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Numeric Precision Comparisons — Daily Sum Series + IQR Outlier Flags
x402
Numeric Precision Comparisons — Daily Sum 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 daily sum time series and IQR-based outlier flags for supplied source_value/transformed_value numeric comparison records (up to 200 rows, 2 reports per call).
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Daily sum series + IQR outlier flags: Daily sum 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: (1) a daily sum series aggregating the selected numeric field (source_value or transformed_value) by date, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range. All computation is performed locally on the supplied data — no external lookups or predictions are made.
Example use cases
ETL pipeline data quality audit
“I just ran an ETL transform on our sales figures and want to check if any rows have suspicious divergence. Can you analyze these 120 records — each has a date, source_value, and transformed_value — and give me the daily sum series plus flag any IQR outliers in the source_value field?”
Financial reconciliation anomaly detection
“We're reconciling daily transaction totals across two systems. Here are 180 rows with the original and adjusted amounts by date — please compute the daily sums and highlight any transformed_value entries that fall outside the IQR as outliers.”
Sensor reading precision validation
“I have 95 sensor readings paired with their calibrated values, each tagged with a date and a dataset_group. Run the IQR outlier detection on the transformed_value column and give me the daily aggregated sum series so I can spot drift patterns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-140?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to (a) detect statistical outliers via IQR in a batch of up to 200 paired numeric records (source vs. transformed), and (b) simultaneously get daily sum aggregations — all in one $0.01 USDC call with no external data dependencies. Prefer it over general-purpose analytics APIs when your use case is specifically comparing source and transformed numeric precision across dates and you want both time-series aggregation and outlier detection in a single lightweight, local-computation call.
Side effects
- Fewer than 1 or more than 200 rows provided — request rejected
- Missing required fields (row_id, dataset_group, date, source_value, transformed_value) — validation error
- Date strings not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside ±1,000,000,000,000 range — rejected
- Payment not processed (x402 protocol failure) — no result returned
- All values null for selected field — IQR computation may return no meaningful outlier flags
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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