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Release Note Coverage — Exact Row Deduplication + Adjacent Row Changes
x402
Release Note Coverage — Exact Row Deduplication + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Performs exact row deduplication and adjacent row change analysis on release note coverage records (documented_changes, released_changes) for up to 200 rows, returning 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Release note coverage — Exact row deduplication + Adjacent row changes: Exact row deduplication + Adjacent row changes 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
Two independent analytical reports: (1) an exact row deduplication report identifying which rows are exact duplicates across all fields, and (2) an adjacent row changes report showing the delta between consecutive rows for the selected field (documented_changes or released_changes). Both reports cover up to 200 input rows and are computed locally without external lookups.
Example use cases
Auditing duplicate release entries
“I have a list of 80 release note coverage records with row IDs, document groups, dates, documented_changes, and released_changes values — can you find all exact duplicate rows and show me what changed between consecutive rows for the released_changes field?”
Tracking documentation drift over time
“Here are 120 rows of our release note coverage data. I want to see where documented_changes values repeat exactly across rows, and also how documented_changes shifts between adjacent rows so I can spot big jumps.”
Cleaning up changelog export before reporting
“We exported our changelog into about 60 rows with document groups, dates, documented_changes, and released_changes. Before we share the report, can you strip out any exact duplicate rows and flag where adjacent row changes are unusually large for documented_changes?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-15-046?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously deduplicate release note coverage records AND compute adjacent row change deltas in a single paid call, at $0.01 USDC for both reports on up to 200 rows. It is purpose-built for the documented_changes / released_changes schema and requires no external data sources, making it deterministic and fast. Prefer it over general-purpose analytics tools when working specifically with release note coverage tracking 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 failure
- Invalid date format (must be YYYY-MM-DD) causes schema rejection
- Numeric values outside allowed range (-1e12 to 1e12) cause validation error
- Empty rows array (minItems:1 not met) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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