Valuein
Discovery

Match Derived Figures

match_derived
Sample and above

Check whether figures a report STATES can be reproduced by the engine from the SEC facts the report cites. For each `{ token, ticker, fact_ids }` it tries every registered margin, growth, share-of, difference and ratio formula over those facts and compares the rendered result ...

Example Call

example_call.pypython
# Using the Valuein MCP server from Python (via MCP SDK)# Or call directly from Claude / Cursor after setup result = await client.call_tool(    "match_derived",    arguments={    "items": []})print(result)

Direct tool call:match_derived(...)

Inputs

ParameterTypeRequiredDescription
itemsarray
required
The figures to check, 1–50; one call per report, not one per figure.
as_of_datestringoptionalPoint-in-time cut (YYYY-MM-DD): a cited fact accepted after this date is not used.

Output Fields

resultssummary

Example Response

Illustrative
response.jsonjson
{  "results": null,  "summary": null}

Shape only — field names match the live schema; values are placeholders, not real filings. See MCP server for the structured response shape.

Notes

Available from the Sample plan and above.

Try this tool

Get tokenAll tools
CategoryDiscovery
PIT-safeNo
Min planSample
Inputs2 (1 required)

Plan Access

Sample (guest)
Available
Benchmark (token)
Available
Pro
Available
Institutional
Available

Related Tools

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Resources

Point-in-Time methodology →Parquet schema reference →Bulk Data API reference →Python SDK guide →

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