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Numeric Precision Comparisons — Record Quality Audit, String Normalisation & Duplicate Key Report
x402
Numeric Precision Comparisons — Record Quality Audit, 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).
Runs three local analytical reports (record quality audit, string normalisation, and duplicate key detection) on supplied numeric source-vs-transformed value pairs, up to 200 rows per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report for supplied numeric precision comparisons records (source_value, transformed_value). 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
Three independent analytical reports returned for the submitted rows: (1) a record quality audit flagging anomalies or issues in the numeric records, (2) a string normalisation report on value representations, and (3) a duplicate key report identifying repeated row_id or key combinations across the submitted dataset.
Example use cases
ETL pipeline precision validation
“I just ran my ETL job and ended up with 80 rows of source and transformed numeric values — can you audit them for record quality issues, check for string normalisation problems, and flag any duplicate row IDs or keys?”
Data warehouse QA before load
“Before I load this batch of 200 records into the warehouse, can you run a quality audit, string normalisation check, and duplicate key report on the source_value and transformed_value columns grouped by dataset_group and date?”
Investigating numeric drift in reporting
“I suspect my transformation logic is introducing numeric precision errors — can you compare these 60 source and transformed values across group-a and group-b and give me a record quality audit plus a duplicate key report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-192?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical reports (quality audit, string normalisation, duplicate detection) on a batch of numeric source-vs-transformed records without requiring any external data lookups, live predictions, or professional assessments. It is ideal for ETL validation, data pipeline QA, and pre-load data checks where all data is self-contained and up to 200 rows per call is sufficient.
Side effects
- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, dataset_group, date, source_value, transformed_value) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric values outside ±1,000,000,000,000 range — validation error
- Empty rows array — minimum item constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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