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Record Routing — String Normalisation + Adjacent Row Changes
x402
Record Routing — String Normalisation + Adjacent Row Changes 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).
Runs two analytical reports on record routing data: string normalisation and adjacent row change detection for accepted/rejected record counts across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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
Two analytical reports covering: (1) string normalisation of routing record fields, and (2) adjacent row change detection showing how accepted_records or rejected_records values shift between consecutive rows. Results are computed locally from the supplied data with no external lookups.
Example use cases
Routing pipeline quality check
“I've got four days of routing data across two dataset groups with accepted and rejected record counts — can you normalise the strings and show me how each row's accepted_records changed compared to the previous one?”
Rejection spike investigation
“Analyse my record routing dataset for adjacent row changes in rejected_records — I have 10 rows from 2026-11-01 to 2026-11-10 across group-a and group-b so I can see where rejection counts jumped.”
Multi-group routing trend review
“Run both the string normalisation and adjacent row change reports on my record routing data — I have 20 rows split across three dataset groups covering October, and I want to focus on the accepted_records field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-029?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and adjacent row change analysis on record routing data in a single low-cost call. It is ideal for data pipeline monitoring, ETL quality checks, and routing acceptance/rejection trend analysis on batches up to 200 rows. It does not perform live lookups or predictive modelling — use it for deterministic local computation on supplied tabular data.
Side effects
- Rows array is empty or exceeds 200 items — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema rejection
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Missing required fields (row_id, date, accepted_records, rejected_records) — validation error
- Invalid field enum value other than accepted_records or rejected_records — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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