Financial Modeling Prep
Financial Modeling Prep (FMP) is a financial data API provider offering real-time and historical market data, company fundamentals, and regulatory filings through more than 100 REST endpoints plus real-time WebSocket streams. Coverage includes income statements, balance sheets, and cash-flow statements; stock, ETF, index, forex, crypto, and commodity quotes; up to 30 years of historical prices; SEC filings (10-K, 10-Q, 8-K); analyst estimates and price targets; key metrics, ratios, and enterprise values; and macroeconomic indicators such as GDP, treasury rates, and inflation. Data is delivered as JSON or CSV over the stable REST base (financialmodelingprep.com/stable) with API-key authentication, and a free tier allows up to 250 requests per day.
Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.
API Evangelist profiles Financial Modeling Prep the way a machine reads it — 15 machine-readable artifacts across 7 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Financial Modeling Prep scores 43.7/100 (thin), with a separate agent-readiness read of 54/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Financial Modeling Prep
Each block below is one kind of artifact we hold for Financial Modeling Prep. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 7
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Financial Modeling Prep Real-Time WebSocket API
Real-time streaming market data over WebSocket for stocks, crypto, and forex. Clients connect, send a login event carrying their API key, then subscribe to tickers to receive to...
Financial Modeling Prep Analyst Estimates API
Consensus estimates, price targets, and rating grades.
Financial Modeling Prep Economic Data API
Macroeconomic indicators, treasury rates, and economic calendar.
Financial Modeling Prep Financial Statements API
Income statement, balance sheet, and cash-flow statement data.
Financial Modeling Prep Fundamentals API
Company profile plus derived key metrics and ratios.
Financial Modeling Prep Quotes and Prices API
Real-time quotes and historical end-of-day prices.
Financial Modeling Prep SEC Filings API
Latest and searchable SEC filings for public companies.
Scroll within the panel for all 7 ·
Open Collections 1
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Financial Modeling Prep API
OPEN COLLECTIONPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Financialmodelingprep Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Event Specifications 1
Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Financial Modeling Prep Real-Time WebSocket API
AsyncAPI 2.6 description of Financial Modeling Prep's real-time market data WebSocket surface, documented at https://site.financialmodelingprep.com/datasets/websocket and https:...
ASYNCAPISpectral Rules 1
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Financial Modeling Prep API Rules
SPECTRALSecurity Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Financial Modeling Prep — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
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