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File Ingestion Base-100 Index Series Analytics
x402
File Ingestion Base-100 Index Series Analytics is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Computes a base-100 indexed time series for file ingestion metrics (loaded bytes or parse errors) across up to 200 supplied records, returning local descriptive analytics with no enrichment or forecasting.
Price / call$0.01
Success—
StatusUnknown
How this service works
File ingestion - Base-100 series: Base-100 series 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 base-100 series report.
Output
Returns a bounded base-100 index series report for the selected numeric field (loaded_bytes or parse_errors) across the submitted rows, anchored to the specified base_index row. Includes local descriptive analytics such as index values per row, without any enrichment, external data, or forecasting.
Example use cases
ETL pipeline byte volume indexing
“I have daily loaded_bytes readings from two ingestion sources across October — can you index them to base 100 starting from the first row so I can compare relative growth over the month?”
Parse error trend baseline report
“Run a base-100 index on my parse_errors data across these 50 ingestion records, using row 0 as the baseline, so I can see how errors have scaled up or down relative to that starting point.”
Multi-source ingestion performance comparison
“I've got ingestion records from group-a and group-b with loaded_bytes and parse_errors — compute the base-100 index series for parse_errors starting from record index 5 so I can benchmark against that mid-series point.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-file-ingestion-index?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 typed file ingestion records and need a quick, self-contained base-100 normalization of either loaded_bytes or parse_errors without calling external enrichment or forecasting services. It is ideal for lightweight ETL monitoring, relative trend reporting, or benchmarking ingestion volume/quality against a chosen baseline row — all at a fixed $0.01 per call with no external dependencies.
Side effects
- Empty rows array or more than 200 rows returns a validation error
- base_index out of bounds (>=number of rows) causes an error
- Invalid date format (not YYYY-MM-DD) triggers a schema validation rejection
- Null values in the selected metric field may produce undefined index points
- Non-numeric loaded_bytes or parse_errors values fail schema validation
- Unrecognized field selector (not 'loaded_bytes' or 'parse_errors') returns an enum error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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