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Numeric Precision Comparisons Analytics — Record Quality Audit, Exact Row Deduplication & Category Frequencies
x402
Numeric Precision Comparisons 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 2026-10-15).
Runs three local analytical reports (record quality audit, exact row deduplication, and category frequencies) on up to 200 rows of numeric source/transformed value pairs, all for $0.01 USDC.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies 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 malformed, null, or out-of-range values in the source_value and transformed_value fields; (2) an exact row deduplication report identifying fully matching duplicate rows; and (3) a category frequencies report counting record occurrences per dataset_group. All computed locally with no external lookups.
Example use cases
ETL pipeline transformation audit
“I've got 150 rows from my ETL pipeline with source and transformed numeric values — can you run the record quality audit, exact row deduplication, and category frequency reports on them so I can see if any rows are malformed, duplicated, or unevenly distributed across groups?”
Data migration deduplication check
“We migrated data from our old system and I suspect there are duplicate rows. Can you run the exact row deduplication report along with the record quality audit on these 80 records, each with a row_id, dataset_group, date, source_value, and transformed_value?”
Category distribution analysis for numeric groups
“I have numeric precision comparison records across four dataset groups and I need to see how many records fall into each category — can you run the category frequencies report plus the record quality audit on my 200 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-212?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need all three analytics (quality audit, deduplication, and category frequencies) on a small-to-medium dataset of numeric transformation records (up to 200 rows) in a single low-cost call. It is ideal for ETL validation, data migration checks, or transformation pipeline QA where no external data lookups or predictions are needed and you want deterministic, locally-computed results.
Side effects
- Empty or missing rows array returns a validation error
- Rows array exceeding 200 items is rejected at schema level
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- source_value or transformed_value outside ±1,000,000,000,000 is rejected
- row_id missing or empty string causes schema validation failure
- Payment not included or insufficient USDC results in 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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