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Numeric Precision Comparisons — Record Quality Audit + Exact Row Deduplication + Numeric Distribution
x402
Numeric Precision Comparisons — Record Quality Audit + Exact Row Deduplication + Numeric Distribution 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 independent analytical reports (record quality audit, exact row deduplication, and numeric distribution) on supplied source_value/transformed_value numeric comparison data for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution 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
Returns three independent analytical reports: (1) a record quality audit flagging nulls, missing values, and anomalies across the supplied rows; (2) an exact row deduplication report identifying fully duplicate records; (3) a numeric distribution summary (min, max, mean, percentiles, etc.) for the selected field (source_value or transformed_value). All computed locally with no external lookups.
Example use cases
ETL pipeline output validation
“I just ran a numeric ETL pipeline and have 120 rows with source_value and transformed_value fields. Can you run the record quality audit, deduplication check, and distribution summary on the source_value column so I can see if the transformation introduced any issues?”
Duplicate transaction record detection
“We have 80 financial transaction rows with original and adjusted amounts — please check them for exact duplicate rows and also give me the numeric distribution of the transformed_value column alongside a quality audit.”
Data reconciliation spot-check
“Here are 35 rows from our reconciliation table with dataset_group 'Q3-sales', each with a source_value and transformed_value. Run all three reports — quality audit, deduplication, and distribution — on the source_value field so we can sign off on this batch.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-210?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled three-in-one local analytics pass (quality audit + deduplication + distribution) on a small-to-medium numeric comparison dataset (up to 200 rows) with source and transformed value pairs. It is ideal for ETL validation, data reconciliation spot-checks, and pipeline QA where no external data lookup or prediction is needed and cost efficiency (one $0.01 call for all three reports) matters.
Side effects
- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds max batch size
- Invalid date format (not YYYY-MM-DD) — schema validation error
- source_value or transformed_value outside ±1,000,000,000,000 — rejected
- Missing required fields (row_id, dataset_group, date) — validation failure
- Invalid field enum value (not 'source_value' or 'transformed_value') — error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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