{"uid":"cap_kXAVBfi_qFsJobA9d1XO3","slug":"halowerk-deepfake-score-calculator-3bcb43f1","name":"Halowerk Deepfake Score Calculator","description":"Normalizes caller-supplied blink deviation, lip-sync error, spectral discontinuity, compression inconsistency and metadata anomaly using declared fixed weights. It does not inspect media, establish authenticity, identify a generator or replace human forensic review; the result is only as reliable as the supplied signals.","url":"https://creator.halowerk.com/v1/deepfake-score","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"metadata_anomaly":{"type":"boolean"},"lip_sync_error_ms":{"type":"number","maximum":10000,"minimum":0},"spectral_discontinuity_score":{"type":"number","maximum":1,"minimum":0},"blink_rate_deviation_fraction":{"type":"number","maximum":10,"minimum":0,"description":"Absolute fractional deviation from a caller-selected expected blink rate."},"compression_inconsistency_score":{"type":"number","maximum":1,"minimum":0}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.003","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":"$0.003/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_nMtaClprsDZtO1rt9iPOT","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.003","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes a weighted deepfake likelihood score by normalizing caller-supplied blink deviation, lip-sync error, spectral discontinuity, compression inconsistency, and metadata anomaly signals using fixed weights.","exampleAgentPrompt":"Score this video clip for deepfake likelihood — my analysis found a blink rate deviation of 0.45, a lip-sync error of 120ms, spectral discontinuity of 0.72, compression inconsistency of 0.58, and metadata anomalies were detected.","exampleUseCases":[{"title":"Screening user-submitted video content","prompt":"I've analyzed a user-uploaded video and extracted these signals: blink deviation 0.30, lip-sync error 85ms, spectral discontinuity 0.60, compression inconsistency 0.40, and no metadata anomaly — can you give me a deepfake score so I can decide whether to flag it for manual review?"},{"title":"Newsroom authenticity triage","prompt":"We received a viral clip and ran our forensic tools on it: blink rate deviation is 0.65, lip-sync error is 200ms, spectral discontinuity is 0.88, compression inconsistency is 0.75, and there are metadata anomalies. What deepfake score does that produce?"},{"title":"Automated social media moderation pipeline","prompt":"For this flagged post, my pipeline measured blink deviation 0.10, lip-sync error 15ms, spectral discontinuity 0.20, compression inconsistency 0.12, no metadata anomaly — compute the deepfake likelihood score so I can decide whether to escalate."}],"resultDescription":"Returns a normalized composite deepfake likelihood score derived from the five supplied signals (blink rate deviation, lip-sync error, spectral discontinuity, compression inconsistency, metadata anomaly) weighted by fixed internal coefficients. The score reflects the combined evidence of inauthenticity but does not identify the specific generator, inspect raw media directly, or establish legal authenticity.","failureModes":["Missing or out-of-range input values (e.g. lip_sync_error_ms above 10000 or spectral_discontinuity_score above 1) may cause validation errors or rejected requests","Supplying poorly calibrated or externally computed signals will produce unreliable scores since the service cannot verify input accuracy","No fallback or partial scoring if required fields are omitted — caller must supply all signals","Score may be misleading if caller-selected expected blink rate baseline is incorrect, since the deviation is relative to that baseline"],"whenToPreferThis":"Use this endpoint when you have already extracted forensic signals from a video (blink deviation, lip-sync error, spectral discontinuity, compression inconsistency, metadata anomaly) and need a fast, lightweight composite deepfake likelihood score without sending raw media. Prefer it for pipeline stages where signal extraction is done upstream and you only need weighted score aggregation. Do not use it as a substitute for full media inspection, human forensic review, or when you need to identify the generative model behind a suspected deepfake.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T17:51:00.190Z","isFirstParty":false}