Install Jentic One Beta

Connect the Financial Datasets API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Financial Datasets API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Ffinancialdatasets.ai%2Ffinancial-datasets" | sh

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Ffinancialdatasets.ai%2Ffinancial-datasets" | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with Financial Datasets API.

Retrieve historical and real-time stock and crypto prices

Pull income statements, balance sheets, and cash flow statements

Get financial metrics, earnings snapshots, and analyst estimates

Read insider trades and institutional ownership holdings

Fetch SEC filings, filing items, and company facts

GET STARTED

Start building with Financial Datasets API

Explore with Jentic One

View OpenAPI Document

Use Cases

Patterns agents use Financial Datasets API for, with concrete tasks.

★ Agent Financial Research via Jentic

AI agents gather market data through Jentic without holding the API key in context. An agent searches by intent, receives the matching operation schema, and pulls prices, statements, or filings for a research task end to end. Jentic injects the key at execution time, so the agent never sees the secret while it assembles the data it needs.

Search Jentic for 'get a stock price from Financial Datasets', load the GET /prices schema, and fetch prices with Jentic-managed credentials

Automated Fundamental Analysis

An agent builds a fundamental picture of a company by pulling its income statements, balance sheets, and cash flow statements, then layering on financial metrics and analyst estimates. Because the API returns structured statements across many years, the agent can compute trends and ratios without scraping filings by hand.

Call GET /financials/income-statements and GET /financials/balance-sheets to assemble the fundamentals for a ticker

Filing and Insider Monitoring

An agent watches a set of companies by pulling their latest SEC filings and recent insider trades on a schedule, flagging anything notable. The API exposes filings and insider-trade endpoints directly, so the agent can surface disclosures without polling the SEC website itself.

Call GET /filings and GET /insider-trades for each watched company and flag new disclosures

Key Endpoints

37 endpoints — the financial datasets api gives ai agents structured stock market data covering thousands of tickers over decades.

METHOD

PATH

DESCRIPTION

GET

/prices

Get historical stock price data

GET

/financials/income-statements

Get income statements

GET

/financials/balance-sheets

Get balance sheets

GET

/insider-trades

Get insider trades

GET

/filings

Get SEC filings

GET

/news

Get news articles

GET

/earnings

Get an earnings snapshot

GET

/prices

Get historical stock price data

GET

/financials/income-statements

Get income statements

GET

/financials/balance-sheets

Get balance sheets

GET

/insider-trades

Get insider trades

GET

/filings

Get SEC filings

GET

/news

Get news articles

GET

/earnings

Get an earnings snapshot

Why Jentic?

What agents get from Jentic-routed access to this vendor.

Setup

Wiring the Financial Datasets API by hand means setting the X-API-KEY header, choosing among dozens of price, statement, and filing endpoints, and paging results yourself. Through Jentic you install once, import the Financial Datasets API from the API Directory, store the key, and your agent calls it.

Permission scoping

This API is read-only, and you choose which operations your agent may call, so a rule can allow price and financial-statement lookups while withholding insider-trade or ownership data. Scoping is by operation, so the agent reaches only the endpoints you approve.

Credential isolation

Your Financial Datasets API key is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.

Intent-based discovery

Agents search Jentic by intent such as 'get a stock price' or 'pull an income statement', and Jentic returns the matching Financial Datasets operation with its input schema so the agent calls the right endpoint without browsing the reference docs.

FAQs

Specific to using Financial Datasets API through Jentic.

What authentication does the Financial Datasets API use?

The Financial Datasets API authenticates its data operations with an API key sent in the `X-API-KEY` header, per its OpenAPI spec. A set of public reference endpoints that list available tickers, CIKs, and filing types need no key. Through Jentic, the key is stored encrypted by your own Jentic One instance and injected at call time, so it never enters the agent's prompt or logs.

Can I get financial statements with the Financial Datasets API?

Yes. Retrieve income statements with GET /financials/income-statements, balance sheets with GET /financials/balance-sheets, and historical prices with GET /prices.

What are the rate limits for the Financial Datasets API?

The OpenAPI spec does not specify rate limits; check the Financial Datasets documentation for current limits. Through Jentic, requests run from your own instance, so you control the pacing of the agent's calls.

How do I get a stock price with the Financial Datasets API through Jentic?

Search Jentic for 'get a stock price from Financial Datasets', load the returned GET /prices operation with its input schema, and your agent fetches the data with credentials injected at call time. To run it on your own infrastructure, install Jentic One from its GitHub repo.

Is there a Financial Datasets MCP server?

You don't need an MCP server to give your agent the Financial Datasets API. Jentic connects it directly from the API Directory: import it, store your key, and your agent calls it, discovering operations on demand instead of loading a separate server's tool definitions into its context.

Can I limit what my agent is allowed to do with the Financial Datasets API?

Yes. This API is read-only, and you choose which operations your agent may call, so you can grant price and filing lookups while withholding insider-trade or institutional-ownership data. The agent invokes only the endpoints on your allow list and nothing more.

Financial Datasets API

AI ReadinessAI-Aware (B)67/100

See full scorecard

Official vendor OpenAPI document · agent-readyFinanceBankingapiKey37 EndpointsREST

For Agents

Pull prices, financial statements, filings, insider trades, and macro data for public companies. Data operations authenticate with an X-API-KEY header.

Use for: I want the latest stock price for a ticker, Pull the income statement for a company, Check recent insider trades for a stock, Find the most recent SEC filings for a company

Not supported: Does not place trades or manage a portfolio. Use for market, fundamental, and filing data retrieval only.

The Financial Datasets API gives AI agents structured stock market data covering thousands of tickers over decades. Agents pull historical and real-time equity and crypto prices, income statements, balance sheets, and cash flow statements, plus financial metrics, earnings, and analyst estimates. They also read insider trades, institutional ownership, SEC filings, company facts, and macro series such as central-bank interest rates. A set of public reference endpoints lists the available tickers, CIKs, and filing types, while the data operations authenticate with an X-API-KEY header.

Jentic One on Github View OpenAPI Document

Show dimension breakdown

Foundational Compliance

Base layer of spec validity and structural soundness.

Grade: A+Signals: 4

96%

Lint Results

Aggregated quality score from linter diagnostics, weighted by severity.

100%

Resolution Completeness

Percentage of `$ref` references that resolve successfully.

100%

Specification Validity

Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).

75%

Structural Integrity

Structural correctness score based on schema issues using logarithmic dampening.

Developer Experience & Jentic Compatibility

Clarity, completeness, and ingestion readiness for developers and tooling.

Grade: B-Signals: 4

Example Density

How richly the API is illustrated with examples.

100%

Example Validity

Percentage of examples that conform to their schemas.

41%

Response Coverage

Percentage of operations with complete response definitions (success, client error, server error).

100%

Tooling Readiness

Health of API ingestion, bundling, and resolution within Jentic pipelines.

AI-Readiness & Agent Experience

Semantic breadth, depth, and agent comprehension for AI systems.

Grade: CSignals: 4

68%

Description Coverage

Coverage of descriptions across API elements.

Error Standardization

Coverage of RFC 9457 Problem Details for error responses.

100%

OperationId Quality

Coverage, uniqueness, and casing consistency of operationIds for AI inference.

50%

Summary Coverage

Coverage of summaries across operations/tags/info.

Agent Usability

Functional utility, complexity comfort, and AI orchestration readiness.

Grade: A+Signals: 1

94%

Complexity Comfort

Agent comfort level based on API operational and structural complexity.

Security

Trust, risk posture, and security compliance.

Grade: C-Signals: 1

50%

Authentication Strength

Average quality of security schemes based on authentication method strength (weakest link for OAuth2).

AI Discoverability

Findability, semantic richness, and reasoning readiness.

Grade: A-Signals: 1

74%

Descriptive Richness

Clarity and depth of descriptions across API elements.

Connect the Financial Datasets API to your agent

Capabilities

Start building with Financial Datasets API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs

Financial Datasets API

Jentic AI Readiness Score

Financial Datasets API

Foundational Compliance

Lint Results

Resolution Completeness

Specification Validity

Structural Integrity

Developer Experience & Jentic Compatibility

Example Density

Example Validity

Response Coverage

Tooling Readiness

AI-Readiness & Agent Experience

Description Coverage

Error Standardization

OperationId Quality

Summary Coverage

Agent Usability

Complexity Comfort

Security

Authentication Strength

AI Discoverability

Descriptive Richness