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Data Pipeline Runs – Category Frequencies
x402
Data Pipeline Runs – 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 2026-10-19).
Computes category frequency counts for data pipeline runs across up to 200 records, returning a local descriptive analytics report with no enrichment or forecasting.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data pipeline runs - Category frequencies: Category frequencies for Data pipeline runs. 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 often each pipeline category (by pipeline name) appears across the supplied records, presented as a local descriptive analytics summary with no external enrichment or forecasting. Covers up to 200 input records.
Example use cases
Pipeline activity distribution audit
“I have 120 pipeline run records with row IDs, pipeline names, dates, and row counts — can you count how many times each pipeline appears so I can see which ones are running most frequently?”
Rejected rows by pipeline category
“Here are 80 data pipeline run logs with processed and rejected row counts. Can you give me a category frequency summary showing how each pipeline is distributed across the dataset?”
Daily run volume summary by pipeline
“I want to understand the distribution of runs across my pipelines for October. I have about 40 records with date, pipeline name, and row counts — can you tabulate the frequency of each pipeline category?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-pipeline-runs-category-counts?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 typed data pipeline run records and need a fast, local frequency count of pipeline categories — no external data enrichment, forecasting, or ML inference required. Ideal for lightweight descriptive analytics on batch pipeline logs where you just need to know how often each pipeline type appears.
Side effects
- Fewer than 1 row supplied — minimum 1 record required
- More than 200 rows supplied — maxItems limit exceeded
- Missing required fields (row_id, pipeline, date, processed_rows, rejected_rows) in any record
- Invalid date format — must match YYYY-MM-DD pattern
- Numeric values for processed_rows or rejected_rows outside allowed range
- Payment not included or insufficient — requires 0.01 USDC via x402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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