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Record Routing Analytics — Exact Row Deduplication + Trailing Mean Series
x402
Record Routing Analytics — Exact Row Deduplication + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Deduplicates exact rows and computes trailing mean time series for accepted_records and rejected_records in record routing datasets, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean series 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
Two analytical reports: (1) a deduplicated version of the input rows with exact duplicate rows removed, and (2) a trailing mean time series computed over the specified field (accepted_records or rejected_records) using the given window size, for up to 200 input rows. No external lookups or predictions are made — all processing is local.
Example use cases
Daily routing data quality check
“I have 120 rows of record routing logs with accepted and rejected counts per day — can you deduplicate exact duplicate rows and give me a trailing mean series for accepted_records using a window of 5?”
Rejected records trend analysis
“Run deduplication and a rolling mean analysis on my record routing dataset — focus on the rejected_records field with a window of 7, I have about 80 rows across two dataset groups from Q3.”
ETL pipeline audit for routing records
“Before I load this batch, can you clean up any exact duplicate rows in my routing records and also show me the trailing mean with window 2 for accepted_records so I can spot anomalies? It's about 40 rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-045?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact row deduplication and trailing mean time series computation on record routing data (accepted/rejected record counts) in a single API call at low cost ($0.01 USDC for two reports). It is ideal for data quality pipelines, ETL auditing, and trend analysis on routing metrics without needing external data sources or live lookups. Prefer this over general-purpose analytics tools when your data fits within 200 rows and you want a lightweight, self-contained, paid micro-analytics service.
Side effects
- Input exceeds 200 rows — request rejected
- Missing required fields (row_id, date, accepted_records, rejected_records) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Window size outside [2, 200] range returns schema validation error
- All rows are duplicates — dedup report returns empty or single-row result
- Insufficient rows for window size — trailing mean series may be sparse or empty
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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