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Join Coverage Analytics — Equal-Width Histogram + Keyed Dataset Comparison
x402
Join Coverage Analytics — Equal-Width Histogram + Keyed Dataset Comparison 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).
Computes an equal-width histogram and performs a keyed dataset comparison on two supplied sets of join coverage records (matched_rows, source_rows) — up to 200 rows each, fully local, no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Equal-width histogram + Keyed dataset comparison: Equal-width histogram + Keyed dataset comparison 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
Two analytical reports: (1) an equal-width histogram partitioning the chosen field (matched_rows or source_rows) into up to 30 bins with frequency counts and bin boundaries, and (2) a keyed dataset comparison pairing rows by row_id across the two supplied datasets, highlighting value differences. Both reports are produced locally from the supplied data with no external calls.
Example use cases
ETL join coverage drift detection
“I ran the same join pipeline last week and this week and I want to compare the matched_rows counts by row_id across both runs — can you build a keyed comparison and histogram with 8 bins so I can see where coverage dropped?”
Distribution audit for source row counts
“Here are 120 join coverage records with source_rows values across several dataset groups — can you bucket them into 15 equal-width bins so I can see the distribution and spot any unusual spikes?”
Multi-group join quality review
“I have two datasets of about 80 join coverage records each, grouped by dataset_group and dated daily — please compare them by row_id and show me a histogram of matched_rows with 5 bins so I can tell which groups degraded.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-174?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a distributional summary (histogram) and a record-level keyed diff of join coverage metrics in a single $0.01 call, with no need for external data enrichment or live lookups. Prefer it over generic statistics tools when your data is already structured as join coverage records with matched_rows and source_rows fields and you want two independent analytical views in one request.
Side effects
- Rows array empty or exceeds 200 items — validation error
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) on any row — schema rejection
- Invalid date format (must be YYYY-MM-DD) — pattern mismatch error
- Bins value outside 1–30 range — validation error
- Null values in the selected field may affect histogram bin calculation
- Mismatched row_ids between primary and comparison dataset produce unmatched comparison rows
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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