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Record Routing String Normalisation and Trailing Mean Series Analytics
x402
Record Routing String Normalisation and Trailing Mean 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 2026-10-24).
Computes string normalisation and trailing mean series analytics for accepted_records and rejected_records fields in record routing data, up to 200 rows, returning 2 reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — String normalisation + Trailing mean series: String normalisation + Trailing mean 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 analytical reports: (1) a string normalisation report for the specified record routing rows, and (2) a trailing mean series computed over the chosen field (accepted_records or rejected_records) with the given rolling window size, both derived locally from the supplied data without any external lookups.
Example use cases
Daily record ingestion quality monitoring
“I have a week of record routing logs with accepted and rejected counts per day across two dataset groups — can you run string normalisation and a trailing mean series with a window of 3 on the accepted_records field so I can see smoothed trends?”
Rejected record spike investigation
“My team noticed a spike in rejected_records last month — can you normalize the strings and compute a trailing mean series with a window of 5 on the rejected_records field for my 50-row routing dataset so we can spot the anomaly?”
Cross-group routing performance comparison
“I want to compare routing performance across my dataset groups — please run the string normalisation and trailing mean analytics with window 2 on accepted_records for my 120 rows of routing data covering groups alpha and beta.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-028?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and trailing mean series analytics on record routing data in a single low-cost call ($0.01 USDC), working entirely from supplied data up to 200 rows, with no need for external data lookups or predictions.
Side effects
- Fewer than 1 or more than 200 rows supplied — rejected with validation error
- Window size less than 2 or greater than 200 — rejected with schema error
- Missing required fields (row_id, date, accepted_records, rejected_records) — validation failure
- Malformed date strings not matching YYYY-MM-DD pattern — schema rejection
- Payment not completed — 402 response requiring USDC payment
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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