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Join Coverage Analytics: Exact Row Deduplication + Equal-Width Histogram
x402
Join Coverage Analytics: Exact Row Deduplication + Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Deduplicates rows and computes an equal-width histogram for join coverage data (matched_rows, source_rows) supplied by the caller — up to 200 rows, 2 reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Exact row deduplication + Equal-width histogram: Exact row deduplication + Equal-width histogram 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 analytical reports: (1) an exact row deduplication report identifying and removing duplicate rows from the supplied join coverage records, and (2) an equal-width histogram report bucketing the chosen field (matched_rows or source_rows) into the specified number of bins with frequency counts per bin — all computed locally on the supplied data with no external lookups.
Example use cases
ETL pipeline join quality audit
“I've got 50 join coverage records from our ETL run — each has a row_id, dataset_group, date, matched_rows, and source_rows. Can you deduplicate them and give me a 10-bin equal-width histogram on the matched_rows field so I can see the distribution?”
Data warehouse coverage spot-check
“Here are 20 join coverage rows from our warehouse reconciliation, some might be duplicates. Run exact deduplication and an equal-width histogram with 5 bins on source_rows so I can see where coverage gaps cluster.”
Multi-group dataset match-rate analysis
“I have join coverage data for two dataset groups over the past week — about 30 rows total. Deduplicate the records and produce a histogram across 8 equal-width bins on matched_rows so I can compare match-rate distributions between group-a and group-b.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-048?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 join coverage records (matched_rows and source_rows per row) and need both exact duplicate removal and a quick frequency histogram in a single paid call. It is ideal for lightweight, self-contained data quality checks on join coverage metrics without requiring a full analytics platform or live database connection. Prefer it over general-purpose analytics APIs when you want a deterministic, reproducible result on caller-supplied data with no external dependencies.
Side effects
- More than 200 rows supplied — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) on any row — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- bins value outside 1–30 range — validation error
- All rows are null for the selected field — histogram may be empty or degenerate
- Payment not received or insufficient USDC — 402 response blocking execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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