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Join Coverage Analytics — Numeric Distribution & Row Ordering
x402
Join Coverage Analytics — Numeric Distribution & Row Ordering 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).
Computes numeric distribution statistics and row ordering analysis for join coverage data (matched_rows, source_rows) across up to 200 supplied rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Numeric distribution + Numeric row ordering: Numeric distribution + Numeric row ordering 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 numeric distribution report summarizing the statistical spread (e.g. min, max, mean, percentiles, histogram buckets) of the selected field (matched_rows or source_rows) across all supplied rows, and (2) a numeric row ordering report ranking rows by the selected field value. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline join quality audit
“I have 50 rows of join coverage logs with matched_rows and source_rows for two dataset groups across October — can you run the numeric distribution and row ordering analysis on matched_rows so I can see how evenly my join results are spread and which rows rank highest?”
Dataset group comparison by source rows
“Run distribution and ordering analytics on my join coverage records using the source_rows field — I have 120 rows across three groups (group-a, group-b, group-c) with dates from 2025-01-01 to 2025-04-30, and I want to understand the numeric spread and ranking.”
Daily join coverage monitoring report
“I'm tracking daily join coverage for my data warehouse — analyze the numeric distribution and row ordering of matched_rows across my 30 rows of coverage data, one per day in group-prod from 2025-06-01 to 2025-06-30, so I can spot anomalies in match rates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-073?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-assembled join coverage records (matched_rows and source_rows per row) and need both distribution statistics and row-level ordering in a single call for up to 200 rows. It is ideal for data engineers auditing ETL join quality, monitoring match rates over time, or comparing coverage across dataset groups — without needing external data lookups or predictions. At $0.01 USDC for two reports, it is cost-effective for lightweight analytical summaries on supplied data.
Side effects
- Input array exceeds 200 rows — request rejected
- 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
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
- Empty rows array (minItems:1 not met) — request rejected
- Invalid field enum value (must be 'matched_rows' or 'source_rows') — error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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