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Record Routing Trailing Mean Series + Explicit Missing-Value Fill Analytics
x402
Record Routing Trailing Mean Series + Explicit Missing-Value Fill Analytics 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 mean time-series analysis and fills missing values for accepted_records and rejected_records routing data, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Trailing mean series + Explicit missing-value fill: Trailing mean series + Explicit missing-value fill 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 trailing mean series for the specified field (accepted_records or rejected_records) over the given window, and (2) an explicit missing-value-filled version of the same series using the chosen method (zero, mean, or median). Results cover all submitted rows (up to 200) with their row_id and date context preserved.
Example use cases
Smoothing data ingestion pipeline metrics
“I have a week of daily record routing logs with accepted_records and rejected_records counts, some days have nulls — can you compute a trailing mean with a window of 4 and fill missing values using the mean, focusing on accepted_records?”
Detecting rejection spikes in ETL monitoring
“Run a trailing mean series on this rejected_records dataset over a window of 7 days and fill any missing entries with zero so I can spot unusual spikes in my ETL pipeline rejections.”
Smoothing multi-group routing quality report
“I've got routing records across two dataset groups over the past month, some values are missing — apply a trailing mean window of 5 and median missing-value fill to the accepted_records field and give me the two analytical reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-154?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local statistical computation — specifically trailing moving averages and missing-value imputation — on record routing data (accepted/rejected counts) without any external data lookups, predictions, or live integrations. Ideal for data quality monitoring pipelines, ETL diagnostics, and time-series smoothing tasks on small-to-medium datasets up to 200 rows. At $0.01 USDC for two reports, it is cost-effective for routine analytical batch jobs on routing metrics.
Side effects
- Fewer than 1 or more than 200 rows submitted returns a validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Window size outside 2–200 range is rejected
- Unknown fill method or field enum value causes validation failure
- Null row_id or missing required fields triggers schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| window | integer |
Tags
x402
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