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Record Routing Analytics: Numeric Interval Filter + Keyed Dataset Comparison
x402
Record Routing Analytics: Numeric Interval Filter + Keyed Dataset Comparison 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).
Analyzes up to 200 record routing rows by applying a numeric interval filter and comparing accepted/rejected record counts across keyed dataset groups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + Keyed dataset comparison 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 for the supplied rows: (1) a numeric interval filter report identifying which rows and groups fall within or outside defined value ranges for the selected field (accepted_records or rejected_records), and (2) a keyed dataset comparison report highlighting differences between the primary dataset and the comparison 'other' dataset, keyed by row_id and dataset_group. No external data is fetched; all analysis is performed on the supplied data.
Example use cases
ETL pipeline rejection spike investigation
“I've got my ETL pipeline's record routing logs for October — two groups, group-a and group-b, across 4 days with accepted and rejected counts per row. Can you run a numeric interval filter on the rejected_records field and compare it against last month's baseline dataset so I can see where rejection rates jumped?”
Data quality audit across routing groups
“I need to audit our record routing for group-a and group-b — I have 150 rows with dates, accepted_records, and rejected_records. Run the interval filter and keyed dataset comparison on accepted_records so I can flag which groups are underperforming compared to our reference dataset.”
Before/after comparison of routing rule change
“We changed our routing rules last week and I want to compare the before and after datasets — both have up to 200 rows with accepted and rejected record counts by group and date. Can you run both the numeric interval filter and the keyed dataset comparison on the rejected_records field to see if things improved?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-134?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured record routing data with accepted and rejected record counts and need both a numeric interval filter analysis and a cross-dataset group comparison in a single call. It is ideal for ETL monitoring, data quality audits, and before/after pipeline change analysis where you supply all data locally and need two distinct analytical reports without external lookups or predictions.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Missing required fields (row_id, dataset_group, date, accepted_records, rejected_records) — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejected
- Invalid field selector (must be 'accepted_records' or 'rejected_records') — enum validation error
- Payment of 0.01 USDC not completed — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| maximum | number | |
| minimum | number |
Tags
x402
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