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Record Routing String Normalisation + Base-100 Series Analytics
x402
Record Routing String Normalisation + Base-100 Series Analytics 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 string normalisation and base-100 index series for accepted_records and rejected_records fields across up to 200 supplied record routing rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — String normalisation + Base-100 series: String normalisation + Base-100 series 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: a string normalisation report and a base-100 index series, computed locally from the supplied record routing rows (accepted_records and rejected_records fields). No external data is fetched; all analysis is derived from the submitted dataset of up to 200 rows.
Example use cases
Daily routing acceptance trend indexing
“I have 30 days of record routing data across two dataset groups — can you normalise the accepted_records values and produce a base-100 series starting from day 0 so I can compare trends across groups?”
Rejection rate anomaly review
“Can you run the string normalisation and base-100 series report on my rejected_records field for this dataset — I have 50 rows with dates, row IDs, and dataset groups — so I can spot which rows spike relative to my baseline at index position 0?”
Multi-group routing quality batch report
“I want two analytical reports on my record routing batch: one for accepted_records and one for rejected_records across 120 rows from multiple dataset groups — can you normalise the data and give me a base-100 indexed series for each?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-030?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, local string normalisation and base-100 index series computation on record routing data (accepted_records and rejected_records) for up to 200 rows, without requiring any live lookup, prediction, or external data enrichment. Ideal for batch analytical reporting on routing quality metrics grouped by dataset_group and date.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, date, accepted_records, rejected_records) in any row — validation error
- date field does not match YYYY-MM-DD pattern — schema validation failure
- base_index value out of range (0–199) — invalid parameter
- field enum value not one of accepted_records or rejected_records — validation error
- Empty rows array — minItems constraint violated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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