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Token Supplied Rule-Flag Fraction — Rolling Mean Report
x402
Token Supplied Rule-Flag Fraction — 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 the fraction of flagged rules out of evaluated rules across a sequence of token-supplied observations
Price / call$0.01
Success—
StatusUnknown
How this service works
Token supplied rule-flag fraction — Rolling mean report: Rolling mean report for Token supplied rule-flag fraction. 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 over the provided sequence of (flagged_rules / evaluated_rules) fractions, computed deterministically using the specified window size. Returns smoothed fraction values across the observation window — not a live scan or safety verdict.
Example use cases
Compliance rate smoothing for token stream
“I have a series of token compliance checks — each with how many rules were flagged out of how many were evaluated. Can you compute the rolling mean of the flag fraction across those observations using a window of 4, so I can see the smoothed trend?”
Risk flag trend analysis over session
“Here are 6 rounds of rule evaluations for a token session, each showing flagged_rules and evaluated_rules counts. Run a rolling mean with window size 3 so I can see whether the flag rate is trending up or down.”
Audit report for rule-flag share baseline
“I need a rolling average report on the fraction of rules flagged per evaluated rules across these 10 token observations, using a window of 5 — I want to establish a baseline flag-share metric for our audit.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-flag-share-rolling?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a deterministic, reproducible rolling mean of token rule-flag fractions over a bounded time series. It is purpose-built for smoothing compliance or flagging metrics across sequential token observations. Prefer it over raw ratio calculations when you need windowed aggregation rather than per-row values, and when you want a structured report rather than a live scan or real-time verdict.
Side effects
- Fewer than 2 rows provided — minimum row count not met
- evaluated_rules value of 0 — division by zero excluded by exclusiveMinimum constraint
- Window size exceeds number of rows — insufficient data for rolling calculation
- More than 200 rows submitted — exceeds maxItems limit
- Non-numeric or missing required fields (flagged_rules or evaluated_rules) in a row
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| window | integer |
Tags
x402
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