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Record Routing Analytics — Numeric Distribution & Date-by-Category Pivot
x402
Record Routing Analytics — Numeric Distribution & Date-by-Category Pivot 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).
Generates two analytical reports (numeric distribution and date-by-category pivot) for record routing data containing accepted and rejected record counts, using supplied data only.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Numeric distribution + Date by category pivot: Numeric distribution + Date by category pivot for supplied record routing records (accepted_records, rejected_records). 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 showing statistical spread (min, max, quantiles, mean, etc.) of the selected field (accepted_records or rejected_records), and (2) a date-by-category pivot table cross-tabulating values by date and dataset_group — all computed locally from the supplied rows without any external lookup.
Example use cases
ETL pipeline acceptance rate analysis
“I want to understand the distribution of accepted records across my data pipeline batches — here's my routing data with row IDs, dates, group names, and accepted/rejected counts for the past week. Run the numeric distribution and date-by-category pivot on accepted_records for me.”
Data quality rejection pattern review
“Can you analyze my rejected_records field across these dataset groups and dates? I want to see both where rejections cluster statistically and how they break down by group over time — here are 50 rows with row IDs, dates, group labels, and accept/reject counts.”
Multi-group routing outcome comparison
“I have routing records split between group-a and group-b over October, and I want a numeric distribution plus a date-pivot breakdown of the accepted_records to see if one group is outperforming the other — can you run those two reports on my 80 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-083?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of record routing data with accepted/rejected counts grouped by category and date, and you need both a distribution summary and a pivot breakdown in a single low-cost call ($0.01 USDC). Prefer this over general analytics tools when the data is already in the required schema format and you want fast, deterministic local computation with no external data dependencies.
Side effects
- Exceeding 200 row limit returns an error or truncation
- Missing required fields (row_id, date, accepted_records, rejected_records, dataset_group) cause validation failure
- Date values not matching YYYY-MM-DD pattern are rejected
- Null numeric values may reduce statistical accuracy in distribution report
- Invalid field enum value (anything other than accepted_records or rejected_records) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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