Delegated Voting Concentration Analyzer is a paid API for AI agents from dao.halowerk.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-23).
Analyzes caller-supplied evidence to classify delegated voting power concentration in a DAO, returning a risk classification with explicit thresholds and confidence based on provided metrics.
Delegated Voting Concentration 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 delegated voting concentration classification (e.g. low/medium/high risk) with explicit threshold values used to determine each classification, a confidence score based on completeness of supplied evidence, and an explicit list of any missing metrics that would have strengthened the assessment. The input context object is echoed back unchanged for caller correlation.
POSThttps://dao.halowerk.com/v1/delegated-voting-concentration?utm_source=zero.xyzChoose this endpoint when you need a structured, threshold-explicit classification of delegated voting concentration using your own on-chain data rather than a live chain query. It is particularly useful when you already have aggregated metrics (top delegate share, inactive power, delegate overlap) and need an auditable, reproducible risk classification without triggering a separate chain read. Prefer this over generic governance scoring tools when you need the exact thresholds documented in the response for compliance or reporting purposes.
| 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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