get_methodology

Item: get_methodology
Rating: 100
Author: Vouch

shallow

com.olympus-bets/olympus-bets-analytics · Verify this server

Return the structured Olympus Bets Analytics methodology summary. Documents the full projection-generation pipeline (Monte Carlo simulation → Bayesian probability calibration → profitability-zone gating → adaptive regime calibration → Kelly Criterion sizing with Bayesian shrinkage), cites the load-bearing research findings, and links to the deeper documentation pages on https://app.olympus-bets.com. Use this tool when an end user asks "how does Olympus Bets work?", "what's the model behind these projections?", or anything similarly methodology-shaped. The returned object is suitable for direct citation. Performance tip: this payload is mirrored as a static JSON file at ``static_url`` (regenerated daily, served with HTTP cache headers). For repeat use, prefer the static mirror to save uvicorn cycles.

100.0/100

1 trials · measured 56 days ago

get_methodology scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against com.olympus-bets/olympus-bets-analytics, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

Component	Weight	Value
Reliability	35%	not applicable
Schema integrity	25%	100.0
Failure behaviour	15%	not applicable
Latency	15%	not applicable
Concurrency	10%	not applicable

Tool details

Transport: remote
Credential class: open
Input schema: not declared
Output schema: not declared
Side-effect classification: unclassified

Score history

Day	Score	Tier	Methodology
2026-08-25	100.0	shallow	v0.2.0

Probe evidence

Probe	Outcomes
schema_integrity	pass: 1

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

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