Orixa Analysis Methodology

Orixa combines Smart Contract Scanner checks, on-chain evidence, market behavior, holder structure, liquidity, and historical intelligence to produce an explainable Token Risk Analysis. The existing Decision Pipeline is the single authoritative source for the decision shown across the product.

Evidence collection

The Smart Contract Analyzer gathers deterministic contract signals and available blockchain security evidence. Depending on the chain and provider coverage, this can include ownership controls, mint capability, proxy behavior, verification status, taxes, sell simulation, liquidity, holders, whales, deployer history, bytecode reputation, and relevant market events.

Evidence quality and confidence

Signals retain their provenance and availability state. Confirmed evidence, conflicting evidence, provider failures, and missing data are handled separately. Confidence describes the quality and completeness of the evidence; it is not a safety guarantee.

Decision Pipeline

The pipeline preserves deterministic checks, evidence weighting, overrides, predictive intelligence, confidence calculations, and final decision rules. Reports, alerts, recommendations, AI explanations, dashboards, PDFs, and APIs consume the same final output rather than creating independent conclusions.

Explainability and AI

AI is used to communicate the established decision and supporting reasons in clear language. It does not replace the underlying decision logic. Explanations distinguish what changed, why it changed, and which evidence contributed most.

Monitoring and historical intelligence

Monitoring compares later observations with prior analysis, allowing Orixa to identify risk-score changes, liquidity events, ownership changes, holder concentration, contract changes, and other Web3 security events. Historical outcomes are used to evaluate predictive accuracy and improve calibration without introducing a separate decision system.

Limitations

Blockchain state changes continuously, and external data providers can be delayed or unavailable. A low-risk result is not proof of safety. Rug Pull Detection and crypto scam detection reduce uncertainty but cannot eliminate it. Users should review the evidence, current timestamp, provider coverage, and their own exposure before acting.