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Record Routing Analytics — Trailing Mean Series + Equal-Width Histogram
x402
Record Routing Analytics — Trailing Mean Series + Equal-Width Histogram 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 a trailing mean time series and an equal-width histogram for accepted_records or rejected_records fields in record routing data, returning two independent statistical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Trailing mean series + Equal-width histogram: Trailing mean series + Equal-width histogram 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 statistical reports: (1) a trailing mean time series showing smoothed values of the chosen field (accepted_records or rejected_records) over the supplied date-ordered rows using the specified window size, and (2) an equal-width histogram with the specified number of bins summarizing the distribution of that field's values across all supplied rows.
Example use cases
ETL pipeline quality trend analysis
“I have daily record routing logs for the past month across three dataset groups — can you compute a trailing mean series with a window of 7 and a 10-bin histogram on the accepted_records field so I can spot quality trends?”
Rejection spike distribution review
“We've been seeing spikes in rejected records lately. Can you run an equal-width histogram with 8 bins and a trailing mean with a window of 3 on the rejected_records field for the 50 rows I'm uploading, so I can see where the bulk of rejections are clustering?”
Comparing routing performance across dataset groups
“I want to summarize routing performance across two dataset groups over the last quarter — please compute a trailing mean series and a 5-bin histogram on the accepted_records field for my 120-row dataset using a window of 5.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-148?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local statistical summarization of record routing metrics — specifically a smoothed time series (trailing mean) and a frequency distribution (histogram) — without any external data lookup, prediction, or machine learning. It is ideal for small-to-medium datasets (up to 200 rows) where you want two complementary analytical views in a single low-cost call ($0.01 USDC).
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Window size larger than the number of rows provided — trailing mean may be undefined or empty
- Invalid date format (not YYYY-MM-DD) — validation error
- Bin count outside 1–30 range — request rejected
- Null values in accepted_records or rejected_records — may be skipped or cause partial output
- Unknown field value (not accepted_records or rejected_records) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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