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Pipeline Durations Analytics — Record Quality Audit, String Normalisation & Exact Row Deduplication
x402
Pipeline Durations Analytics — Record Quality Audit, String Normalisation & Exact Row Deduplication 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).
Runs three independent data-quality reports (quality audit, string normalisation, and exact deduplication) on up to 200 pipeline-duration records containing run_seconds and processed_rows fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication 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 for the supplied pipeline duration records: (1) a record quality audit highlighting issues such as nulls, out-of-range values, and malformed fields; (2) a string normalisation report identifying inconsistent or non-standard string values in fields like dataset_group and date; and (3) an exact row deduplication report listing duplicate records. No external lookups or predictions are made; all analysis runs locally on the supplied data.
Example use cases
ETL pipeline data quality audit
“I have 120 rows of pipeline run logs with columns row_id, dataset_group, date, run_seconds, and processed_rows — can you run a quality audit, string normalisation, and exact deduplication report on all of them so I can see what needs fixing?”
Removing duplicate pipeline timing rows
“Before I load my pipeline metrics into the warehouse, can you check these 80 records for exact duplicate rows and also flag any string normalisation issues in the dataset_group field?”
Validating processed_rows and run_seconds values
“I want to verify data integrity on these 35 pipeline duration records — please run the quality audit and deduplication reports to catch any nulls, out-of-range values, or repeated entries in my run_seconds and processed_rows columns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-191?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled data-quality reports (audit, string normalisation, and deduplication) specifically for pipeline duration datasets with run_seconds and processed_rows fields, all for a flat $0.01 USDC covering up to 200 rows. Prefer it over general-purpose data tools when your data is already in the required schema and you want fast, offline analytical results without any external API calls or predictions.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) causes a schema validation failure
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside the allowed min/max range (-1e12 to 1e12) cause input rejection
- Empty rows array (minItems: 1 not met) returns an error
- Payment of 0.01 USDC not included or rejected causes a 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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