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Numeric Precision Comparisons — Record Quality Audit + Exact Row Deduplication + Equal-Width Histogram
x402
Numeric Precision Comparisons — Record Quality Audit + Exact Row Deduplication + Equal-Width Histogram 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 equal-width histogram) on up to 200 rows of numeric source/transformed value pairs for data quality and distribution analysis.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram 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 null, missing, or out-of-range values per row; (2) an exact row deduplication report identifying which rows are identical; and (3) an equal-width histogram of the selected numeric field (source_value or transformed_value) divided into the specified number of bins (1–30, default 5). All computed locally with no external lookups.
Example use cases
ETL pipeline data quality audit
“I have 150 rows from my ETL pipeline with source_value and transformed_value columns — can you run a record quality audit, deduplication check, and a 10-bin histogram on the source_value field so I can see if there are any bad records or duplicates?”
Numeric distribution profiling
“Can you generate an equal-width histogram with 8 bins for the transformed_value field across my 80 numeric comparison records, along with a quality audit and duplicate scan, so I can understand the distribution of my transformed data?”
Data transformation validation
“I need to validate my data transformation results — here are 200 rows each with a row_id, group label, date, source_value and transformed_value. Please run the quality audit, find any exact duplicate rows, and show me a 5-bin histogram on source_value.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-219?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled data quality reports — quality audit, deduplication, and histogram — on a batch of up to 200 numeric source/transformed value records for a flat fee of $0.01 USDC. It is ideal for ETL validation, data profiling, and transformation QA workflows where you want local, offline computation with no external API calls, predictions, or professional assessments.
Side effects
- Exceeding 200 rows causes a validation error
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Numeric values outside ±1,000,000,000,000 are rejected
- Missing required fields (row_id, dataset_group, date) cause validation failure
- Bins parameter outside 1–30 range causes an error
- Empty rows array is rejected
- Payment failure results in no report being returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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