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Record Routing — Numeric Interval Filter + Explicit Missing-Value Fill
x402
Record Routing — Numeric Interval Filter + 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).
Filters record routing rows (accepted_records, rejected_records) to a numeric interval and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + 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
Two analytical reports covering the filtered and imputed dataset: one for the interval-filtered view (rows where the selected field falls within [minimum, maximum]) and one for the missing-value-filled view (nulls replaced by zero, mean, or median). Reports include processed row data up to 200 rows with no external lookups or predictions.
Example use cases
ETL pipeline data quality gate
“I have a batch of 150 record routing rows with some nulls and out-of-range values in accepted_records — filter it to keep only values between 0 and 500, fill the blanks using the mean, and give me the two cleaned reports.”
Rejected records anomaly cleanup
“My rejected_records column has a bunch of missing entries and some crazy outliers. Can you filter the field to values between 0 and 50, impute the missing ones with zero, and run the two reports on the cleaned data?”
Daily routing audit with median imputation
“Run a daily audit on my record routing data — I've got entries from 2026-10-01 through 2026-10-04 across group-a and group-b. Filter accepted_records between 5 and 30 and fill any missing values using the median, then give me both reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-135?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously apply a numeric range filter AND handle missing values on record routing data (accepted_records or rejected_records) in a single paid call, getting two independent reports. It is purpose-built for record routing schemas with those exact field names, making it more appropriate than a generic data cleaning service when your data matches the routing dataset shape.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, date, accepted_records, rejected_records) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Minimum greater than maximum — logical filter error resulting in empty output
- Invalid method enum value (not zero/mean/median) — validation error
- Invalid field enum value (not accepted_records/rejected_records) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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