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Duplicate Observations — Numeric Interval Filter + Trailing Mean Series
x402
Duplicate Observations — Numeric Interval Filter + 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 2026-10-15).
Applies a numeric interval filter and computes a trailing mean series on up to 200 duplicate-observation records, returning two analytical reports from local engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Numeric interval filter + Trailing mean series: Numeric interval filter + Trailing mean series 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 numeric interval filter report showing which rows fall within the specified min/max bounds for the chosen field, and (2) a trailing mean series report showing rolling averages computed over the specified window size — both generated locally without external lookups.
Example use cases
Daily data quality monitoring report
“Here are my dataset quality records for October — each row has a date, group name, and duplicate_row counts. Please filter the duplicate_rows field between 0 and 200 and compute a trailing mean series with a window of 5 so I can spot trends.”
Detecting duplicate spikes in ingestion pipeline
“I've got 180 rows of ingestion pipeline stats with duplicate_rows and total_rows per day per group. Run an interval filter keeping values between 10 and 1000 on total_rows and give me the trailing mean with a window of 14.”
Comparing duplicate rates across dataset groups
“Can you analyze this batch of 60 records from two dataset groups — filter out duplicate_rows values outside the 0 to 100 range and show me the rolling average with a window size of 3?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-126?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 structured duplicate-observation records and need both a bounded numeric filter and a rolling/trailing mean series in a single low-cost call ($0.01 USDC). It is ideal for data quality monitoring workflows where you want to isolate records within a value range and simultaneously understand temporal trends via a sliding window — all processed locally without any external API dependencies.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Window size larger than number of rows — trailing mean may have insufficient data
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Null values in the target field — may affect filter and mean calculations
- Min value greater than max value — empty interval filter result
- Missing required fields (row_id, date, duplicate_rows, total_rows) — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer | |
| maximum | number | |
| minimum | number |
Tags
x402
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