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Join Coverage Duplicate Key Report and Grouped Numeric Summary
x402
Join Coverage Duplicate Key Report and Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Generates two local analytical reports — a duplicate key report and a grouped numeric summary — for supplied join coverage records with matched_rows and source_rows fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Duplicate key report + Grouped numeric summary: Duplicate key report + Grouped numeric summary for supplied join coverage records (matched_rows, source_rows). 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 listing any row_ids that appear more than once across the supplied records, and (2) a grouped numeric summary of the selected field (matched_rows or source_rows) aggregated by dataset_group — including statistics such as counts, sums, and averages per group. No external lookups or predictions are made; all computation is performed locally on the supplied data.
Example use cases
Detect duplicate keys in join output
“I have a list of join coverage records and I want to know if any row IDs are duplicated — can you run a duplicate key report on these rows: row-1 group-a 2026-10-01 matched=10 source=1, row-2 group-b 2026-10-02 matched=20 source=2, row-1 group-a 2026-10-03 matched=15 source=3?”
Group and summarize source rows by dataset
“Can you give me a grouped numeric summary of source_rows broken down by dataset_group for these join coverage records: row-1 group-a 2026-10-01 matched=10 source=1, row-2 group-b 2026-10-02 matched=20 source=2, row-3 group-a 2026-10-03 matched=15 source=3, row-4 group-b 2026-10-04 matched=30 source=4?”
Audit join pipeline for data quality
“Run both a duplicate key check and a grouped summary of matched_rows on my join pipeline coverage data — I have 6 rows across two groups, group-a and group-b, spanning dates from 2026-10-01 to 2026-10-06, with matched_rows ranging from 5 to 40 and source_rows from 1 to 6.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-056?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have up to 200 join coverage records with matched_rows and source_rows values and need both a duplicate key check and a grouped numeric breakdown in a single low-cost call. It is best suited for data quality audits of join pipeline outputs where you want to catch repeated row IDs and understand per-group distribution of coverage metrics. Prefer it over general-purpose analytics tools when you want a lightweight, offline analytical pass on structured join data without external dependencies.
Side effects
- Input array is empty or missing — minItems:1 not satisfied
- More than 200 rows supplied — maxItems:200 exceeded
- Row missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- row_id longer than 80 characters — maxLength exceeded
- numeric values outside allowed range (-1e12 to 1e12) — schema error
- Payment not provided or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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