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File Ingestion Category Frequencies
x402
File Ingestion Category Frequencies 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 category frequency counts for file ingestion records, summarizing how often each source category appears across up to 200 supplied typed rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
File ingestion - Category frequencies: Category frequencies 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 category frequencies report.
Output
A bounded category frequencies report showing how many times each distinct source value appears across the supplied ingestion rows, providing a local descriptive summary with no enrichment or forecasting.
Example use cases
ETL source distribution audit
“I have about 150 file ingestion log entries from the past week with sources like 'vendor-api', 'sftp-drop', and 'manual-upload' — can you tally how many records came from each source category so I can see which pipeline is busiest?”
Parse error source identification
“Here are 80 ingestion records from today with row IDs, dates, source names, loaded bytes, and parse error counts — can you give me a frequency breakdown of each source so I know which ones are generating the most rows?”
Daily batch ingestion summary
“I've got a set of file ingestion rows from October with columns for source, date, loaded_bytes, and parse_errors — can you count how many times each source category shows up and give me a simple summary report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-file-ingestion-category-counts?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 file ingestion records and need a quick, local frequency count of source categories without any enrichment, forecasting, or external lookups — ideal for lightweight ETL auditing or pipeline monitoring at minimal cost.
Side effects
- Empty or missing rows array returns validation error
- More than 200 items in rows array exceeds maxItems limit
- Row missing required fields (row_id, source, date, loaded_bytes, parse_errors) causes schema rejection
- Date field not matching YYYY-MM-DD pattern causes validation failure
- row_id exceeding 80 characters or being empty string causes rejection
- Payment of 0.01 USDC not provided results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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