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Airdrop Sybil Score — dao.halowerk.com
x402
Airdrop Sybil Score — dao.halowerk.com is a paid API for AI agents from dao.halowerk.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-24).
Scores a blockchain address or cluster for Sybil activity risk by analyzing caller-supplied evidence metrics such as funding overlap, behavioral similarity, and cluster size.
Price / call$0.001
Success—
StatusUnknown
How this service works
Airdrop Sybil Score 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.
Output
Returns a Sybil risk score and classification for the submitted subject, including the exact thresholds applied, a confidence level reflecting how many signals were supplied, and an explicit list of any missing evidence metrics that lowered confidence. The caller's optional context labels are returned unchanged for correlation.
Example use cases
Pre-airdrop Sybil screening
“Before we distribute tokens, score address 0xDeFi9988 for Sybil risk. I have three data points: funding overlap of 65%, behavior similarity of 88%, and a cluster size of 30. Use strict mode so we know immediately if any required signal is missing.”
Flagging bot cluster in governance vote
“We suspect a cluster of wallets is gaming our DAO governance vote. Can you run a Sybil score on address 0xVoter4422 with funding overlap 45%, behavior similarity 95%, and cluster size 120 observed on 2024-11-01? I need the classification thresholds used and any missing signals called out.”
Retrospective airdrop audit
“Audit this address 0xRetro7731 for Sybil behavior after our last airdrop using the evidence I have: behavior similarity 72% (observed 2024-09-15) and cluster size 18 (observed 2024-09-15). No funding overlap data available — list that as a missing signal and give me the confidence score.”
Technical details
Endpoint
POSThttps://dao.halowerk.com/v1/airdrop-sybil-score?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have caller-supplied quantitative signals (funding overlap %, behavior similarity %, cluster size) and need a transparent, threshold-explicit Sybil risk score without requiring direct chain access. It is ideal for pre-airdrop screening pipelines, post-hoc audits, or governance fraud detection where you already have aggregated metrics and want a fast, cheap ($0.001 USDC) classification with explicit confidence and missing-signal reporting. It complements but does not replace independent audits or on-chain querying tools.
Side effects
- Missing required 'evidence' array or 'subject' field returns a validation error
- Strict mode enabled with incomplete metrics rejects the request immediately
- Unrecognized metric enum values cause item-level validation failure
- Evidence array exceeding 50 items is rejected
- Malformed ISO-8601 timestamps in evidence items cause parsing errors
- Low evidence coverage produces low-confidence classifications rather than hard errors
Input
Schema · Request body
| 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. |
Tags
x402
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