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File Ingestion Record Quality Audit
x402
File Ingestion Record Quality Audit 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).
Performs a local descriptive analytics quality audit on up to 200 file ingestion records, reporting on parse errors and data completeness without enrichment or forecasting.
Price / call$0.01
Success—
StatusUnknown
How this service works
File ingestion - Record quality audit: Record quality audit 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 record quality audit report.
Output
A bounded record quality audit report with local descriptive analytics covering parse error rates, loaded bytes statistics, and data completeness metrics across up to 200 supplied file ingestion records. No external enrichment or forecasting is included.
Example use cases
Daily pipeline health check
“Audit the quality of yesterday's file ingestion batch — I have 50 records from sources group-a and group-b with dates, loaded bytes, and parse error counts. Tell me which records look problematic and give me a quality summary.”
Source comparison quality report
“I want to compare data quality across two ingestion sources. Here are 100 records split between source-alpha and source-beta from last week — can you run a quality audit and tell me which source has more parse errors and worse record completeness?”
Post-migration ingestion audit
“We just migrated our file ingestion pipeline and I need to verify record quality. Can you audit these 200 records from the new pipeline — each has a row ID, source name, date, bytes loaded, and parse error count — and give me a descriptive quality report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-file-ingestion-quality?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, affordable ($0.01 USDC) local descriptive quality audit on a batch of file ingestion records (up to 200) without requiring external data enrichment or predictive forecasting. Ideal for ETL pipeline health checks, post-migration validation, and source-level parse error analysis.
Side effects
- Empty rows array or missing required fields (row_id, source, date, loaded_bytes, parse_errors) returns validation error
- More than 200 records submitted exceeds maxItems limit and is rejected
- Malformed date strings not matching YYYY-MM-DD pattern cause schema validation failure
- Null values for loaded_bytes or parse_errors may affect completeness metrics
- Payment failure via x402 protocol blocks request processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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