hubvibe_predictive_probability_engine

shallow

io.github.Its-fortunatefolly/hubvibe · Verify this server

Deterministic statistics over (x, y) points: ordinary least squares linear regression with standard errors and confidence intervals, a fitted normal distribution with quantiles and probability queries, exact Student t and Jarque-Bera p-values validated at your alpha, and predictions with prediction intervals. Points come inline or from a BigQuery table (two numeric columns; above max_rows the rows are chosen by fingerprint, never at random). Pure arithmetic with exactly rounded sums: the same input always returns the same numbers, and no LLM is anywhere in the path. $0.50 per call. Returns: source{}, n, alpha, confidence_level, metrics[], linear_regression{}, normal_distribution{}, p_values{}, prediction[], notes[], method.

100.0/100

1 trials · measured 14 days ago

hubvibe_predictive_probability_engine scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.Its-fortunatefolly/hubvibe, measured 23 Sept 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
self-provisionable
Category
Finance & compliance
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-09-23100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: hubvibe_predictive_probability_engine
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hubvibe_predictive_probability_engine — Vouch