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Duplicate Observations — Trailing Mean Series + Equal-Width Histogram
x402
Duplicate Observations — 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 2026-10-20).
Computes a trailing mean time series and an equal-width histogram for supplied duplicate-row observation records (duplicate_rows, total_rows) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Trailing mean series + Equal-width histogram: Trailing mean series + Equal-width histogram for supplied duplicate observations records (duplicate_rows, total_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 trailing mean time series showing rolling averages of the selected field (duplicate_rows or total_rows) over the specified window, and (2) an equal-width histogram distributing values into the specified number of bins with counts per bin. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Data quality trend monitoring
“I've got daily duplicate row counts for our ingestion pipeline over the past 3 months across 2 dataset groups. Can you compute a trailing mean with a window of 7 and a 10-bin histogram on the duplicate_rows field so I can see if duplicates are trending up or down?”
Histogram distribution of total rows
“Here are 50 records with total_rows counts per dataset group. Run an equal-width histogram with 8 bins and a trailing mean window of 4 on the total_rows field so I can understand how row counts are distributed.”
Duplicate rate statistical summary for audit
“I need a statistical breakdown of duplicate_rows across 120 data ingestion records for an audit report — please generate a trailing mean series with window size 5 and a 6-bin histogram on the duplicate_rows values.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-148?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected duplicate observation records with date, group, and row count fields and need two complementary statistical views — a rolling mean trend and a frequency histogram — in a single low-cost call. Ideal for data quality pipelines, audit workflows, or monitoring dashboards that already have the raw duplicate counts and need fast local analytics without external data fetching or prediction.
Side effects
- Fewer than 1 or more than 200 rows provided — request rejected
- Window size larger than number of rows — trailing mean may return empty or reduced series
- Invalid date format (not YYYY-MM-DD) — validation error
- Bin count outside 1–30 range — rejected
- Field value outside allowed numeric range (±1,000,000,000,000) — validation error
- Null values in duplicate_rows or total_rows may reduce effective sample size for statistics
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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