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File Ingestion – Adjacent Row Changes Analytics
x402
File Ingestion – Adjacent Row Changes Analytics is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Computes adjacent (period-over-period) row-level changes for file ingestion metrics (loaded bytes or parse errors) across up to 200 supplied dated records.
Price / call$0.01
Success—
StatusUnknown
How this service works
File ingestion - Adjacent row changes: Adjacent row changes for File ingestion. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded adjacent row changes report.
Output
A bounded descriptive analytics report showing row-to-row (adjacent period) changes for the selected numeric field (loaded_bytes or parse_errors) across the submitted ingestion records, including deltas between consecutive entries without enrichment or forecasting.
Example use cases
Pipeline byte-load drift detection
“I have daily file ingestion logs for the past week with row IDs, sources, dates, and loaded_bytes values — can you compute the adjacent row changes for loaded_bytes so I can see how much data volume shifted between each consecutive day?”
Parse error spike monitoring
“Here are 10 ingestion records from two source groups over the past two weeks — analyze the parse_errors field for adjacent row changes so I can identify which transition had the biggest jump in errors.”
Multi-source ingestion comparison
“I've got 50 ingestion records from group-a and group-b spanning October — run an adjacent row changes analysis on the loaded_bytes field so I can see the step-by-step deltas across all rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-file-ingestion-period-change?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, low-cost ($0.01) period-over-period delta report on sequential file ingestion rows without needing forecasts, enrichment, or aggregations — especially when you already have typed records with dates, source labels, loaded_bytes, and parse_errors ready to submit.
Side effects
- Empty or malformed rows array returns a validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- Field value not in enum ['loaded_bytes','parse_errors'] returns a validation error
- More than 200 rows submitted causes a request rejection
- Numeric values outside ±1,000,000,000,000 are rejected
- Payment of 0.01 USDC not included or invalid causes a 402 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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