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Pipeline Durations Analytics — Quality Audit + Deduplication + Trailing Mean
x402
Pipeline Durations Analytics — Quality Audit + Deduplication + Trailing Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Runs three local analytical reports on pipeline duration records: record quality audit, exact row deduplication, and trailing mean time series for run_seconds or processed_rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series 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 reports: (1) a record quality audit flagging missing, null, or out-of-range values; (2) an exact row deduplication report identifying duplicate records; and (3) a trailing mean time series computed over the specified window for the chosen numeric field (run_seconds or processed_rows). All analysis is performed locally on the supplied data with no external lookups.
Example use cases
ETL pipeline data quality check
“I have 50 pipeline run records with dates, run_seconds, and processed_rows. Can you audit them for data quality issues, flag any exact duplicate rows, and compute a trailing mean over a window of 5 for run_seconds?”
Rolling average for pipeline performance monitoring
“Here are 120 pipeline duration logs across two dataset groups. Please compute a trailing mean series with a window of 7 on the processed_rows field and also run the quality audit and deduplication checks.”
Deduplication before dashboard ingestion
“Before I load these 80 pipeline execution records into our dashboard, can you check for exact duplicate rows, run a quality audit to catch nulls or bad values, and give me a trailing mean of run_seconds with a window of 4?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-216?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have up to 200 pipeline duration records and need all three of a quality audit, exact deduplication, and rolling mean computation in a single cheap call ($0.01 USDC). Prefer this over separate analytics tools when working with ETL/pipeline timing data (run_seconds, processed_rows) and want bundled local analysis without external data lookups or predictions.
Side effects
- Fewer than 1 row supplied — minimum item count not met
- More than 200 rows supplied — exceeds maxItems limit
- Missing required fields (row_id, date, dataset_group, run_seconds, processed_rows) on any row
- Date field does not match YYYY-MM-DD pattern — validation error
- Window size smaller than 2 or larger than 200 — rejected by schema
- Payment of 0.01 USDC not provided — 402 payment required response
- Invalid field enum value (must be run_seconds or processed_rows)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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