# Airdrop Sybil Score — dao.halowerk.com

> 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.

## Facts

- Endpoint: POST https://dao.halowerk.com/v1/airdrop-sybil-score?utm_source=zero.xyz
- Price: $0.001/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/airdrop-sybil-score-dao-halowerk-com-6fe35184
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_yNz6jHzlJOGe4j1AL1CnJ

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability airdrop-sybil-score-dao-halowerk-com-6fe35184 -d '<json body>'
```

Example prompt: Score wallet address 0xAbC123 for Sybil risk using these observations: funding overlap is 78%, behavior similarity is 92%, and cluster size is 45 — flag any missing signals and tell me the confidence level.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "strict": {
   "type": "boolean",
   "default": false,
   "description": "Reject unless all documented metrics are supplied."
  },
  "context": {
   "type": "object",
   "description": "Optional non-secret labels returned unchanged for correlation.",
   "maxProperties": 20,
   "additionalProperties": {
    "type": [
     "string",
     "number",
     "boolean",
     "null"
    ]
   }
  },
  "subject": {
   "type": "string",
   "maxLength": 256,
   "minLength": 1,
   "description": "Address, transaction, protocol, asset, proposal or other subject being assessed."
  },
  "evidence": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "metric",
     "value"
    ],
    "properties": {
     "note": {
      "type": "string",
      "maxLength": 500
     },
     "value": {
      "type": [
       "number",
       "boolean"
      ]
     },
     "metric": {
      "enum": [
       "funding_overlap_pct",
       "behavior_similarity_pct",
       "cluster_size"
      ],
      "type": "string"
     },
     "source": {
      "type": "string",
      "maxLength": 300,
      "minLength": 1,
      "description": "Evidence source or query identifier."
     },
     "timestamp": {
      "type": "string",
      "maxLength": 40,
      "minLength": 10,
      "description": "ISO-8601 observation time."
     }
    },
    "additionalProperties": false
   },
   "maxItems": 50,
   "minItems": 1,
   "description": "Caller-supplied observations. Repeated metrics form a time series; the newest timestamp is assessed."
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/airdrop-sybil-score-dao-halowerk-com-6fe35184/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from dao.halowerk.com](https://www.zero.xyz/host/dao.halowerk.com/llms.txt)