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
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All datasets
SEC filing history
Filings Dataset
SEC filing history grouped by year, form, and ticker with count measures.
Extracted disclosure
Sections and Items Dataset
Filing section and item extracts grouped by year, form, and ticker.
Segment economics
Segmented Revenues Dataset
Segmented revenue data grouped by year and ticker with count and sum measures.
Institutional ownership
Ownership Dataset
Institutional and beneficial ownership filing history grouped by year, form, and ticker.
SEC enforcement
Enforcement Dataset
SEC enforcement action history grouped by year and source type.