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Numeric Precision Comparisons — Trailing Mean Series + IQR Outlier Flags
x402
Numeric Precision Comparisons — Trailing Mean Series + 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).
Computes trailing moving-average series and IQR-based outlier flags for up to 200 rows of source/transformed numeric value pairs, delivering two local analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Trailing mean series + IQR outlier flags: Trailing mean series + 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
Returns two analytical reports per call: (1) a trailing mean series computed over the selected field (source_value or transformed_value) using the specified window size, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range — all computed locally without external lookups or predictions.
Example use cases
ETL pipeline numeric drift detection
“I ran an ETL transformation on our sales figures and I want to check if any rows look like outliers. I have 120 rows with source_value and transformed_value for each date — can you compute a trailing mean series with window 10 on source_value and flag any IQR outliers so I can spot data drift?”
Financial data quality audit
“We have a dataset of 80 transaction amounts before and after currency conversion — the source_value is in USD and transformed_value is the converted amount. Can you run trailing mean and IQR outlier detection with a window of 3 on the transformed_value field so we can catch any suspicious conversion errors?”
Sensor reading anomaly check
“I've got 150 sensor readings split across two device groups, each row has a raw reading as source_value and a calibrated reading as transformed_value. Please compute the trailing mean series with a window of 7 and flag any IQR outliers in the source_value column so I can identify faulty sensors.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-149?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local statistical analysis of numeric pairs (source vs transformed values) without any external data lookups — specifically when you want both a trailing moving average series and IQR outlier detection in one call at low cost ($0.01 USDC for up to 200 rows and 2 reports). It is ideal for data quality checks on ETL outputs, transformation validation, or time-series anomaly detection on small-to-medium datasets.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — maximum limit exceeded
- Invalid date format (must match YYYY-MM-DD pattern)
- Missing required fields: row_id, dataset_group, date, source_value, or transformed_value
- Window size outside allowed range of 2–200
- Invalid field enum value — must be 'source_value' or 'transformed_value'
- Numeric values outside allowed range (-1e12 to 1e12)
- Payment not completed — 0.01 USDC required per call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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