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Transformation Throughput — Duplicate Key Report + Trailing Mean Series
x402
Transformation Throughput — Duplicate Key Report + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).
Analyzes transformation throughput records to produce a duplicate key report and a trailing mean (rolling average) series for processed_rows or duration_seconds fields, up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Duplicate key report + Trailing mean series: Duplicate key report + Trailing mean series for supplied transformation throughput records (processed_rows, duration_seconds). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent reports: (1) a duplicate key report listing any row_ids that appear more than once in the supplied data, and (2) a trailing (rolling) mean series for the selected field (processed_rows or duration_seconds) computed over the specified window size, covering up to 200 input rows.
Example use cases
ETL pipeline duplicate detection
“I have 120 rows of ETL transformation logs with row_id, dataset_group, date, processed_rows, and duration_seconds — can you scan them for any duplicate row_ids and also give me a trailing mean of processed_rows with a window of 10?”
Throughput trend smoothing for ops review
“We're doing a weekly ops review and I need a rolling average of duration_seconds across our transformation runs — here's the data for the last 200 jobs, please use a window of 7 and also flag any duplicate keys.”
Data quality audit before ingestion
“Before we ingest this batch, can you check these 80 transformation throughput records for duplicate row IDs and compute a 3-period trailing mean on processed_rows so I can spot any anomalies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-061?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured transformation throughput records and need both duplicate key detection and a rolling/trailing mean series computed together in a single paid call. It is ideal for lightweight, offline analytical tasks on up to 200 rows without needing external lookups, predictions, or stateful storage. It is not suitable for real-time streaming, datasets exceeding 200 rows, or analyses beyond duplicate detection and trailing means.
Side effects
- Fewer than 1 row supplied — returns validation error
- More than 200 rows submitted — rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Window size outside 2–200 range — rejected by schema
- Field value not in enum ['processed_rows','duration_seconds'] — validation error
- Missing required fields (row_id, date, etc.) in any row — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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