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Pipeline Durations Analytics: Quality Audit + Deduplication + Category Frequencies
x402
Pipeline Durations Analytics: Quality Audit + Deduplication + 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 2026-10-16).
Runs three analytical reports on pipeline duration records — a record quality audit, exact row deduplication, and category frequency analysis — for up to 200 rows of run_seconds/processed_rows data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies for supplied pipeline durations records (run_seconds, processed_rows). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit flagging nulls, out-of-range values, and completeness issues in run_seconds and processed_rows; (2) an exact row deduplication report identifying and removing identical records; and (3) a category frequency table showing how often each dataset_group value appears across the supplied rows.
Example use cases
ETL pipeline health check
“I have a batch of 80 pipeline run records with run_seconds and processed_rows — can you audit them for data quality issues, remove any exact duplicates, and tell me how many runs each dataset group has?”
Duplicate pipeline log detection
“My pipeline logging system may have written duplicate entries — can you check these 120 records for exact row duplicates and also give me a quality report and category frequency breakdown by dataset_group?”
Daily pipeline run summary
“At the end of today's pipeline runs, I want to validate data quality, deduplicate the 45 records I've collected, and get a frequency count showing how often each dataset group ran — the records have run_seconds, processed_rows, and a date field in YYYY-MM-DD format.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-212?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined analytical reports — quality audit, deduplication, and category frequency — on pipeline duration data (run_seconds, processed_rows) in a single low-cost call. Ideal for data engineering teams that want to validate and summarize ETL pipeline logs without building their own analytical pipeline. Best for batches up to 200 rows where local computation (no external lookups) is sufficient.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) cause row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern fail schema validation
- Empty rows array returns an error (minItems: 1)
- Payment failure via x402 protocol prevents execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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