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Join Coverage — Exact Row Deduplication + Grouped Numeric Summary
x402
Join Coverage — Exact Row Deduplication + 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 2026-10-23).
Deduplicates join coverage records and generates a grouped numeric summary report for matched_rows or source_rows metrics, processing up to 200 rows in two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Exact row deduplication + Grouped numeric summary: Exact row deduplication + 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 reports: (1) exact row deduplication results identifying and removing duplicate join coverage records, and (2) a grouped numeric summary aggregating the selected metric (matched_rows or source_rows) by dataset_group, providing per-group statistics such as counts, totals, and distributions — all computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline join audit
“I'm running a daily ETL job and have 150 join coverage records across groups 'orders' and 'customers' — can you deduplicate them and give me a grouped numeric summary of matched_rows so I can see per-group match counts?”
Data quality check across datasets
“I have join coverage logs for four dataset groups from the past week. Please deduplicate the rows and produce a grouped numeric summary on source_rows so I can spot which groups have the most duplicates or anomalies.”
Coverage regression comparison
“After our schema migration, I collected 80 join coverage records tagged by dataset_group. Can you deduplicate them and summarize matched_rows by group so I can compare coverage before and after the migration?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-040?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have join coverage records (with matched_rows and source_rows) that need both exact deduplication and a grouped numeric summary in a single call. Ideal for data engineers auditing ETL pipelines, validating join match rates per dataset group, or cleaning coverage logs before downstream analysis. Prefer this over general-purpose analytics tools when you want a lightweight, no-lookup local computation that returns two distinct reports at very low cost ($0.01 USDC).
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) cause validation errors
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Null numeric values for both matched_rows and source_rows may reduce summary accuracy
- row_id values exceeding 80 characters are rejected
- Submitting fewer than 1 row returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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