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Record Routing Daily Sum Series + IQR Outlier Flags
x402
Record Routing 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 2026-10-19).
Computes daily sum time series and flags statistical outliers using IQR method for accepted_records and rejected_records fields in record routing data, covering up to 200 rows across two reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Daily sum series + IQR outlier flags: Daily sum series + IQR outlier flags for supplied record routing records (accepted_records, rejected_records). 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 field (accepted_records or rejected_records) by date, and (2) IQR-based outlier flags identifying which daily values fall outside the interquartile range bounds, covering up to 200 input rows.
Example use cases
ETL pipeline anomaly detection
“I have daily counts of accepted and rejected records from my ETL pipeline across two dataset groups for the past 6 months — can you compute the daily sum series and flag any days where accepted_records look like statistical outliers using IQR?”
Data quality review for rejected records
“Here's my record routing log for Q3 with group-a and group-b entries — run the daily sum and IQR outlier analysis on rejected_records so I can see which days had unusually high rejection rates.”
Monitoring record ingestion health
“I want to check if any days in my record ingestion history are anomalous — I'll send you up to 150 rows with date, row_id, dataset_group, accepted_records, and rejected_records, and I need daily totals plus IQR-based outlier flags for accepted_records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-140?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a daily aggregated time series AND statistical outlier detection (IQR-based) on record routing metrics in a single low-cost call. Ideal for data engineers and analysts monitoring ETL pipeline health, data quality, or record ingestion anomalies without needing external data lookups or predictions — purely local analytical computation on your supplied rows.
Side effects
- Missing required fields (row_id, date, dataset_group, accepted_records, rejected_records) cause validation errors
- Dates not matching YYYY-MM-DD pattern are rejected
- Exceeding 200 rows returns an error or truncation
- Null values in numeric fields may affect IQR calculations
- Invalid field enum value (not accepted_records or rejected_records) causes rejection
- Payment failure via x402 protocol prevents execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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