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Record Routing Numeric Row Ordering and Base-100 Series Analytics
x402
Record Routing Numeric Row Ordering and Base-100 Series Analytics 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 numeric row ordering and base-100 index series for accepted_records and rejected_records fields across up to 200 rows of record routing data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 series 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 numeric row ordering ranking each submitted row by the selected field (accepted_records or rejected_records), and (2) a base-100 index series normalizing the field values relative to a configurable base index row. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline acceptance rate ranking
“I have daily ETL run data across two pipeline groups from last week — 7 rows total with accepted_records and rejected_records per day. Can you rank those rows by accepted_records and give me a base-100 index series starting at 0 so I can see which days performed best relative to the others?”
Data quality rejected records trend
“Here are 15 rows of record routing logs with dates, group names, and rejected_records counts. Can you compute numeric row ordering plus a base-100 index series on the rejected_records field starting from base index 0, so I can spot which groups are rejecting the most records?”
Multi-group ingestion comparison
“I've got 50 rows of record routing data across 5 dataset groups covering the past two months, each with accepted and rejected record counts. Run the row ordering and base-100 series on the accepted_records field starting at base index 0 — I want to compare ingestion performance across groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-117?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular record routing data (up to 200 rows) with accepted and rejected record counts and need both a numeric row ranking and a base-100 index series computed from your own supplied data — no external data fetching, no ML predictions, just deterministic analytical computation on data you provide. Ideal for ETL monitoring dashboards, data quality reporting, and pipeline performance comparisons where you want normalized index scores alongside raw rank ordering.
Side effects
- More than 200 rows submitted — request will fail or be truncated at max item limit
- Missing required fields (row_id, date, dataset_group, accepted_records, rejected_records) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- base_index value out of range 0–199 causes an error
- All null values in the selected field may produce undefined ranking or indexing output
- Payment of 0.01 USDC not completed — request rejected by x402 payment layer
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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