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Token Assessment Evidence Coverage — Rolling Mean Report
x402
Token Assessment Evidence Coverage — Rolling Mean Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Computes a rolling mean of token assessment evidence coverage ratios (observed vs. requested fields) over a sliding window across a series of token observations.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token assessment evidence coverage — Rolling mean report: Rolling mean report for Token assessment evidence coverage. Supplied token observations only. Deterministic calculation or caller-threshold verdict, not a live scan, safety proof or trade recommendation. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one bounded rolling mean report report.
Output
A rolling mean report showing the smoothed coverage ratio (observed_fields / requested_fields) across the supplied observation rows using the specified window size. Output reflects a deterministic calculation based solely on the caller-supplied data — not a live scan or external data lookup.
Example use cases
Monitoring token data completeness trends
“I have a series of token assessment readings where observed fields were 5, 7, 6, 8 and requested fields were 10, 10, 10, 10 — can you compute the rolling mean coverage over a window of 3 so I can see how completeness is trending?”
Smoothing noisy coverage metrics for reporting
“My token evidence data is pretty noisy — I have 6 observation pairs with observed counts ranging from 7 to 9 out of 10 requested. Run a rolling mean with window size 2 so I can smooth it out for my weekly report.”
Auditing field completeness before token review
“Before I submit this token assessment, I want to check the rolling average evidence coverage over the last 5 observations: (9,10), (8,10), (7,10), (8,10), (9,10) — use a window of 3 and tell me if coverage is holding steady.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-evidence-coverage-rolling?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a deterministic, auditable rolling mean of token evidence coverage ratios from caller-supplied observation data. It is purpose-built for token assessment field completeness analytics with a configurable sliding window, costs only $0.01 USDC per call, and produces a bounded report without requiring external data sources or live scans. Prefer it over generic statistics APIs when your domain is specifically token assessment evidence coverage.
Side effects
- Fewer than 2 rows supplied — minimum row count is 2
- Window size exceeds number of rows — calculation cannot proceed
- requested_fields set to 0 — division by zero in coverage ratio
- Row count exceeds 200 — maximum array size limit
- Non-numeric values passed in observed_fields or requested_fields
- Window value outside allowed range of 2–200
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| window | integer |
Tags
x402
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