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Extracted disclosure

Sections and Items Dataset

Count the filing sections that are actually available to read.

Use section and item history to understand where extracted disclosure coverage exists before sending agents into long-form filing analysis.

Investor use cases

  • Check whether MD&A, risk factors, or item-level evidence exists for a period.
  • Scope semantic-search and extraction workflows.
  • Avoid asking agents to reason from unavailable sections.

Workflow

  • Query dataset `sections_items` through analytics.
  • Pair section counts with `/v1/sections/search` or filing section retrieval.

Provenance

  • Derived from section extraction and section-search surfaces.
  • Coverage is narrower than raw EDGAR filing existence.

Analytics query

Example

{"dataset":"sections_items","dimensions":["year","form"],"measures":["count"],"filters":{"form":"10-K"},"limit":20}

Limitations

  • Extraction coverage depends on filing format and parser support.
  • A count confirms available extracted records, not analytical relevance.

Related datasets

All datasets

Sections and Items Dataset

Start with the source record, then automate the workflow.

Get an API key for SEC filings, statements, ownership, dilution signals, factors, macro context, and investor intelligence.