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Record Routing Analytics — Adjacent Row Changes + Base-100 Series
x402
Record Routing Analytics — Adjacent Row Changes + Base-100 Series 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 adjacent row changes and a Base-100 indexed series for accepted_records and rejected_records fields in record routing data, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Adjacent row changes + Base-100 series: Adjacent row changes + 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 for the supplied rows: (1) adjacent row changes showing period-over-period differences for the selected field (accepted_records or rejected_records), and (2) a Base-100 indexed series anchored at the specified base_index row, enabling relative comparison across all rows. No external lookups or predictions are performed; all computation is local.
Example use cases
Daily pipeline acceptance rate trend
“I have a week of record routing logs with daily accepted_records and rejected_records counts across two dataset groups. Can you compute the adjacent row changes and base-100 index series for accepted_records, starting from day 1 as the baseline?”
Rejected records spike detection
“Here are 50 rows of record routing data across multiple groups — can you run the adjacent row changes and base-100 series analysis on rejected_records, indexed from row 0, so I can see where rejections spiked relative to the start?”
Baseline comparison for routing audit
“I'm auditing our data routing process and have 120 rows of accepted and rejected record counts. Please compute the base-100 series and adjacent row changes for accepted_records using row 10 as the base index, so I can compare everything relative to that checkpoint.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-155?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular record routing data with accepted/rejected record counts and need both a row-over-row delta analysis and a base-indexed series in a single low-cost call. It is ideal for lightweight pipeline monitoring, data quality audits, and trend tracking without requiring external data sources or ML predictions. Best suited for batch sizes up to 200 rows where offline, deterministic computation suffices.
Side effects
- Fewer than 1 or more than 200 rows supplied — validation error
- Invalid date format (non-YYYY-MM-DD) — schema validation rejection
- base_index out of range (must be 0–199 and within actual row count)
- Missing required fields (row_id, date, accepted_records, rejected_records) — schema error
- Null values in numeric fields may affect change calculations
- Payment not completed — x402 payment required before response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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