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Transformation Throughput — String Normalisation + Duplicate Key Report
x402
Transformation Throughput — String Normalisation + Duplicate Key Report 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).
Normalises strings and generates a duplicate key report for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — String normalisation + Duplicate key report: String normalisation + Duplicate key report 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 analytical reports: (1) a string normalisation report showing cleaned/standardised string field values across the supplied rows, and (2) a duplicate key report identifying any row_id or key fields that appear more than once — all computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline duplicate key audit
“I have 50 rows of transformation throughput logs with row IDs, dataset groups, dates, processed_rows counts and duration_seconds — can you normalise the string fields and tell me which row keys appear more than once?”
Data quality check before warehouse load
“Before I load my pipeline metrics into the warehouse, can you clean up the string fields and produce a duplicate key report for these 120 transformation throughput records? Each row has a row_id, dataset_group, date, processed_rows and duration_seconds.”
Multi-group throughput string normalisation
“My team has been entering dataset_group names inconsistently across 80 rows of transformation throughput data. Can you normalise those strings and also flag any duplicate row IDs so I know which ones to fix?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-021?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and duplicate key detection on transformation throughput records (processed_rows, duration_seconds) in a single low-cost call. It is ideal for data engineering pipelines, ETL audit workflows, or pre-load data quality checks where you want two reports for the price of one call on up to 200 rows, without needing live lookups or external enrichment.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) causes a schema rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- Submitting zero rows (minItems: 1 violated) returns an error
- Extremely large numeric values outside ±1,000,000,000,000 are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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