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Numeric Precision Comparisons — Exact Row Deduplication + IQR Outlier Flags
x402
Numeric Precision Comparisons — Exact Row Deduplication + IQR Outlier Flags 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).
Deduplicates rows and flags IQR-based outliers in supplied numeric comparison records (source_value vs transformed_value) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Exact row deduplication + IQR outlier flags: Exact row deduplication + IQR outlier flags for supplied numeric precision comparisons records (source_value, transformed_value). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two independent analytical reports per call: (1) an exact row deduplication report identifying which of the up to 200 submitted rows are duplicates, and (2) an IQR outlier flagging report marking which rows have source_value or transformed_value entries that fall outside the interquartile range. No external lookups or predictions are made — all analysis is local.
Example use cases
ETL pipeline numeric audit
“I just ran a data transformation job and I need to check the output for duplicate rows and outliers. Here are 120 records with row IDs, dataset groups, dates, source_value and transformed_value columns — can you run the deduplication and IQR outlier flagging on the source_value field and give me both reports?”
Financial data reconciliation check
“We have 80 rows of financial source and transformed values from our reconciliation process. Can you identify any exact duplicate rows and flag which transformed_values are statistical outliers using IQR? The records include row IDs, group labels, and dates.”
QA check on sensor data batch
“I've got a batch of 60 sensor readings where each row has a raw source_value and a calibrated transformed_value. Can you deduplicate this dataset and flag any IQR outliers in the transformed_value column so I know which readings to investigate?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-049?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, low-cost ($0.01 USDC) batch analysis that combines exact duplicate detection with IQR-based outlier flagging on numeric source/transformed value pairs — especially in ETL, data reconciliation, or QA pipelines where you want two independent reports without any external API calls, ML predictions, or professional assessments.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, dataset_group, date, source_value, transformed_value) causes validation failure
- Invalid date format (not YYYY-MM-DD) rejected by pattern constraint
- Numeric values outside ±1,000,000,000,000 range rejected
- Empty rows array (minItems: 1) returns error
- Payment failure via x402 protocol blocks request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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