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File Ingestion Numeric Row Ordering
x402
File Ingestion 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 2026-10-19).
Sorts up to 200 file ingestion records by a chosen numeric field (loaded_bytes or parse_errors) and returns a descriptive analytics report.
Price / call$0.01
Success—
StatusUnknown
How this service works
File ingestion - Numeric row ordering: Numeric row ordering 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 numeric row ordering report.
Output
A bounded descriptive analytics report listing the supplied file ingestion records ordered numerically by the chosen field (loaded_bytes or parse_errors), covering up to 200 rows. No enrichment, forecasting, or external data is included — purely local row ordering based on the submitted data.
Example use cases
Identify highest-error ingestion sources
“I have 50 file ingestion rows from last week — can you rank them by parse_errors so I can see which sources are causing the most problems? Here are the rows with their row IDs, sources, dates, loaded bytes, and error counts.”
Prioritize large file loads for review
“Sort these 30 ingestion records by loaded_bytes so I know which files transferred the most data — I want the heaviest loads at the top so my team can review them first.”
Debug a failing ingestion pipeline
“My ingestion pipeline ran overnight and I need to rank these 80 rows by parse_errors to find the worst offenders — can you order them numerically from highest to lowest errors?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-file-ingestion-sort?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, cheap ($0.01 USDC) numeric sort of up to 200 file ingestion records by either loaded_bytes or parse_errors, with no need for forecasting or external enrichment. Ideal for lightweight ETL monitoring, pipeline debugging, or data quality triage directly from ingestion logs.
Side effects
- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the maxItems limit
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Missing required fields (row_id, source, date, loaded_bytes, parse_errors) causes request failure
- Invalid field enum value (anything other than loaded_bytes or parse_errors) rejected
- Null numeric values may affect sort ordering behavior
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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