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Registry Snapshots — Trailing Mean Series + Secondary-Measure Weighted Mean
x402
Registry Snapshots — Trailing Mean Series + Secondary-Measure Weighted Mean 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 trailing mean time series and a secondary-measure weighted mean for supplied registry snapshot records covering registered and changed entities.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — Trailing mean series + Secondary-measure weighted mean: Trailing mean series + Secondary-measure weighted mean 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
Returns two analytical reports: (1) a trailing mean time series for the chosen primary field (registered_entities or changed_entities) over the specified rolling window, and (2) a secondary-measure weighted mean where one registry measure weights the other — both computed locally on the supplied rows without any external lookup.
Example use cases
Rolling average for entity registration trends
“I have 50 daily registry snapshot rows for two company groups from Q3, each with registered_entities and changed_entities counts. Can you compute a trailing mean series using a window of 5 on registered_entities, plus a weighted mean where changed_entities is the secondary measure?”
Monitoring entity change spikes across groups
“Here are 30 rows of registry snapshots for our compliance dashboard — dates, company_group, registered_entities, and changed_entities. Run a trailing mean series with window size 7 on changed_entities and give me the weighted mean using registered_entities as the secondary measure.”
Quarterly summary of company registry activity
“I've got registry snapshot data for four company groups over the last quarter, about 120 rows total. Can you generate a trailing mean series with a window of 10 on registered_entities along with a secondary-measure weighted mean so I can see which groups had the most stable registration activity?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-151?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of registry snapshot data with registered_entities and changed_entities columns and need both a rolling/trailing mean time series and a weighted mean in a single low-cost ($0.01 USDC) call. Prefer it over general-purpose analytics when your data fits the company_group + date + dual-entity schema exactly and you want offline, no-external-lookup statistical computation.
Side effects
- Fewer than 1 row or more than 200 rows supplied — request rejected
- Window size larger than the number of rows causes insufficient data for trailing calculation
- Invalid date format (not YYYY-MM-DD) causes parsing failure
- Null values in numeric fields may reduce effective window size or produce null outputs
- Field enum value not matching 'registered_entities' or 'changed_entities' causes validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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