Financial Modeling Prep
Financial Modeling Prep (FMP) provides financial market data via REST APIs, including real-time and historical stock quotes, company fundamentals, income statements, balance sheets, cash flow statements, financial ratios, insider transactions, earnings, dividends, ETF and mutual fund data, and economic indicators - with up to 30 years of historical coverage.
Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.
API Evangelist profiles Financial Modeling Prep the way a machine reads it — 49 machine-readable artifacts across 1 API, 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 66.6/100 (exemplar), with a separate agent-readiness read of 38/100 (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. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
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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 10
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 Balance Sheet Statement API
The Balance Sheet Statement API from Financial Modeling Prep — 1 operation(s) for balance sheet statement.
Financial Modeling Prep Cash Flow Statement API
The Cash Flow Statement API from Financial Modeling Prep — 1 operation(s) for cash flow statement.
Financial Modeling Prep Historical Price Full API
The Historical Price Full API from Financial Modeling Prep — 1 operation(s) for historical price full.
Financial Modeling Prep Income Statement API
The Income Statement API from Financial Modeling Prep — 1 operation(s) for income statement.
Financial Modeling Prep Insider Trading API
The Insider Trading API from Financial Modeling Prep — 1 operation(s) for insider trading.
Financial Modeling Prep Profile API
The Profile API from Financial Modeling Prep — 1 operation(s) for profile.
Financial Modeling Prep Quote API
The Quote API from Financial Modeling Prep — 1 operation(s) for quote.
Financial Modeling Prep Ratios API
The Ratios API from Financial Modeling Prep — 1 operation(s) for ratios.
Financial Modeling Prep Search API
The Search API from Financial Modeling Prep — 1 operation(s) for search.
Financial Modeling Prep Stock API
The Stock API from Financial Modeling Prep — 1 operation(s) for stock.
Scroll within the panel for all 10 ·
Postman Collections 10
A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.
Ready-to-run Postman collections for exercising this provider's APIs.
Scroll within the panel for all 10 ·
Open Collections 19
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).
API Collection
OPEN COLLECTIONFinancial Modeling Prep Analyst Estimates API
OPEN COLLECTIONFinancial Modeling Prep Balance Sheet Statement API
OPEN COLLECTIONFinancial Modeling Prep Cash Flow Statement API
OPEN COLLECTIONFinancial Modeling Prep Analyst Estimates Economic Data API
OPEN COLLECTIONFinancial Modeling Prep Analyst Estimates Fundamentals API
OPEN COLLECTIONFinancial Modeling Prep Historical Price Full API
OPEN COLLECTIONFinancial Modeling Prep Income Statement API
OPEN COLLECTIONFinancial Modeling Prep Insider Trading API
OPEN COLLECTIONFinancial Modeling Prep Profile API
OPEN COLLECTIONFinancial Modeling Prep Quote API
OPEN COLLECTIONFinancial Modeling Prep Ratios API
OPEN COLLECTIONFinancial Modeling Prep Search API
OPEN COLLECTIONFinancial Modeling Prep Analyst Estimates SEC Filings API
OPEN COLLECTIONFinancial Modeling Prep Stock API
OPEN COLLECTIONFinancial Modeling Prep API
OPEN COLLECTIONFinancial Modeling Prep API
OPEN COLLECTIONScroll within the panel for all 19 ·
Pricing 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 things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.
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.
Financial Modeling Prep 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 2
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:...
ASYNCAPIFinancial Modeling Prep WebSocket API
Real-time market data streaming from Financial Modeling Prep. Authenticate with a login event carrying your API key, then subscribe to tickers or predefined market streams. Deri...
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 3
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.
Get Started 2
Portal, sign-up, and the first successful call
Documentation 3
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 5
Status, limits, changes, and where to get help
Commercial 5
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/financial-modeling-prep · machine-readable index on apis.io
This is an independent, third-party profile of Financial Modeling Prep, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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