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Numeric Precision Comparisons — Record Quality Audit + Exact Row Deduplication + Numeric Interval Filter
x402
Numeric Precision Comparisons — Record Quality Audit + Exact Row Deduplication + Numeric Interval Filter 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 on supplied numeric precision comparison rows: a record quality audit, exact row deduplication, and a numeric interval filter — all against user-supplied source_value/transformed_value data, no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter 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 reports returned in a single response: (1) a record quality audit flagging issues like nulls or malformed fields, (2) an exact row deduplication report identifying duplicate records, and (3) a numeric interval filter report listing rows where the chosen field (source_value or transformed_value) falls within the specified minimum-maximum range. All computation is performed locally on the supplied data with no external data access.
Example use cases
ETL pipeline numeric transformation audit
“I've got a batch of 150 ETL output rows with source_value and transformed_value columns — can you run a record quality audit and exact deduplication on them, and also filter rows where source_value is between 50 and 500? The rows are tagged with dataset_group and dates from 2026-10-01 onward.”
Duplicate detection in financial data
“I need to find exact duplicate rows in my financial dataset — it has about 80 records with row_id, date, dataset_group, source_value, and transformed_value. Also give me a quality audit and filter transformed_value between -1000 and 1000.”
Interval outlier filtering for sensor readings
“Can you filter my sensor reading rows to only those where source_value falls between 10 and 999, and also run a quality audit and deduplication pass? I have around 60 rows with row_id, date, dataset_group, source_value, and transformed_value ready to upload.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-214?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need all three operations — quality audit, deduplication, and interval filtering — bundled into a single call against your own supplied numeric data (up to 200 rows), with no need for external data enrichment, live lookups, or predictions. It is cost-effective at $0.01 USDC for the three-report bundle and is ideal for ETL validation, data cleaning pipelines, or pre-analysis data hygiene checks on source-versus-transformed numeric pairs.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, source_value, transformed_value, dataset_group) causes rejection
- Invalid date format (not YYYY-MM-DD) triggers a schema error
- Minimum value greater than maximum value may return an empty interval filter result
- Numeric values outside ±1,000,000,000,000 are rejected by schema constraints
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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