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Join Coverage Analytics — Record Quality Audit, Exact Row Deduplication & Adjacent Row Changes
x402
Join Coverage Analytics — Record Quality Audit, 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 2026-10-19).
Runs three local analytical reports (record quality audit, exact row deduplication, adjacent row changes) on supplied join coverage data (matched_rows, source_rows) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Record quality audit + Exact row deduplication + Adjacent row changes: Record quality audit + Exact row deduplication + Adjacent row changes for supplied join coverage records (matched_rows, source_rows). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports for the supplied join coverage rows: (1) a record quality audit flagging missing, null, or out-of-range values; (2) an exact row deduplication report identifying duplicate records; and (3) an adjacent row changes report highlighting value differences between consecutive rows — all computed locally with no external lookups.
Example use cases
Data quality audit before pipeline merge
“I have a batch of join coverage records across two dataset groups and I want to audit their quality, find any exact duplicate rows, and see what changed between adjacent rows — can you run all three reports on my matched_rows field for these 50 records?”
Deduplication check on coverage snapshot
“Before I finalize my weekly coverage report, run an exact row deduplication check on my source_rows data across these 120 join coverage records spanning October — I need to know which rows are exact duplicates so I can clean them out.”
Detect adjacent changes in daily coverage metrics
“I'm tracking daily join coverage across group-a and group-b and want to see how matched_rows values shift from one day to the next — can you run the adjacent row changes report on my 30-row dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-217?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 join coverage records with matched_rows and source_rows fields and need three simultaneous analytical passes — quality audit, exact deduplication, and adjacent change detection — in a single low-cost call. It is ideal for pipeline validation steps, weekly coverage hygiene checks, or pre-merge data cleaning where no external lookup, live data, or predictive modeling is needed.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- matched_rows or source_rows values outside ±1,000,000,000,000 range rejected
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) cause schema validation error
- Invalid field enum value (not 'matched_rows' or 'source_rows') causes parameter error
- Payment of 0.01 USDC not settled — request blocked by x402 paywall
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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