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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.

agent native

Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.

Kin Score

API Evangelist profiles Financial Modeling Prep the way a machine reads it — 20 machine-readable artifacts across 10 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 67.6/100 (strong), with a separate agent-readiness read of 82/100 (agent native). 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 Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 67.6/100 · strong
Contract Quality 18.6 / 25
Developer Ergonomics 12.2 / 20
Commercial Clarity 17.4 / 20
Operational Transparency 9.9 / 13
Governance 0.0 / 12
Discoverability 10.0 / 10
Regulatory · Securities & Market Data 9.8 / 15
Agent readiness — 82/100 · agent native
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 6 / 6
Agent Skills 5 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3

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 ·

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).

MCP Servers 1

Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.

Model Context Protocol servers that expose these APIs to AI agents.

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 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.

FinOps 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 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...

ASYNCAPI

Security 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.

Financial Modeling Prep Agentic Access

10 operations

10 operations · 0 acting

AGENTIC

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

Build 3

SDKs, sample code, and the tooling you integrate with

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