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Record Routing Analytics: String Normalisation + Secondary-Measure Weighted Mean
x402
Record Routing Analytics: String Normalisation + Secondary-Measure 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 2026-11-03).
Performs string normalisation and secondary-measure weighted mean calculations on record routing data (accepted_records, rejected_records) for up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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 2 analytical reports covering (1) string normalisation of the specified field across the submitted rows and (2) a secondary-measure weighted mean calculation, both computed locally without external lookups. Reports are based solely on the supplied accepted_records and rejected_records data for up to 200 rows.
Example use cases
Daily routing quality review
“I have a week's worth of record routing logs — 7 rows, each with accepted and rejected record counts per dataset group. Can you run the string normalisation and weighted mean analysis on the rejected_records field and give me both analytical reports?”
Comparing two routing groups over time
“I've got 10 routing records split between group-a and group-b from October 2026. Run string normalisation plus secondary-measure weighted mean on the accepted_records field so I can compare how the two groups performed.”
Batch ETL pipeline acceptance audit
“Here are 50 rows from our ETL pipeline showing accepted and rejected record counts by date and dataset group. Please compute the weighted mean and normalised string report on accepted_records so I can audit the pipeline's routing effectiveness.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, local computation of string normalisation and weighted mean statistics on record routing data (accepted vs rejected counts) for up to 200 rows in a single call, and you want two bundled analytical reports for a fixed low cost. It is not a live lookup or predictive service — ideal for post-hoc batch analytics on routing pipeline outputs.
Side effects
- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, date, accepted_records, rejected_records) — 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
- Invalid field enum value (not 'accepted_records' or 'rejected_records') — error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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