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Registry Snapshots — Trailing Mean Series + Explicit Missing-Value Fill
x402
Registry Snapshots — Trailing Mean Series + Explicit Missing-Value Fill 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 rolling trailing mean time series and fills missing values in registry snapshot data (registered_entities, changed_entities) using a chosen fill method.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — Trailing mean series + Explicit missing-value fill: Trailing mean series + Explicit missing-value fill for supplied registry snapshots records (registered_entities, changed_entities). 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
Two analytical reports covering: (1) a trailing mean time series for the specified field computed over the given rolling window, and (2) an explicit missing-value fill applied to the same field using the chosen method (zero, mean, or median). Results are based purely on the supplied rows (up to 200) with no live lookup or external data.
Example use cases
Smooth entity registration trends for compliance
“I have 6 months of daily registry snapshot records for three company groups — can you run a trailing mean with a window of 7 and use mean fill for any missing registered_entities values so I can see smoothed registration trends?”
Detect and fill gaps in change audit data
“My registry data has some null values in changed_entities across 50 rows for various company groups — please apply zero fill and compute a trailing mean with window 4 so I can analyze entity change patterns without gaps distorting the series.”
Compare smoothed entity counts across company groups
“I have 100 rows of registry snapshots for groups alpha, beta, and gamma — run the trailing mean series with window 5 and median fill on registered_entities so I can compare smoothed entity counts across all three groups over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-154?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular registry snapshot data (registered_entities and/or changed_entities) and need both a rolling trailing mean time series and explicit missing-value imputation in a single call. Ideal for offline/batch analytical pipelines processing up to 200 rows where no live data lookup is required. Prefer over generic stats tools when you want both smoothing and gap-filling delivered together as two coordinated reports for a shared dataset.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows submitted — exceeds maximum batch size
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Window size outside 2–200 range — validation failure
- Unknown fill method or field enum value — schema rejection
- All values null for a group — trailing mean may be undefined or empty
- Payment not confirmed — endpoint returns 402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| window | integer |
Tags
x402
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