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Duplicate Observations — Numeric Distribution + Trailing Mean Series
x402
Duplicate Observations — Numeric Distribution + 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 2026-10-16).
Computes a numeric distribution summary and a trailing mean time series for supplied duplicate_rows and total_rows observation records, locally, with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Numeric distribution + Trailing mean series: Numeric distribution + 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 independent analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, median, percentiles, spread) for the selected field across all supplied rows, and (2) a trailing mean time series for that field using the specified rolling window — all computed locally from the supplied data, with no external data fetched.
Example use cases
Data quality audit across dataset groups
“I have 150 daily duplicate-row observations from my ETL pipeline across two groups — 'group-a' and 'group-b' — each with a date, duplicate_rows, and total_rows. Can you give me a numeric distribution and a 14-day trailing mean series on the duplicate_rows field so I can see where duplication is spiking?”
Monitoring total row growth over time
“I want to track how total_rows have been trending across my dataset batches. I have 80 records with dates and total_rows counts. Can you compute the numeric distribution and a trailing mean series with a window of 5 for the total_rows field?”
Validating deduplication improvement over sprints
“We ran deduplication sprints over the past quarter and I have 60 daily records showing duplicate_rows and total_rows per sprint cycle. Can you produce the numeric distribution and trailing mean (window of 3) on duplicate_rows so I can show the team whether the duplicate rate is genuinely improving?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-076?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 records of duplicate-observation data (with duplicate_rows and total_rows per date and dataset group) and need both a numeric distribution summary and a trailing mean time series in a single low-cost call ($0.01 USDC), with no external lookups, predictions, or live data required. Prefer it over general-purpose analytics tools when you want a bundled two-report output computed entirely from your supplied data.
Side effects
- Fewer than 1 row supplied — returns validation error
- More than 200 rows supplied — exceeds maxItems limit, rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Window size outside 2–200 range — rejected by schema
- Field value not 'duplicate_rows' or 'total_rows' — enum validation failure
- Null values in numeric fields may affect distribution calculations
- Missing required properties (row_id, dataset_group, date) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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