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Join Coverage Analytics — Equal-Width Histogram & Weighted Mean
x402
Join Coverage Analytics — Equal-Width Histogram & Weighted Mean 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).
Computes an equal-width histogram and secondary-measure weighted mean for join coverage records (matched_rows, source_rows) supplied in the request body.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Equal-width histogram + Secondary-measure weighted mean: Equal-width histogram + Secondary-measure weighted mean 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 sharing local engines: (1) an equal-width histogram of the selected field (matched_rows or source_rows) across up to 200 supplied records, broken into 1–30 bins; and (2) a weighted mean of the secondary measure. Output includes bin edges, bin counts, and the computed weighted average.
Example use cases
Join quality distribution over time
“I have daily join coverage records for October — matched_rows and source_rows for two dataset groups — can you bucket matched_rows into 8 equal-width bins and give me a weighted mean using source_rows as weights?”
ETL pipeline coverage audit
“Here are 150 rows from our ETL pipeline join logs with matched_rows and source_rows per record. Analyze the source_rows field with 10 histogram bins and compute the weighted mean so I can see where coverage is concentrated.”
Dataset group coverage comparison
“I want to understand the spread of matched rows across my join coverage records for group-a — can you run a 5-bin equal-width histogram on matched_rows and give me the secondary weighted mean for those records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-172?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have join coverage tabular data (matched_rows, source_rows) already in hand and need fast, offline statistical summarization — specifically an equal-width histogram plus a weighted mean — without any external lookup or prediction. Best for data engineers auditing ETL join quality or analysts exploring row-match distributions across dataset groups. Not suitable for live data fetching, predictions, or analyses requiring more than 200 rows.
Side effects
- Missing required row fields (row_id, dataset_group, date, matched_rows, source_rows) cause validation errors
- More than 200 rows submitted — request rejected with max-items error
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- bins value outside 1–30 range causes rejection
- All null values for the selected field may produce undefined histogram or NaN mean
- Payment of 0.01 USDC not completed — 402 response returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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