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Record Routing Analytics — Two-Measure Correlation + Explicit Missing-Value Fill
x402
Record Routing Analytics — Two-Measure Correlation + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Computes Pearson/rank correlation between accepted_records and rejected_records, and fills missing values (zero/mean/median) in the specified field, for up to 200 record-routing rows in a single paid call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill 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 two-measure correlation report showing the statistical relationship (e.g. Pearson or rank correlation coefficient) between accepted_records and rejected_records across the supplied rows; and (2) a missing-value fill report showing which values in the target field were null and what values were substituted using the chosen method (zero, mean, or median). No external data is fetched; analysis is performed entirely on the supplied rows.
Example use cases
ETL pipeline quality correlation check
“I have 150 rows of daily record routing logs with accepted_records and rejected_records for two dataset groups across the past quarter — can you compute the correlation between those two measures and tell me how strongly they're related?”
Impute missing acceptance counts before reporting
“Some of my accepted_records values are null in this routing dataset — can you fill in the blanks using the mean of the existing values so I have a complete dataset to work with? Here are the 80 rows.”
Group-level routing analysis with gap-filling
“I'm analyzing record routing performance across group-a and group-b for October 2026 — can you run a two-measure correlation on accepted vs rejected records and also fill any missing rejected_records values with zero for the 60 rows I'm supplying?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-184?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost ($0.01) combined statistical report — correlation plus missing-value imputation — on record routing data (accepted vs rejected record counts) for up to 200 rows, without any external lookups or live predictions. Ideal for ETL pipeline QA, data quality audits, and pre-analysis gap-filling workflows where the data is already available locally.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — maxItems limit exceeded
- Invalid date format (must be YYYY-MM-DD)
- Invalid method enum value — must be zero, mean, or median
- Invalid field enum value — must be accepted_records or rejected_records
- All values in target field are null — mean/median imputation undefined
- Payment of 0.01 USDC not completed — x402 payment required
- row_id missing or empty — minLength 1 required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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