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File Ingestion Grouped Numeric Summary
x402
File Ingestion Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-20).
Computes grouped descriptive statistics (e.g. min, max, mean, count) for a chosen numeric field across up to 200 file ingestion records, segmented by source group.
Price / call$0.01
Success—
StatusUnknown
How this service works
File ingestion - Grouped numeric summary: Grouped numeric summary 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 grouped numeric summary report.
Output
Returns a grouped descriptive statistics report for the selected numeric field (loaded_bytes or parse_errors), with aggregates such as count, min, max, mean, and possibly sum computed per distinct source group — all derived locally from the supplied records without any external enrichment or forecasting.
Example use cases
Compare ingestion volume by source
“I have a batch of 150 file ingestion records from three different sources — alpha, beta, and gamma — can you group them and give me a descriptive summary of loaded_bytes per source so I can see which source is bringing in the most data?”
Audit parse error rates by group
“Here are 80 ingestion records from two pipeline sources. Can you compute a grouped numeric summary of the parse_errors field grouped by source so I can see which source has the worst error counts on average?”
Daily ingestion health report by source
“I've got ingestion logs from last week with source labels for each file load — about 200 records total. Can you run a grouped numeric summary on loaded_bytes by source group so I can build a quick health snapshot for each pipeline?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-file-ingestion-group-summary?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw file ingestion records with source labels and want fast, local grouped descriptive statistics on a numeric field without any external data enrichment, forecasting, or time-series analysis. It is ideal for ETL pipeline monitoring dashboards, ingestion health checks, and comparing load volumes or error rates across sources. Prefer this over time-series or trend endpoints when the goal is a static snapshot grouped by category rather than sequential change detection.
Side effects
- Empty rows array (minItems:1 violation) returns validation error
- More than 200 records supplied exceeds maxItems and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Unknown field value outside enum [loaded_bytes, parse_errors] rejected
- Null numeric values may be excluded or cause partial aggregation
- Missing required row fields (row_id, source, date) cause record-level errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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