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Record Routing — Numeric Interval Filter + Secondary-Measure Weighted Mean
x402
Record Routing — Numeric Interval Filter + Secondary-Measure Weighted Mean 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 by a numeric interval on a chosen field and computes a secondary-measure weighted mean, returning two analytical reports for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean 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: one showing rows from the supplied dataset that fall within the specified numeric interval on the chosen field, and one showing the secondary-measure weighted mean computed across those filtered rows. Up to 200 input rows are processed locally with no external lookups.
Example use cases
ETL pipeline rejection rate analysis
“I have 50 rows of daily record routing data with accepted_records and rejected_records columns — filter to rows where accepted_records is between 0 and 25 and tell me the weighted mean of rejected_records for that subset.”
Data quality audit for high-volume groups
“Run an interval filter on my record routing dataset keeping only rows where rejected_records is between 1 and 10, then compute the weighted mean of accepted_records across those filtered rows — here are the rows: row-1 group-a 2026-10-01 accepted=10 rejected=2, row-2 group-b 2026-10-02 accepted=40 rejected=8, row-3 group-a 2026-10-03 accepted=5 rejected=1.”
Routing performance band comparison
“For my routing records, filter to accepted_records between 15 and 30 and give me the weighted mean of rejected_records — rows are: row-1 group-a 2026-11-01 accepted=15 rejected=3, row-2 group-b 2026-11-02 accepted=22 rejected=5, row-3 group-a 2026-11-03 accepted=30 rejected=2, row-4 group-b 2026-11-04 accepted=10 rejected=1.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-132?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of record routing rows (up to 200) and need both an interval-based filter on either accepted_records or rejected_records AND a weighted mean of the complementary measure — delivered as two bundled reports for a flat $0.01 USDC. Prefer it over general-purpose analytics when your data is already structured in the accepted/rejected record routing schema and you need quick offline computation without external data enrichment or prediction.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, accepted_records, rejected_records) — validation error
- date field does not match YYYY-MM-DD pattern — schema validation failure
- minimum greater than maximum — may return empty filtered set with no error
- Null values in the primary filter field — those rows may be excluded from interval filter
- Payment of 0.01 USDC not processed — 402 response, no report generated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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