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Document Section Coverage — Duplicate Key Report + Keyed Dataset Comparison
x402
Document Section Coverage — Duplicate Key Report + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Analyzes document section coverage records to produce a duplicate key report and a keyed dataset comparison between two supplied datasets (up to 200 rows each).
Price / call$0.01
Success—
StatusUnknown
How this service works
Document section coverage — Duplicate key report + Keyed dataset comparison: Duplicate key report + Keyed dataset comparison for supplied document section coverage records (present_sections, required_sections). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent analytical reports: (1) a duplicate key report identifying rows with repeated keys (e.g. duplicate row_id or document_group/date combos) in the primary dataset, and (2) a keyed dataset comparison showing differences in present_sections and required_sections values between the primary and secondary datasets, matched by shared keys. No external lookups or predictions are made — all analysis is performed locally on the supplied data.
Example use cases
Audit compliance doc coverage records
“I need to check our compliance document coverage data for duplicate entries — here are two sets of records with row IDs, document groups, dates, present_sections, and required_sections. Run a duplicate key report on the main set and compare it against last month's dataset to show me what changed.”
Detect duplicate section tracking rows
“We track required vs present document sections per group daily. Can you take these 150 coverage rows and flag any duplicate row IDs or document_group/date combinations, then compare them against our baseline dataset to find discrepancies?”
Reconcile two document coverage exports
“I exported document section coverage data from two different systems — both have the same structure with row_id, document_group, date, present_sections, and required_sections. Please find any duplicate keys in the first export and compare the two exports row-by-row to identify where they disagree.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-01-069?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a duplicate key check and a side-by-side dataset comparison on document section coverage data in a single API call for up to 200 rows. It is ideal for document compliance workflows, coverage audits, or reconciliation tasks where you have two structured datasets with matching schemas and want two complementary analytical reports at low cost. Prefer alternatives if you need more than 200 rows, require live data lookup, predictive analytics, or need more than two report types in one call.
Side effects
- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the row limit and is rejected
- Missing required fields (row_id, document_group, date, present_sections, required_sections) cause schema validation failure
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Payment not included or incorrect USDC amount causes a 402 Payment Required response
- Null values in present_sections or required_sections may produce incomplete comparison results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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