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Registry Snapshots: String Normalisation + Trailing Mean Series
x402
Registry Snapshots: String Normalisation + 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 2026-10-23).
Runs two local analytical reports on supplied registry snapshot data — string normalisation and trailing mean series — for up to 200 rows of registered/changed entity counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — String normalisation + Trailing mean series: String normalisation + Trailing mean series 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 independent analytical reports on the supplied rows: (1) string-normalised values for the selected field (registered_entities or changed_entities), and (2) a trailing mean series computed over the specified window size — all processed locally with no external lookups, predictions, or live data.
Example use cases
Rolling average on registered entities
“Here are 120 rows of monthly registry snapshots by company group. Can you compute a trailing mean series with a window of 10 on the registered_entities field so I can see smoothed registration trends over time?”
Normalise changed entity counts
“I've got 80 registry snapshot records with changed_entities counts — please run the string normalisation and trailing mean series (window of 3) on changed_entities so I can see normalised values alongside the rolling mean.”
Compare group trends across registry snapshots
“I have registry data for two company groups over 60 dates. Run the string normalisation and trailing mean (window of 7) on registered_entities so I can compare smoothed trends between group-a and group-b.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-028?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two lightweight analytical passes — string normalisation plus trailing mean series — on registry snapshot data (registered/changed entity counts) in a single low-cost call, with no need for live lookups, external data, or predictive modelling. It is best suited for batch analytical preprocessing of up to 200 rows of company registry time-series data.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds limit
- Invalid date format (must be YYYY-MM-DD) — validation error
- Numeric values outside allowed range (±1 trillion) — schema violation
- Missing required fields (row_id, company_group, date) — request rejected
- Window size smaller than 2 or larger than 200 — schema violation
- Invalid field enum value (must be registered_entities or changed_entities) — error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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