nullable fields are present with a null value when no data is available, rather than being omitted.

Exception: stock prices, forex prices, and forex pairs do not include id or object fields. A per-row ID would duplicate data already present in the request, so these resources are addressed by symbol and date instead:

{
  "symbol": "NASDAQ:AAPL",
  "date": "2026-07-17",
  "close": 212.41
}

List responses

Returned as a data array with pagination URLs:

{
  "data": [],
  "next_page_url": "/v3.0.0/tickers?limit=50&page=page_v1_opaque_token",
  "previous_page_url": null
}

First page: previous_page_url is null
Last page: next_page_url is null
Price-history list endpoints put the shared symbol and currency once on the envelope rather than repeating them on every row; these fields remain present even when data is empty

Binary response (one exception)

GET /v3.0.0/company/logo/{identifier} returns raw WebP or PNG bytes instead of JSON, with Content-Type, ETag, and Cache-Control headers. Conditional requests can return 304 Not Modified with an empty body. Logo failures still return the standard JSON error envelope.

Pagination

Most list endpoints use cursor-based pagination.

Request the first page without a page parameter:

curl "https://api.roic.ai/v3.0.0/tickers?limit=50" \
  -H "Authorization: Bearer $ROIC_API_KEY"

Follow the returned next_page_url:

curl "https://api.roic.ai/v3.0.0/tickers?limit=50&page=page_v1_opaque_token" \
  -H "Authorization: Bearer $ROIC_API_KEY"

Rules:

Page tokens are opaque — never decode, edit, or construct one manually. Each token is bound to the specific endpoint, filters, sort order, and limit that generated it.
Tokens expire after one hour.
Changing a filter, sort order, or page size requires starting a new request without a page parameter.
Query-authenticated clients must re-append ?apikey= on every followed page URL — returned page URLs never carry credentials.
The API uses stable keyset ordering, but underlying data can change between requests; store results locally if a reproducible dataset is required.
A small number of endpoints (e.g., the metric-definition list) are unpaginated — they return every matching record in one response and don't accept limit, page, or order; both page URLs are always null on these.

Error Codes

All errors use one consistent envelope:

{
  "error": {
    "type": "invalid_request_error",
    "code": "resource_missing",
    "message": "The requested resource does not exist.",
    "request_id": "req_0af7651916cd43dd8448eb211c80319c"
  }
}

Application logic should branch on type and code — not the human-readable message, which is not guaranteed to stay stable in wording. The optional param field, when present, identifies which request value needs to change.

HTTP Status	`type`	Meaning
400	`invalid_request_error`	Invalid parameter, body, or page token
401	`authentication_error`	Missing, conflicting, malformed, or unknown credentials
402	`payment_required_error`	Current plan does not include access to this resource
404	`invalid_request_error`	Resource or v3 route does not exist
409	`conflict_error`	Request conflicts with existing state
429	`rate_limit_error`	Request limit exceeded
500	`api_error`	Unexpected server-side failure
503	`api_error`	A required dependency is unavailable

Error responses carry Cache-Control: no-store and must not be cached. Every response — success or failure — includes a Request-Id header.

Documented retry policy:

429 → wait for the duration in Retry-After
500 / 503 → capped exponential backoff with jitter
Validation or authentication errors → correct the request before retrying; retrying unmodified requests will not succeed

Rate Limits

v2 and v3 requests draw from the same quota per API key, enforced on a sliding 60-second window. An authenticated request is counted against the quota before parameter validation runs, so even an invalid request consumes one call if the limit has not been reached.

Plan	Requests/minute	History available
Free	5	2 years
Individual	300	5 years
Professional	Unlimited	All available (40+ years)
Enterprise	Unlimited	All available (40+ years)

Rate-limit response headers

Present on most metered responses, but not guaranteed on every call:

Header	Meaning
`X-RateLimit-Limit`	Enforced limit for the current window
`X-RateLimit-Remaining`	Requests remaining after this one
`X-RateLimit-Reset`	Unix timestamp when the oldest request exits the window

429 response example

{
  "error": {
    "type": "rate_limit_error",
    "code": "rate_limit_exceeded",
    "message": "Rate limit exceeded for the free plan. Retry in 42 seconds or update your plan.",
    "request_id": "req_0af7651916cd43dd8448eb211c80319c"
  }
}

Full Endpoint Reference

Tickers

Endpoint	Purpose
List all tickers	Paginated catalog of all tickers
Retrieve a ticker	Single ticker resource
Search tickers	Resolve company name/symbol to ticker resources

Company

Endpoint	Purpose
Company profile	CEO, sector, industry, market cap, exchange listings, description
Company employees	Fiscal-year headcount history (SEC-sourced)
Company logo	Binary WebP/PNG, supports conditional requests

Earnings Calls

Endpoint	Purpose
List earnings calls	All available calls by year/quarter/date
Raw transcript	Unedited call transcript
Edited transcript	Cleaned/formatted transcript
Call audio	Audio file for the call
Slide decks	Presentation materials from the call
Filings	SEC filings tied to the earnings event

Calendar

Endpoint	Purpose
Earnings calendar	Scheduled and reported earnings with estimates/actuals/surprises

Stock Prices

Endpoint	Purpose
Historical prices	Daily OHLCV with date-range filtering
Latest price	Most recent quote, single ticker
List all latest stock prices	Market-wide latest-price snapshot

Stock Splits

Endpoint	Purpose
List stock splits	Market-wide or per-ticker split events

Financial Statements

Endpoint	Purpose
Income statement	Revenue, net income, EPS, EBITDA
Balance sheet	Assets, liabilities, equity, debt
Cash flow statement	Operating/investing/financing cash flow, CapEx, FCF

Financial Ratios

Endpoint	Purpose
Profitability ratios	ROE, ROA, ROIC, margins
Credit & debt ratios	Debt/EBITDA, debt/equity, interest coverage
Liquidity ratios	Current, quick, cash ratio, Altman Z-Score
Working capital ratios	Turnover ratios, cash conversion cycle
Yield analysis	FCF yield, shareholder yield, capital yield

Valuation

Endpoint	Purpose
Enterprise value	Market cap, EV, EV/Sales, EV/EBITDA
Valuation multiples	P/E, P/B, P/S, P/CF, EV multiples
Per-share data	EPS, revenue, book value, cash flow per share

Forex

Endpoint	Purpose
List forex pairs	Currency-pair catalog
Historical forex prices	Daily OHLC history for one pair
Latest forex price	Latest rate for one pair
List all latest forex prices	Latest rate, every pair

Bulk Downloads (paid plans only)

Endpoint	Purpose
Bulk fundamentals	Mass financial-statement export
Bulk earnings calls	Mass transcript export
Bulk stock prices	Mass price-history export

Reference Data

Endpoint	Purpose
Exchanges	All exchanges with ticker counts
Exchange trading hours	Full trading-session history per exchange
Exchange holidays	Holiday calendar per exchange
Markets	Markets with country codes and symbol counts
Sectors	All sectors with ticker counts
Industries	All industries with ticker counts
Countries	All countries with ticker counts

Full interactive documentation and the OpenAPI spec: roic.ai/api/docs

Pricing — All Four Plans

Billed monthly or annually; annual billing includes 2 free months.

Feature	Free	Individual	Professional	Enterprise
Price/month	$0	$29	$89	Custom
Requests/minute	5	300	Unlimited	Unlimited
Historical data	2 years	5 years	All available (40+ yrs)	All available (40+ yrs)
Market coverage	Worldwide	Worldwide	Worldwide	Worldwide
Annual financials	2 years	5 years	40+ years	40+ years
Quarterly financials	No	20 quarters	160+ quarters	160+ quarters
Financial ratios	2 years	5 years	40+ years	40+ years
Valuation metrics	2 years	5 years	40+ years	40+ years
Stock prices	2 years	5 years	All available	All available
Batch stock prices	No	Yes	Yes	Yes
Stock splits	2 years	5 years	All available	All available
Forex	2 years	5 years	All available	All available
Earnings call transcripts	2 quarters	2 quarters	All available	All available
Earnings calendar	No	No	Yes	Yes
Bulk downloads	No	No	Yes	Yes
Exchange calendars	No	Yes	Yes	Yes
MCP server access	Yes	Yes	Yes	Yes
Commercial-use license	No	No	No	Yes
Invoicing / multi-user access	No	No	No	Yes
Dedicated support	No	No	No	Yes

All four tiers include company profile data, ticker search, and reference data (sectors, industries, countries, exchanges) at no additional cost.

Note on earnings transcripts: both Free and Individual are capped at 2 quarters of call transcripts. Full transcript history (17+ years) is only unlocked on Professional and Enterprise, alongside the 40-year financial history.

MCP Server

ROIC.ai runs a hosted MCP (Model Context Protocol) server exposing 36 read-only tools to AI assistants. An assistant connected to the server selects the appropriate tool(s) based on a natural-language request, subject to the connected account's plan limits.

Server URL:

https://mcp.roic.ai/mcp

MCP server access is included on every plan, including Free. Plan limits (requests/minute, history depth) apply identically whether data is requested through the REST API or through MCP tool calls. Some calendar, exchange-schedule, and bulk-feed tools require a paid plan regardless of access method.

Plan	Requests/minute	History via MCP
Free	5	2 years
Individual	300	5 years
Professional	Unlimited	All available
Enterprise	Unlimited	All available

MCP Tool Reference (36 Tools)

Tickers & Discovery

Tool	Description
`search_tickers`	Search by ticker symbol or company name
`list_tickers`	List tickers with listing status, filterable by `listed`
`search_ticker_by_identifier`	Look up a ticker by CIK, CUSIP, or ISIN

Tool	Description
`get_company_profile`	CEO, employees, sector, industry, description
`list_employee_counts`	Historical fiscal-year employee counts
`get_company_news`	Recent news articles, paginated and date-filterable

Earnings Calls and Calendar

Tool	Description
`list_earnings_calendar`	Scheduled/reported earnings with estimates, actuals, surprises
`get_latest_earnings_call`	Most recent call transcript
`list_earnings_calls`	List all available calls by year, quarter, date
`get_earnings_call_transcript`	Specific transcript by year and quarter

Stock Prices and Splits

Tool	Description
`get_stock_prices`	Historical OHLCV with date-range filtering
`get_latest_stock_price`	Most recent price for one ticker
`list_latest_stock_prices`	Latest quote for every ticker, filterable by exchange
`list_stock_splits`	Market-wide or per-ticker split events

Financial Statements

Tool	Description
`get_income_statement`	Revenue, gross profit, operating income, net income, EPS, EBITDA, margins
`get_balance_sheet`	Assets, liabilities, equity, shares outstanding, debt
`get_cash_flow`	Operating/investing/financing cash flows, CapEx, free cash flow

Financial Ratios

Tool	Description
`get_profitability_ratios`	ROE, ROA, ROIC, margins, effective tax rate, payout ratio
`get_credit_ratios`	Debt/EBITDA, debt/equity, interest coverage
`get_liquidity_ratios`	Current ratio, quick ratio, cash ratio, Altman Z-Score
`get_working_capital_ratios`	Receivable/inventory/payable turnover, cash conversion cycle
`get_yield_analysis`	FCF yield, shareholder yield, capital yield

Valuation & Metrics

Tool	Description
`get_enterprise_value`	Market cap, enterprise value, EV/Sales, EV/EBITDA
`get_valuation_multiples`	P/E, P/B, P/S, P/CF, EV multiples (last/avg/high/low)
`get_per_share_data`	EPS, revenue, EBITDA, book value, cash flow per share

Reference Data

Tool	Description
`list_exchanges`	All exchanges with ticker counts
`get_exchange_trading_hours`	Full trading-session history for one exchange
`get_exchange_holidays`	Holiday calendar for one exchange
`list_markets`	Markets with country codes, exchanges, symbol counts
`list_sectors`	All sectors with ticker counts
`list_industries`	All industries with ticker counts
`list_countries`	All countries with ticker counts

Forex

Tool	Description
`list_forex_pairs`	Currency-pair catalog with base, quote, synthetic status
`get_forex_prices`	Historical daily OHLC rates, one pair
`get_latest_forex_price`	Latest daily rate, one pair
`list_latest_forex_prices`	Latest rate for every pair, filterable by currency

Example natural-language queries

Tell me about Apple's business. What do they do, who's the CEO,
and how many employees do they have?

Routes to get_company_profile.

Compare Microsoft and Google's profitability over the last 3 years.
Show me their margins and ROE.

Routes to get_profitability_ratios, called once per ticker.

What did Apple's management say about AI in their latest earnings call?

Routes to get_latest_earnings_call.

Is Tesla overvalued? Show me its P/E ratio, EV/EBITDA, and
price-to-sales compared to the last 5 years.

Routes to get_valuation_multiples with a historical range.

Show me Amazon's stock price performance for January 2025.

Routes to get_stock_prices with date filters.

Which sectors have the most publicly traded companies?

Routes to list_sectors.

MCP Setup by Client

ChatGPT

Open Settings → Apps → Advanced settings
Toggle Developer mode on
Click Create to open the New App configuration window
Fill in: Name Roic AI, Connection type Server URL, URL https://mcp.roic.ai/mcp
Check "I understand and want to continue", click Create
Click Sign in with Roic AI and authorize in the browser tab that opens
In a new chat, click + → More → Roic AI to attach the tool

Claude Code (CLI)

claude mcp add --transport http roicai https://mcp.roic.ai/mcp

Verify the connection:

claude mcp list

Claude (desktop/web)

Profile icon (bottom-left) → Customize
Connectors → Add custom connector
Name: Roic AI; Remote MCP server URL: https://mcp.roic.ai/mcp
Click Add, wait for the connection check, then click Connect
Authorize in the browser window that opens
Review Tool permissions (default may be "Needs approval"; can be changed to "Always allow")
Start a new chat and confirm the connector is active via the + icon

VS Code

Open Command Palette (Cmd+Shift+P / Ctrl+Shift+P)
Search for and select MCP: Add Server
Choose HTTP as the transport type
Enter URL: https://mcp.roic.ai/mcp
Name the server (e.g., roicai) and press Enter
Authorize in the browser window that opens

OpenAI Codex

CLI:

codex mcp add roicai --url https://mcp.roic.ai/mcp

Or in ~/.codex/config.toml:

[mcp_servers.roicai]
url = "https://mcp.roic.ai/mcp"

Manual JSON configuration (any compatible MCP client)

{
  "mcpServers": {
    "roicai": {
      "url": "https://mcp.roic.ai/mcp",
      "transport": "http"
    }
  }
}

Self-Hosting the MCP Server

The MCP server is open source, published at github.com/roicai/mcp-server. It runs locally with one command:

ROIC_API_KEY=your_key npx @roicai/mcp-server

This runs over stdio and authenticates with a standard REST API key instead of OAuth — relevant for CI pipelines, automation scripts, or any MCP client that doesn't support hosted OAuth flows.

Configuration for Claude Desktop, Cursor, or any command-based MCP client:

{
  "mcpServers": {
    "roicai": {
      "command": "npx",
      "args": ["-y", "@roicai/mcp-server"],
      "env": { "ROIC_API_KEY": "your_key" }
    }
  }
}

Review the repository's license and recent commit history directly on GitHub before adopting it as a dependency, as with any third-party package.

SDKs

Official SDKs/clients: Python, JavaScript/Node.js, Ruby, Go, plus raw cURL examples throughout the docs.

Python install and basic usage:

pip install roicai

from roicai import Roicai

client = Roicai(api_key="YOUR_API_KEY")
prices = client.stock_prices.list("NASDAQ:AAPL")

for day in prices.items:
    print(day.date, day.close)

Known Limitations

Based on the publicly available documentation at the time of writing, the API does not currently include:

Intraday or tick-level price data — historical and latest prices are daily OHLCV only
Options chain or derivatives data
Cryptocurrency data
Full earnings call transcript history on Free or Individual plans — both are capped at 2 quarters; full history requires Professional or Enterprise
Earnings calendar or bulk downloads on Free or Individual plans — both require Professional or above
Commercial redistribution rights outside the Enterprise plan

Reference Links

Resource	Link
Homepage	roic.ai
Sign up	roic.ai/signup
API docs (full)	roic.ai/api/docs
Getting started	roic.ai/api/docs/getting-started
Authentication docs	roic.ai/api/docs/authentication
Response format docs	roic.ai/api/docs/response-format
OpenAPI spec	roic.ai/api/docs/openapi
MCP docs	roic.ai/api/mcp
Self-hosted MCP (GitHub)	github.com/roicai/mcp-server
Pricing	roic.ai/pricing
Status page	status.roic.ai
Base API URL	`https://api.roic.ai`
MCP server URL	`https://mcp.roic.ai/mcp`

All pricing, rate limits, and endpoint details in this guide reflect the public documentation at the time of writing. APIs and pricing change over time — verify current details at roic.ai/pricing and roic.ai/api/docs before making integration decisions based on this reference.

TheBitForgeFollow

Founder @thebitforge.dev • Software & AI Product Agency • 181K+ readers & 7K+ followers • We turn ideas into digital products people 💙 to use | visit us also on insta @thebitforge.dev

Roic AI Follow

ROIC AI empowers developers, investors, and analysts with financial data APIs, company fundamentals, valuation metrics, Python tutorials, and AI-powered research to build smarter applications and uncover actionable insights.

101 Best Financial Data APIs in 2026

TheBitForge — Fri, 23 Oct 2026 11:17:44 +0000

You find the perfect side project idea, open the docs of the first finance API Google gives you, and twenty minutes later you're staring at a rate-limit error, a pricing page full of "Contact sales" buttons, or data that quietly stops at 2019.

So we went through a long list of financial data APIs, dropped the ones that shut down, got renamed or were never real APIs, and sorted the rest by what you're actually building. Each section below is a table you can scan in seconds.

TL;DR

If you need...	Start with
Clean fundamentals and ready-made ratios	roic.ai, Financial Modeling Prep
A free key to prototype with	Alpha Vantage, Finnhub, Twelve Data
Tick-level and options data	Massive (ex-Polygon.io), Databento
SEC filings	SEC EDGAR, SEC-API.io
Global macro data	FRED, World Bank, Trading Economics
Crypto prices	CoinGecko, CoinMarketCap
Currency conversion	Open Exchange Rates, Frankfurter
Bank account data	Plaid, TrueLayer
Enterprise-grade coverage	Bloomberg, LSEG, FactSet, S&P Capital IQ

What's inside

Featured Pick: A Fundamentals-First Financial Data API (1-1)
Stock Market Data and Fundamentals APIs (2-28)
SEC Filings, Company and Research APIs (29-36)
Government and Central Bank Data APIs (37-48)
Crypto Data APIs (49-62)
Forex and Currency APIs (63-72)
Fixed Income, Derivatives and Exchange Data (73-79)
News, Sentiment and Alternative Data APIs (80-88)
Banking, Open Banking and Payments APIs (89-101)
Platforms we left out
FAQ

How to pick one without regret

Question	Why it matters
What data do you actually need?	Prices, fundamentals, filings, macro, crypto and FX each have different leaders
How fresh must it be?	End-of-day is cheap and everywhere, real-time and tick data cost real money
Where do your tickers trade?	Many free APIs are great for US stocks and thin everywhere else
What do the licensing terms say?	Public display or redistribution often needs a different plan than internal use
What if the provider vanishes?	IEX Cloud shut down on August 31, 2024, so keep your integration layer thin
What are the rate limits?	A free tier that throttles at 5 calls a minute is a demo, not a product

💡 Tip: test with the ten tickers you really care about, including awkward ones like recent IPOs, ADRs and delisted names. It tells you more than any comparison table.

Featured Pick: A Fundamentals-First Financial Data API

If you're building anything that depends on clean company financials, start here.

1. roic.ai ( @vladcx )

The write-up below sticks to what its public docs say.

roic.ai is a fundamentals-first API. Instead of handing you raw statements and leaving the math to you, it returns standardized financial statements next to pre-calculated ratios like ROIC, ROE, debt-to-EBITDA and Altman Z-score, plus valuation multiples and per-share data.

What stands out:

Wide coverage: public companies across 70+ global exchanges.
Flexible identifiers: API v2 accepts ticker, CIK, CUSIP and ISIN, so you skip a lot of symbol mapping.
Earnings call transcripts: a dedicated transcripts API sits beside statements and ratios.
AI-ready: an official MCP server connects Claude, ChatGPT, Cursor, VS Code and Codex to the data, with OAuth sign-in or an API key.
Spreadsheet friendly: a Google Sheets integration pulls the same fundamentals into your sheets.
Easy start: the docs describe a free tier with no credit card, and paid plans raise limits and history depth.

Here's the whole "hello world" from their getting-started docs:

curl "https://api.roic.ai/v2/company/profile/AAPL?apikey=YOUR_API_KEY"

Best for: fundamental investors, equity research tools, AI assistants that need reliable numbers, and devs who'd rather not compute ratios themselves.

Heads-up: it's fundamentals-first. If you need tick-level data or order books, pair it with something like Databento or Massive. Check the pricing page for current limits.

Explore the roic.ai API →

👉 Get a free roic.ai API key → and run it on a few tickers you already know.

Stock Market Data and Fundamentals APIs

This is the busiest corner of the market, and the one most developers care about first. Prices, financial statements, ratios, filings, and technical indicators all live here.

#	Provider	What it is	Good to know
2	Financial Modeling Prep (FMP)	FMP is a go-to for statements, ratios, and market prices in one REST API.	It also covers ETFs, forex, crypto, and news. Developers like that the endpoints are predictable and the free tier lets you test before paying. It also marketed itself as an alternative after IEX Cloud closed.
3	Alpha Vantage	One of the most recognizable names for hobbyists and startups.	You get stocks, ETFs, FX, crypto, commodities, fundamentals, and a long list of built-in technical indicators over simple JSON or CSV calls. It has a free key, and it has added MCP support for AI agents. The free tier is rate-limited, so plan for that.
4	EOD Historical Data (EODHD)	EODHD focuses on broad global coverage at a lower price than the enterprise vendors.	It offers end-of-day, intraday, fundamentals, options, and forex data across a large number of exchanges. A solid choice when you need international tickers without an enterprise contract.
5	Massive (formerly Polygon.io)	Polygon.io rebranded as Massive on October 30, 2025.	The old api.polygon.io base is still supported, with a parallel api.massive.com base. It is best known for deep tick-level and options data across stocks, options, forex, and crypto, and it is priced per asset class.
6	Databento	Databento delivers raw, normalized market data straight from exchange feeds, with historical and live access.	It suits quant teams, backtesting, and anyone who cares about tick-level accuracy and clean symbology more than a friendly spreadsheet export.
7	Tiingo	Tiingo pairs clean end-of-day price history with news and a developer-friendly API.	It has a long-standing reputation for data quality among retail quants and Python users, with a free tier for experimenting.
8	Finnhub	Finnhub covers real-time US quotes, fundamentals, company news, alternative datasets, and forex and crypto.	Its free tier is generous enough for side projects, which is why it shows up in so many tutorials.
9	Twelve Data	Twelve Data offers time series, technical indicators, fundamentals, and WebSocket streaming across stocks, forex, and crypto.	The documentation is tidy and the client libraries are easy to get running quickly.
10	Intrinio	Intrinio sells standardized fundamentals, real-time and historical prices, options, and other datasets with clear licensing options.	It was the provider IEX named when it told customers about its closure, and it is aimed at fintechs that need compliant redistribution.
11	FinancialData.net	A newer entrant covering stock prices, fundamentals, insider transactions, and more through a simple API.	Worth a look if you want one provider for several datasets and clear flat-rate pricing.
12	Marketstack	Part of the APILayer family, Marketstack provides real-time, intraday, and end-of-day stock data from many global exchanges.	It is simple, low-cost, and a comfortable pick for dashboards and basic apps.
13	Nasdaq Data Link (formerly Quandl)	The home of the datasets that made Quandl famous, now under Nasdaq.	You can browse a large catalog of free and premium datasets covering markets, economics, and alternative data, accessed through one consistent API.
14	Xignite	A cloud market-data provider used by banks, brokerages, and fintechs.	Morningstar acquired Xignite in 2019, so it sits in the same family as Morningstar's data products. Expect a sales-led process rather than a self-serve signup.
15	Barchart OnDemand	Barchart's APIs cover equities, futures, options, and forex, with a particularly strong reputation for futures and commodities data.	They are usually bought by firms that want licensed exchange data with support.
16	Tradier	Tradier is a brokerage with an API that exposes quotes, options chains, and trading.	It is a handy choice if you want market data and order execution from the same developer platform.
17	Alpaca Market Data	Alpaca is an API-first broker that also sells market data for US stocks, options, and crypto.	It is popular with algo traders who want data and paper trading in the same ecosystem.
18	Yahoo Finance (unofficial, via yfinance)	Yahoo no longer offers a supported public API, but the open-source yfinance library scrapes its pages and is everywhere in tutorials.	Great for learning and quick experiments. We would not build a paid product on it, because there is no SLA and it can break without notice.
19	Morningstar	Morningstar's developer portal sells fund, equity, ESG, and ratings data.	If your product revolves around mutual funds and ETFs, Morningstar's research depth is hard to beat, though it comes with enterprise pricing.
20	FactSet	FactSet offers a wide set of APIs for fundamentals, estimates, ownership, and market data, mostly used by institutions.	Expect enterprise contracts and strong support.
21	S&P Capital IQ	S&P Global Market Intelligence provides company financials, estimates, and credit data through Capital IQ products and APIs.	It is an institutional standard for corporate research.
22	LSEG Data & Analytics (formerly Refinitiv)	Refinitiv is now part of the London Stock Exchange Group.	The developer portal exposes real-time and historical data, fundamentals, news, and Datastream content. It is built for large firms with licensing needs.
23	Bloomberg (B-PIPE and Data License)	The heavyweight of the industry.	Bloomberg offers real-time feeds and reference data for firms that already live in its ecosystem. It is rarely the right call for a small team, but it is the benchmark everyone else is measured against.
24	ICE Data Services	ICE sells exchange data, reference data, and pricing for equities, fixed income, and derivatives.	It is part of the company that owns the New York Stock Exchange.
25	Zacks	Zacks is known for earnings estimates, rankings, and stock research.	It has data products for institutions and developers who want its estimate-driven view of stocks.
26	TradeStation API	TradeStation exposes market data and trading through its brokerage API, covering equities, options, and futures.	It is a practical option for traders building automated strategies.
27	Charles Schwab Trader API	Schwab's developer portal offers market data and trading APIs for clients, including quotes and order management.	Access requires an approved developer app and a brokerage relationship, so budget time for onboarding.
28	Interactive Brokers API	Interactive Brokers provides APIs for market data and order execution across global markets, but you need a brokerage account.	It is powerful and a bit old-school to set up.

SEC Filings, Company and Research APIs

Filings and research data are where fundamental investors and AI builders spend a lot of time. Some of the best sources here cost nothing.

#	Provider	What it is	Good to know
29	SEC EDGAR APIs	The SEC's own APIs deliver filing metadata and structured XBRL data for US public companies, free of charge.	Raw EDGAR is the ground truth for 10-Ks and 8-Ks, though you will do some parsing work yourself. Respect the SEC's fair-access limits.
30	SEC-API.io	A commercial layer on top of EDGAR that offers search, real-time filing streams, and parsed sections of filings.	It saves a lot of engineering time if you need filings turned into usable JSON.
31	AlphaSense	AlphaSense is a market-intelligence platform for filings, transcripts, broker research, and news, with enterprise APIs.	It absorbed Sentieo, the older research platform some lists still mention.
32	Crunchbase	Crunchbase's API covers private companies, funding rounds, investors, and acquisitions.	It is the usual starting point for startup and venture data.
33	CB Insights	CB Insights offers tech and startup intelligence, deals, and market maps, with enterprise data access.	It suits corporate strategy and VC teams more than individual developers.
34	MSCI	MSCI is a major provider of indexes, risk analytics, and ESG ratings.	Its data is typically licensed by asset managers and large platforms.
35	RepRisk	RepRisk specializes in ESG and business-conduct risk data built from media and public sources.	It is a common choice for compliance and sustainable-investing workflows.
36	Trading Economics	Trading Economics serves macro indicators, forecasts, and market data for a large number of countries.	It is a convenient single source when you need global economic series in one place.

Government and Central Bank Data APIs

These are official sources. They are free, authoritative, and often more stable than commercial vendors, although the formats can be quirky.

#	Provider	What it is	Good to know
37	FRED (St. Louis Fed)	FRED hosts hundreds of thousands of economic time series, from interest rates to inflation, through a free API key.	It is the first stop for anyone building an economics dashboard.
38	World Bank Open Data API	Free, well-documented access to development indicators for most of the world's economies.	Good for long-term, cross-country analysis.
39	IMF Data	The International Monetary Fund publishes international financial statistics and macro data through its data portal and web services.	It's useful for balance-of-payments, exchange rates, and country-level economics.
40	OECD Data API	The OECD provides statistics for its member economies through an SDMX-based API.	It is excellent for comparing developed economies on labor, trade, and prices.
41	BIS Data Portal	The Bank for International Settlements shares banking, credit, and exchange-rate statistics, including data via its bulk download and API tools.	It is niche but valuable for systemic-risk research.
42	ECB Data Portal	The European Central Bank's data portal exposes euro-area statistics and official euro foreign exchange reference rates.	It replaced the older Statistical Data Warehouse interface.
43	Eurostat API	Eurostat offers EU-wide economic and social statistics through web services.	Handy for anything tied to European macro trends.
44	Bank of England Database	The Bank of England publishes UK interest rates, gilt yields, and monetary statistics in its Statistical Interactive Database, with CSV and XML access.	—
45	Bank of Canada Valet API	Valet is the Bank of Canada's free API for exchange rates, interest rates, and other time series.	It is simple and refreshingly easy to use.
46	Bank of Japan Time-Series Data	The Bank of Japan's statistics portal provides time-series data on rates, money supply, and prices.	Check the current documentation for programmatic access options.
47	Banque de France Webstat	Banque de France publishes French and euro-area statistics through Webstat, including an API for series access.	—
48	U.S. Treasury FiscalData API	The US Treasury's free API covers debt, interest rates, exchange rates, and federal finance data.	No signup required for most endpoints.

Crypto Data APIs

Crypto data is its own universe, with thousands of assets, hundreds of exchanges, and lots of ways for the numbers to disagree.

#	Provider	What it is	Good to know
49	CoinGecko API	CoinGecko describes itself as an independent crypto data aggregator, and its API covers prices, market caps, exchange data, NFTs, and DeFi metrics for a huge range of coins.	A free tier exists, with paid plans for higher limits.
50	CoinMarketCap API	CoinMarketCap offers rankings, quotes, and metadata for crypto assets and exchanges.	It's the other big name next to CoinGecko, with a free basic plan.
51	CoinDesk Data (formerly CryptoCompare)	CryptoCompare's data business now operates under the CoinDesk Data brand.	It provides real-time and historical prices, order books, and indices aimed at both developers and institutions.
52	Messari	Messari combines market data with research, asset profiles, and on-chain fundamentals.	A good fit for analysts who want context along with prices.
53	Kaiko	Kaiko provides institutional-grade tick data, order books, and reference rates across many exchanges.	It is targeted at funds, banks, and index providers.
54	CoinAPI	CoinAPI normalizes trades, quotes, and order books from a large number of crypto exchanges into one API, with REST, WebSocket, and FIX access.	—
55	CoinCap API	CoinCap offers simple, real-time crypto prices and market data via REST and WebSocket.	A friendly pick for demos and lightweight apps.
56	Glassnode	Glassnode is known for on-chain analytics such as active addresses, supply metrics, and market indicators.	Its API is popular with analysts who trade on fundamentals of the chain itself.
57	Coinbase Exchange and Advanced Trade API	Coinbase exposes market data and trading endpoints for its exchange.	Useful when you only need prices and execution for assets listed there.
58	Kraken API	Kraken provides public market data and authenticated trading through REST and WebSocket APIs.	Public endpoints work without an account.
59	Binance API	Binance's public APIs cover spot and derivatives market data with very high liquidity coverage.	Availability and rules vary by region, so check where your users are.
60	Gemini API	Gemini offers market data and trading APIs for its US-regulated exchange, with public endpoints for prices and order books.	—
61	BitMEX API	BitMEX provides market data and trading for crypto derivatives like perpetual swaps.	It suits derivatives-focused traders and researchers.
62	Bitstamp API	One of the longest-running exchanges, Bitstamp provides a clean public API for spot prices and order books.	—

Forex and Currency APIs

Currency conversion looks easy until you need history, reliability, and a sensible rate limit. These APIs cover the spectrum from free to broker-grade.

#	Provider	What it is	Good to know
63	Open Exchange Rates	A long-running JSON API for exchange rates with a free plan and paid tiers for higher volume, more frequent updates, and more features.	It is widely used in e-commerce and finance apps.
64	Fixer	Another APILayer product, Fixer returns live and historical rates for a wide set of currencies, with a free plan to start.	—
65	Currencylayer	Also from APILayer, Currencylayer provides real-time and historical rates for many currencies with a free tier and paid upgrades.	—
66	XE Currency Data	XE is a household name in currency conversion, and its data API serves commercial users.	Pricing is paid.
67	OANDA Exchange Rates API	OANDA offers exchange-rate data and, for account holders, trading APIs.	It is a regulated broker with a long history in FX.
68	1Forge	1Forge focuses on real-time forex quotes with a free tier and paid plans.	Check current availability and plans before committing, as smaller vendors change often.
69	TrueFX	TrueFX provides free tick-level interbank forex data after registration, which is handy for backtesting.	—
70	ExchangeRate-API	A straightforward currency API with a free plan and simple pricing.	Very quick to integrate.
71	Frankfurter	A free, open-source exchange-rate API built on reference rates published by central banks, mainly the European Central Bank.	No key required.
72	Currencycloud	Currencycloud, now part of Visa, offers cross-border payments and FX APIs.	It suits fintechs that need to move money internationally.

Fixed Income, Derivatives and Exchange Data

Bond and derivatives data tends to be more fragmented and more expensive. These are the exchanges, utilities, and platforms behind many feeds.

#	Provider	What it is	Good to know
73	CME Group Market Data	CME Group offers real-time and historical futures and options data, including its DataMine historical archive.	It is the primary source for CME-listed products.
74	Cboe Market Data	Cboe provides options, equities, and volatility index data through its market data services.	The go-to source for VIX-related products.
75	MarketAxess	MarketAxess runs an electronic bond-trading platform and provides credit market data and analytics to subscribers.	—
76	Tradeweb	Tradeweb operates electronic markets for rates, credit, and derivatives, and provides market data to clients.	—
77	DTCC Data	DTCC runs core clearing and settlement infrastructure and publishes data products, including public trade repository reports.	—
78	FINRA TRACE	FINRA's TRACE system collects US corporate bond trade reports and distributes the data through licensed feeds and public statistics.	—
79	MSRB EMMA	EMMA is the official source for US municipal bond disclosures and trade data, offered by the Municipal Securities Rulemaking Board.	—

News, Sentiment and Alternative Data APIs

Headlines and sentiment are noisy by nature. The providers below range from free community sources to quant-grade feeds.

#	Provider	What it is	Good to know
80	NewsAPI.org	A simple API for headlines and articles from many publishers.	Good for prototypes, with limitations on free use.
81	Webz.io (formerly Webhose)	Webz.io delivers structured news, blog, and forum data from across the open and dark web, aimed at monitoring and analytics teams.	—
82	Aylien (now part of Quantexa)	Aylien built news-intelligence and NLP APIs for entity extraction and sentiment, and is now part of Quantexa.	Confirm current product availability before building on it.
83	StockTwits API	StockTwits offers social sentiment from a community of retail traders.	Useful as a signal, as long as you remember it reflects crowd mood rather than facts.
84	GDELT Project	GDELT monitors global news and publishes free datasets and APIs for events, tone, and themes.	A favorite of researchers.
85	RavenPack	RavenPack turns news and text into structured analytics and sentiment for quant funds and risk teams.	Enterprise pricing applies.
86	Meltwater	Meltwater provides media monitoring and social listening with API access, mostly for marketing and communications teams.	—
87	Dow Jones Factiva	Factiva is a deep archive of global news and business content with enterprise APIs.	Built for corporate and institutional research.
88	Benzinga APIs	Benzinga provides real-time news, calendars, and market-moving headlines to traders and fintech apps.	—

Banking, Open Banking and Payments APIs

Not exactly market data, but if your product touches users' money, you will meet these names quickly.

#	Provider	What it is	Good to know
89	Plaid	Plaid connects apps to users' bank accounts for balances, transactions, identity, and payments.	It is the most recognized account-aggregation API in North America and also operates in parts of Europe.
90	TrueLayer	TrueLayer offers open banking data and payment initiation across the UK and Europe.	It is a staple for European fintechs.
91	Yodlee	Yodlee, from Envestnet, has long provided account aggregation and financial data enrichment at scale.	—
92	Tink	Tink is a European open banking platform, now owned by Visa, covering account data, payments, and money-management tools.	—
93	Finicity	Finicity, part of Mastercard, provides account verification and financial data for lending and personal finance use cases in the US.	—
94	MX	MX provides data aggregation and enrichment to banks and fintechs, with a focus on cleaner transaction data.	—
95	Stripe	Stripe is primarily a payments platform, but its APIs for payments, billing, and financial connections make it part of many fintech stacks.	—
96	Square Developer	Square's APIs power payments, payouts, and commerce for businesses of all sizes.	—
97	Dwolla	Dwolla offers an API for ACH bank-to-bank payments in the US, aimed at platforms that move money between accounts.	—
98	GoCardless Bank Account Data	GoCardless provides open banking account data across Europe and the UK through a developer-friendly API.	—
99	Wise Platform	Wise Platform lets businesses embed international transfers and multi-currency accounts through its APIs.	A practical option when your product needs cross-border payouts with transparent FX.
100	BBVA API Market	BBVA's API marketplace exposes banking services such as accounts and payments to partners.	—
101	Open Banking UK	Not a data vendor itself, but the standards body behind UK open banking.	Its directory and specifications are essential reading if you build there.

Platforms we left out (and why)

Name	Why it's not here
IEX Cloud	Retired all products on August 31, 2024
Polygon.io (old name)	Still alive, now called Massive, so it's listed that way
Nomics	We couldn't confirm it still serves a public API
Google Finance	No official public API
Sentieo	Folded into AlphaSense, which has its own entry
Venmo / Cash App	No public financial-data APIs
Made-up providers	If a vendor can't be found on the real web, it doesn't belong here

Before you commit

Do this	Because
Compare two vendors	Small differences in standardizing fundamentals can change a ratio
Read the terms	Personal use, internal use and public display are priced differently
Cache what you can	Lower bill and fewer outages
Check the live pricing page	Plans change, and no guide can replace the real page

FAQ

What's the best free financial data API?
For prototypes, Alpha Vantage, Finnhub and Twelve Data are common starting points, and roic.ai documents a free tier with no credit card. Free plans are rate-limited, so check the limits against your use case.

Which API is best for fundamentals?
Look for standardized statements and pre-computed ratios. roic.ai, Financial Modeling Prep, Intrinio and FactSet are all built around fundamentals, at very different price points.

What's the best API for real-time stock data?
Massive (formerly Polygon.io), Databento, Alpaca and Finnhub are popular for real-time US data. Confirm whether you're getting consolidated, exchange-licensed or delayed data.

Is there an official Yahoo Finance API?
No. The popular yfinance library scrapes Yahoo pages, which is fine for learning but risky in production.

Where can I get SEC filings through an API?
SEC EDGAR has free APIs. SEC-API.io and AlphaSense add search and parsing on top.

Which API is best for crypto data?
CoinGecko and CoinMarketCap cover broad market data, Kaiko and CoinAPI suit institutional needs, and Glassnode specializes in on-chain metrics.

Can AI assistants use financial data APIs?
Yes. Several providers now offer Model Context Protocol (MCP) servers so tools like Claude, ChatGPT and Cursor can query data directly. roic.ai and Alpha Vantage both document MCP support.

Can I make investment decisions from this data?
A data API only delivers data. It isn't advice, and data can be wrong or delayed. Verify important figures against primary sources.

Where we'd start

There's no single winner, because "best" depends on what you're building. Prototype with a free key, use official sources for macro data, and pay for exchange-grade feeds only when your product truly needs them.

If your project is built on company fundamentals, we'd begin with roic.ai. It returns standardized statements, ready-made ratios, valuation multiples and earnings transcripts through one REST API, and plugs into AI assistants through MCP.

👉 Get a free roic.ai API key →

Found this useful?

❤️ Drop a reaction so more devs find it
🔖 Save it for your next project
💬 Tell us in the comments: which financial data API are you using right now, and why did you pick it?
➕ Follow for more developer guides

DEV Community: Roic AI

Best Finance Data APIS

Table of contents

The quick answer

Why ROIC.ai is my top pick

Pricing and limits

The honest limits

A first request

Connecting an AI assistant

ROIC.ai Complete Guide - Financial Data API, Pricing, Endpoints, and the 36-Tool MCP Server

How to judge a finance data API

The comparison at a glance

The other best finance data APIs

Alpha Vantage

Financial Modeling Prep

Massive, formerly Polygon.io

Twelve Data

Finnhub

EODHD

Tiingo

SEC EDGAR

Measure them yourself

Mistakes that cost real money

Frequently asked questions

Final thoughts

ROIC.ai Complete Guide - Financial Data API, Pricing, Endpoints, and the 36-Tool MCP Server

Table of Contents

Overview

Data Coverage

Fundamentals

Earnings

Market Data

Company Data

Account Setup and API Keys

Authentication

Method 1: Query parameter

Method 2: Bearer token (recommended)

Base URL and First Request

Response Format

Single-resource responses

List responses

Binary response (one exception)

Pagination

Error Codes

Rate Limits

Rate-limit response headers

429 response example

Full Endpoint Reference

Tickers

Company

Earnings Calls

Calendar

Stock Prices

Stock Splits

Financial Statements

Financial Ratios

Valuation

Forex

Bulk Downloads (paid plans only)

Reference Data

Pricing — All Four Plans

MCP Server

MCP Tool Reference (36 Tools)

Tickers & Discovery

Company Information

Earnings Calls and Calendar

Stock Prices and Splits

Financial Statements

Financial Ratios

Valuation & Metrics

Reference Data

Forex

Example natural-language queries

MCP Setup by Client

ChatGPT

Claude Code (CLI)

Claude (desktop/web)

VS Code

OpenAI Codex

Manual JSON configuration (any compatible MCP client)