stocks.team

$9.99/moStarting price

0Popularity

About stocks.team

stocks.team provides a financial data layer that exposes point-in-time SEC filings as structured, machine-readable facts for AI agents. The service delivers issuer-specific financial statements from 10-K and 10-Q filings through both REST and Model Context Protocol (MCP) interfaces, including filing identifiers, source URLs, reporting periods, and acceptance timestamps. Responses include provenance metadata such as accession numbers and quality states, enabling downstream models to verify and cite original SEC documents. The platform supports deterministic calculations with explicit inputs and fails metrics closed when evidence is unavailable, reducing ambiguity in financial reporting. Coverage varies by issuer, filing type, and metric, with structured tool payloads designed to minimize context size and improve auditability. The API is positioned as a replacement for raw filing parsing and web scraping, offering measured edge delivery and point-in-time guardrails for backtesting and research workflows.

Key features

Point-in-time 10-K and 10-Q financial statements
Structured JSON responses with filing evidence
MCP server and REST API endpoints
Provenance tracking with SEC identifiers
Quality state indicators for metrics
Deterministic calculations with input exposure
Point-in-time guardrails for backtesting
Normalized financial facts and GAAP adjustments

Use cases

Supplying AI agents with verifiable financial data for research
Enabling structured financial analysis with source citations
Supporting backtesting workflows with point-in-time data

Pros

Provides structured SEC financial facts with provenance metadata
Supports both REST API and MCP server for AI agents
Exposes point-in-time financial statements with filing identifiers
Includes quality states and source coordinates for verification
Designed to reduce context size and improve auditability

Cons

Requires authenticated API key for data access
Beta status with limited public documentation
Coverage varies by issuer, filing, and metric

Frequently asked questions about stocks.team

What is stocks.team and what does it do?

stocks.team provides a financial data layer that delivers point-in-time SEC filings as structured, machine-readable facts for AI agents. It exposes issuer-specific financial statements from 10-K and 10-Q filings through both REST and Model Context Protocol (MCP) interfaces.

Who is stocks.team designed for?

The tool is designed for AI agents, researchers, and developers who require structured SEC financial data for workflows such as backtesting, financial analysis, and automated decision-making. It is particularly useful for those seeking to replace raw filing parsing or web scraping with a deterministic financial layer.

How does stocks.team ensure data accuracy and provenance?

stocks.team includes provenance metadata such as accession numbers, source URLs, reporting periods, and acceptance timestamps in its responses. This allows downstream models to verify and cite original SEC documents, reducing ambiguity in financial reporting.

What interfaces does stocks.team support?

The platform supports both REST and Model Context Protocol (MCP) interfaces, enabling integration with compatible AI agents, such as those in Claude or Cursor, as well as custom agent clients.

What are the limitations of stocks.team's coverage?

Coverage varies by issuer, filing type, and metric, and structured tool payloads are designed to minimize context size. Additionally, responses include explicit quality states and missing evidence fields to ensure transparency.

How do I get started with stocks.team?

To get started, create an API key in the dashboard and use it for authenticated REST and MCP data requests. The API key should be kept server-side, and the documented quota and provenance fields should be used on every request.