Collateral Correlation Risk Analyzer is a paid API for AI agents from staking.halowerk.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-22).
Analyzes caller-supplied evidence to assess collateral correlation risk across metrics like correlation percentage, common issuer share, and liquidity overlap, returning a classified risk verdict with explicit thresholds and confidence signals.
Collateral Correlation Risk analyses only the evidence supplied by the caller. It does not claim to query a chain, identify a legal status or replace an independent audit. Missing signals lower confidence and are listed explicitly; every classification includes the exact thresholds used.
Returns a risk classification (e.g. low/medium/high) for collateral correlation, the exact thresholds used for each metric, a list of any missing evidence signals that lowered confidence, a confidence score reflecting data completeness, and the caller-supplied context labels echoed back unchanged.
POSThttps://staking.halowerk.com/v1/collateral-correlation-risk?utm_source=zero.xyzChoose this endpoint when you need a structured, explainable collateral correlation risk classification based on your own pre-fetched evidence signals rather than live chain queries. It is ideal for DeFi risk workflows where you already have correlation, issuer concentration, and liquidity overlap metrics and need a consistent, threshold-based verdict with explicit confidence reporting. Prefer it over generic risk scoring tools when you need the exact thresholds surfaced and missing-signal transparency.
| Field | Type | Description |
|---|---|---|
| strict | boolean | Reject unless all documented metrics are supplied. |
| context | object | Optional non-secret labels returned unchanged for correlation. |
| subject | string | Address, transaction, protocol, asset, proposal or other subject being assessed. |
| evidence | array | Caller-supplied observations. Repeated metrics form a time series; the newest timestamp is assessed. |
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