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Record Routing — String Normalisation + Two-Measure Correlation
x402
Record Routing — String Normalisation + Two-Measure Correlation 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).
Applies string normalisation and computes two-measure correlation analysis on record routing data (accepted_records, rejected_records) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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: (1) a string normalisation report processing the supplied record routing fields, and (2) a two-measure correlation report quantifying the relationship between accepted_records and rejected_records across the submitted rows (up to 200). No external lookups or live data are used; all analysis is performed on the supplied data locally.
Example use cases
Audit pipeline acceptance vs rejection correlation
“I want to understand how my record routing pipeline is performing — can you normalise the strings and run a two-measure correlation between accepted and rejected records for these 10 rows of daily routing data across my two dataset groups?”
Spot anomalies in record routing batches
“Here are 50 rows of record routing data with accepted_records and rejected_records per day and group — can you normalise the data and give me two correlation reports so I can see if rejection spikes are correlated with acceptance drops?”
Weekly data quality report for routing groups
“Can you take my 200 rows of weekly record routing data (accepted and rejected counts per group and date) and produce the string normalisation output plus the two-measure correlation report so I can include it in our data quality review?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of record routing data with accepted and rejected record counts and need both string normalisation and a two-measure correlation analysis in a single cheap call ($0.01 USDC). Prefer this over general-purpose analytics APIs when your data fits the accepted_records/rejected_records schema and you want pre-packaged dual-report output without setting up your own statistical pipeline.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, accepted_records, rejected_records) cause row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Null values in both accepted_records and rejected_records may reduce correlation report reliability
- Payment failure (x402) prevents endpoint execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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