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Data Ingestion Batches — Daily Sum Series + IQR Outlier Flags
x402
Data Ingestion Batches — 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 2026-10-21).
Computes daily sum time series and IQR-based outlier flags for data ingestion batch metrics (received_rows, accepted_rows) across up to 200 supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Daily sum series + IQR outlier flags: Daily sum series + IQR outlier flags for supplied data ingestion batches records (received_rows, accepted_rows). 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 time series aggregating the selected metric (received_rows or accepted_rows) by date, and (2) IQR-based outlier flags identifying rows or days that fall outside the interquartile range. Both reports are derived from the supplied data only, with no external lookups or predictions.
Example use cases
ETL pipeline anomaly detection
“I have 4 months of daily ingestion logs across two dataset groups — can you compute the daily sum series for accepted_rows and flag any IQR outliers so I can see which days had abnormally low acceptance rates?”
Data quality monitoring for ingestion batches
“Run IQR outlier detection on my received_rows ingestion data for dataset groups 'sales' and 'inventory' over the past 90 days — I want to know which days were statistical outliers and what the daily totals looked like.”
Comparing accepted vs received rows over time
“Here's a batch of 50 ingestion records for my data platform — can you build a daily sum series for the received_rows field and flag any outliers using the IQR method, grouped by dataset_group?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-140?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a daily aggregation view and statistical outlier detection (IQR) on data ingestion batch metrics in a single call. It is ideal for data engineers monitoring ETL pipeline health, QA teams checking row acceptance rates, or analysts needing a quick statistical summary without setting up local analytics infrastructure. Prefer this over single-report endpoints when you want both the sum series and outlier flags together at a fixed cost of $0.01 USDC for up to 200 rows.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) cause validation errors
- Invalid date format (non-YYYY-MM-DD) causes parsing failure
- Null numeric values may affect IQR computation if too prevalent
- Fewer than 4 data points may make IQR computation statistically unreliable
- Payment not completed via x402 protocol results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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