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Transformation Throughput Analytics: Record Quality Audit + Exact Row Deduplication + Category Frequencies
x402
Transformation Throughput Analytics: Record Quality Audit + Exact Row 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 2026-10-28).
Runs three local analytical reports — record quality audit, exact row deduplication, and category frequency analysis — on up to 200 transformation throughput records containing processed_rows and duration_seconds fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies for supplied transformation throughput records (processed_rows, duration_seconds). 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 highlighting missing, null, or out-of-range values across the submitted rows; (2) an exact row deduplication report identifying fully duplicate records; and (3) a category frequency summary showing how often each dataset_group value appears across the submitted rows.
Example use cases
ETL pipeline data quality check
“I have 120 rows of transformation throughput logs with columns row_id, dataset_group, date, processed_rows, and duration_seconds — can you run a record quality audit on them to flag any nulls or bad values, deduplicate exact duplicate rows, and show me how frequently each dataset_group appears?”
Dataset group frequency breakdown
“I want to understand how my pipeline workload is distributed across dataset groups. Here are 80 throughput records with row_id, dataset_group, date, processed_rows, and duration_seconds — give me a category frequency report plus flag any duplicate rows and quality issues.”
Deduplicating transformation run logs
“We suspect our transformation run logs have duplicate entries that are inflating our metrics. Can you take these 60 rows of throughput data (each with row_id, dataset_group, date, processed_rows, duration_seconds) and identify exact duplicate rows, report on record quality, and give us the frequency counts per category?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-212?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined analytical reports (quality audit, deduplication, category frequencies) on transformation throughput data in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where you want offline, local analysis with no external lookups or predictions — particularly suited to ETL pipeline monitoring and data engineering workflows where processed_rows and duration_seconds are your core metrics.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) causes rejection
- Invalid date format (not YYYY-MM-DD) triggers a schema validation error
- Submitting an empty rows array (minItems: 1) returns an error
- Payment failure via x402 protocol prevents report generation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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