Agent Data API

sec_company

US public company data from SEC EDGAR by ticker, CIK or name: industry, exchange, address, fiscal year end, recent filings (10-K, 10-Q, 8-K) with links, and latest annual and quarterly revenue, net income, operating income, EPS, assets, liabilities, equity, cash and operating cash flow. Costs $0.005 USDC on Base via x402.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "company": "<company>"
    },
    "name": "sec_company"
  }
}

Input Schema

Name	Required	Description	Default
`company`	Yes	Ticker (AAPL), CIK or company name
`filings`	No	Recent filings to list, 1-40 (default 10)

Schema Changelog

Changes observed during successful MCP inspections.

AddedNov 5, 2026

TDQS

A3.7/5.0

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must carry behavioral disclosure, and it does disclose two important traits: the data source (SEC EDGAR) and the paid access model ($0.005 USDC on Base via x402), which is critical for an agent deciding whether to call it. It does not cover failure behavior (unknown ticker/CIK), rate limits, or freshness guarantees, keeping it below a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences: the first front-loads the resource and enumerates returned fields, the second front-loads the cost. It is dense but there is no filler; the returned-field list is long but earns its place given the absence of an output schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description compensates by listing the returned data (filings with links, income statement and balance sheet items) and the payment requirement. The main residual gap is error/empty-result behavior for an unrecognized company identifier.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so both parameters (company, filings) are already documented with type, pattern, and defaults. The description restates that company accepts ticker, CIK or name but adds no new syntax, format examples, or ambiguity resolution beyond the schema, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource — retrieving US public company data from SEC EDGAR by ticker, CIK or name — and enumerates exactly what comes back (industry, exchange, address, fiscal year end, filings, financials). It is specific enough that an agent can separate it from generic siblings like company_profile or company_enrich, though it never names those siblings explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied rather than stated: the mention of EDGAR filings and annual/quarterly financials signals this is the tool for fundamental SEC data. However, there is no explicit guidance on when to prefer it over company_profile, company_enrich, or company_jobs, and no exclusions or prerequisites beyond the payment note.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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