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Record Routing Analytics — Category Frequencies & Numeric Row Ordering
x402
Record Routing Analytics — Category Frequencies & Numeric Row Ordering 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 category frequency counts and numeric row ordering for accepted_records and rejected_records fields across up to 200 supplied record routing rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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 category frequency table showing how often each dataset_group value appears in the submitted rows, and (2) a numeric ordering of rows ranked by the selected field (accepted_records or rejected_records). Both reports are derived entirely from the supplied data — no external lookups or predictions are made.
Example use cases
ETL pipeline quality audit
“Here's my ETL routing log for last week — 50 rows with dataset_group, date, accepted_records, and rejected_records. Can you run category frequency and numeric ordering reports on the accepted_records field so I can see which groups are processing the most and least data?”
Rejected records hotspot detection
“I want to find which dataset groups are racking up the most rejections in my pipeline. Run category frequencies and numeric row ordering on these 120 routing records using the rejected_records field — I'll paste the rows now.”
Daily routing batch ranking
“I've got 30 days of record routing data with accepted and rejected counts per group per day. Give me a frequency breakdown by dataset_group and rank the rows numerically by accepted_records so I can spot the highest-volume days.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-100?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, offline analytical summaries — specifically category frequency counts and numeric row ordering — for record routing data containing accepted/rejected counts. It covers two report types in a single $0.01 USDC call for up to 200 rows, making it cost-effective for lightweight ETL audits and data quality checks where no external lookup or prediction is needed.
Side effects
- Empty rows array — rejected, minItems is 1
- More than 200 rows submitted — rejected, maxItems is 200
- Missing required fields (row_id, dataset_group, date, accepted_records, rejected_records) — validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Invalid field enum value (must be accepted_records or rejected_records) — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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