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SEC Fundamentals API

standard_score

Industry-standard fundamental scores over all US public companies. name: piotroski (F-Score 0-9), altman_z (bankruptcy zones), beneish_m (earnings-manipulation flag), magic_formula (Greenblatt rank), accruals (Sloan earnings quality). Peer-reviewed; not investment advice. $0.15.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
zoneNo
limitNo
worstNo
min_scoreNo
min_revenueNo
flagged_onlyNo
exclude_foreignNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

B3/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions peer-reviewed and cost, but fails to disclose key behaviors like return format, pagination, or how parameters affect results. This is inadequate for a tool with 8 parameters.

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?

The description is short and front-loaded with the main purpose. However, the bullet-like listing of score names could be more concise or moved to the schema. Overall, it is efficient but with minor waste.

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

Completeness2/5

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

With 8 parameters and an output schema, the description should provide more context on how parameters interact and what results look like. It only covers the name parameter, leaving the tool's overall behavior under-specified.

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

Parameters1/5

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

Schema description coverage is 0%, so description must compensate. Only the 'name' parameter is explained by listing its options. The other 7 parameters (e.g., limit, zone, min_score) have no explanation at all, failing to add meaning beyond the schema.

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

Purpose5/5

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

The description clearly states it provides 'industry-standard fundamental scores' and lists specific score names (piotroski, altman_z, etc.), which identifies the resource and verb. It distinguishes from sibling tools which are other financial analysis tools.

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?

The description implies usage by listing available scores but does not explicitly state when to use this tool vs alternatives. No when-not or comparison with sibling tools is provided.

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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TDQS

A3.7/5.0
Disambiguation5/5

Each tool has a distinct purpose: quality scoring, valuation, raw facts, filings, financials, peer comparison, industry aggregates, insider activity, institutional ownership, market insights, screening, short pressure, and standard scores. No overlaps in functionality.

Naming Consistency5/5

All tools use consistent snake_case naming with descriptive prefixes (e.g., company_, buffett_, market_). The pattern is predictable and helps infer tool purpose.

Tool Count5/5

14 tools cover a broad range of SEC fundamentals without being overwhelming. Each tool serves a clear role, and the count is appropriate for a comprehensive financial data API.

Completeness4/5

Covers core areas: filings, financials, insider trades, institutional ownership, screening, scores, and market insights. Minor gaps (e.g., no direct analyst estimates or corporate events) but overall very well-scoped for the domain.

Resources