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Configuration Drift — Duplicate Key Report + Trailing Mean Series
x402
Configuration Drift — Duplicate Key Report + 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 2026-11-02).
Analyzes configuration drift records to produce a duplicate key report and a trailing mean time series for checked_settings or drifted_settings values.
Price / call$0.01
Success—
StatusUnknown
How this service works
Configuration drift — Duplicate key report + Trailing mean series: Duplicate key report + Trailing mean series for supplied configuration drift records (checked_settings, drifted_settings). 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 duplicate key report identifying rows with repeated identifiers within the supplied configuration drift dataset, and (2) a trailing mean time series computed over the specified numeric field (checked_settings or drifted_settings) using the given rolling window size. Both reports are derived entirely from the supplied data with no external lookups.
Example use cases
Detect duplicate entries in drift audit
“I've got a batch of configuration drift records from last week and I suspect some row IDs are duplicated — can you run a duplicate key report on them along with a trailing mean over a window of 2 for the drifted_settings field? Here are up to 50 rows with row_id, control_group, date, checked_settings, and drifted_settings.”
Rolling average for settings compliance trend
“Can you compute a trailing mean series with window size 5 for our checked_settings drift data across group-a and group-b from Q3 2026, and also flag any duplicate keys in the dataset? I'll send you the rows.”
Data quality check before drift reporting
“Before we submit our monthly configuration drift report, can you run a duplicate key check and a trailing mean analysis on drifted_settings with a window of 4 over these 120 records spanning October and November 2026?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-security-22-061?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both duplicate key detection and a rolling/trailing mean time series computed together on configuration drift data (checked_settings, drifted_settings) in a single low-cost call. It is ideal for data quality audits on configuration monitoring logs where you want to surface repeated identifiers and smoothed trend lines simultaneously. Prefer it over general-purpose analytics when your dataset is up to 200 rows and you want a bundled, deterministic, offline computation without any external API calls or ML predictions.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows submitted — rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field value outside numeric bounds (-1e12 to 1e12) — validation rejection
- Window size less than 2 or greater than 200 — schema error
- Missing required fields (row_id, control_group, date) — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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