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Record Routing Analytics: Adjacent Row Changes + Equal-Width Histogram
x402
Record Routing Analytics: Adjacent Row Changes + 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 2026-10-23).
Computes adjacent row change analysis and equal-width histogram reports for accepted_records and rejected_records fields in record routing datasets, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Adjacent row changes + Equal-width histogram: Adjacent row changes + Equal-width histogram 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 analytical reports for the specified field: (1) an adjacent row changes report showing the difference between each consecutive row's value, and (2) an equal-width histogram report showing frequency counts across the specified number of bins — both computed locally without external lookups or predictions.
Example use cases
Daily routing quality trend review
“I have 30 days of record routing data with accepted and rejected counts per day — can you run an adjacent row changes report and a 7-bin histogram on the accepted_records field so I can see where big spikes or drops happened?”
Rejection rate distribution for audit
“Analyze my rejected_records data from the past month of routing runs — give me adjacent row deltas and a 5-bin equal-width histogram so I can identify the distribution of rejection volumes for our compliance audit.”
Comparing routing outcomes across dataset groups
“Here's my routing dataset with group-a and group-b entries across 50 rows — run both the row-over-row change analysis and a 10-bin histogram on the rejected_records field so I can compare distribution patterns between the groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-156?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local statistical analysis of sequential record routing data — specifically adjacent row-over-row change detection and histogram distribution reporting — without requiring external data sources, predictions, or professional assessment. Ideal for data quality monitoring, audit reporting, and distribution analysis on small-to-medium routing datasets up to 200 rows.
Side effects
- More than 200 rows submitted — request rejected
- Invalid date format (must be YYYY-MM-DD)
- bins value outside 1–30 range
- Missing required fields (row_id, date, accepted_records, or rejected_records)
- Null values in the selected analysis field may affect computation
- Invalid field enum value (must be accepted_records or rejected_records)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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