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Release Note Coverage — Numeric Row Ordering + Keyed Dataset Comparison
x402
Release Note Coverage — Numeric Row Ordering + 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 2026-11-02).
Analyzes release note coverage records by sorting rows numerically and comparing two keyed datasets (documented_changes vs released_changes) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Release note coverage — Numeric row ordering + Keyed dataset comparison: Numeric row ordering + Keyed dataset comparison for supplied release note coverage records (documented_changes, released_changes). 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 numeric row ordering report listing all submitted rows ranked by the selected field (documented_changes or released_changes), and (2) a keyed dataset comparison report showing matches, mismatches, and gaps between the two supplied datasets identified by row_id and document_group. No external data is fetched; all analysis is performed locally on the supplied records.
Example use cases
Auditing release note completeness
“I have a spreadsheet of release entries for October 2026 with row IDs, document groups, dates, documented_changes counts, and released_changes counts. Can you sort all 80 rows by their documented_changes values and compare the documented vs released datasets by key to show me where coverage is missing?”
Validating changelog before a release
“Before we ship next week, I need to check whether every change we released is actually documented. I have two lists — documented changes and released changes — each with about 120 rows tagged by row_id and document_group. Please rank them numerically by released_changes and run a keyed comparison so I can spot any undocumented items.”
Cross-team release note reconciliation
“We have two teams submitting release note coverage data for group-a and group-b with dates from last quarter — about 150 rows total. Can you order the rows numerically by documented_changes and compare the two datasets key-by-key to produce a reconciliation report showing mismatches?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-15-123?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously (1) sort release note coverage rows by a numeric metric and (2) compare two keyed datasets (documented vs released changes) for coverage gap analysis — all in a single paid call for up to 200 rows. It is ideal for release audit workflows where both ordering and cross-dataset reconciliation are needed in one step, without requiring external lookups or live data.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, document_group, date, documented_changes, released_changes) cause validation errors
- Date values not matching YYYY-MM-DD pattern will fail schema validation
- row_id values longer than 80 characters will be rejected
- Null numeric values may affect ordering and comparison results if not handled by caller
- Empty rows array (minItems: 1 not met) will cause an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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