{"uid":"cap_yNz6jHzlJOGe4j1AL1CnJ","slug":"airdrop-sybil-score-dao-halowerk-com-6fe35184","name":"Airdrop Sybil Score — dao.halowerk.com","description":"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.","url":"https://dao.halowerk.com/v1/airdrop-sybil-score?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"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."}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.001","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.001/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_eW7MBvep67XjjzwBQxulv","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"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.","exampleAgentPrompt":"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.","exampleUseCases":[{"title":"Pre-airdrop Sybil screening","prompt":"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."},{"title":"Flagging bot cluster in governance vote","prompt":"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."},{"title":"Retrospective airdrop audit","prompt":"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."}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T18:31:11.141Z","isFirstParty":false,"canonicalSlug":"airdrop-sybil-score-dao-halowerk-com-6fe35184"}