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Brainiall Authenticity
Is this media real, AI-generated, or edited?

AI-generated and manipulated media detection powered by Brainiall Authenticity engine. Submit an image, video or audio asset and get back a 0-1 likelihood, a verdict, and the exact forensic and provenance signals that drove it β€” embedded C2PA Content Credentials, generator metadata, Fourier-domain artifacts, spectral forensics. A dedicated /provenance endpoint extracts and surfaces Content Credentials directly. $0.01/analyzed asset. Every score is fully explained β€” never a black-box verdict.

How we compare

The incumbents are enterprise deepfake platforms sold through a sales motion and an annual contract (Reality Defender, Sensity), or volume-priced moderation APIs that treat AI-generated content as one label among many (Hive). The hyperscalers don't ship a dedicated authenticity or provenance API at all. Brainiall is a flat per-asset REST call: send the media, get a verdict with the signals attached β€” including authoritative C2PA Content Credentials extraction β€” self-serve from the first call.

ProviderShapePricing modelApprox. priceOnboarding
Brainiall Content AuthenticityREST: /image /video /audio /provenance β€” explainable signals + C2PA extractionPer analyzed asset$0.01 / assetSelf-serve, instant API key
Reality DefenderEnterprise deepfake-detection platform (image/video/audio/text)Annual contract / per-scanEnterprise pricingSales-led
Hive AI (AI-Generated Content)Moderation API; AI-generated is one classifier among manyPer call, volume tiers~$0.003–$0.02 / call (volume-dependent)Self-serve, volume-oriented
Sensity AIDeepfake detection & monitoring platformAnnual contractEnterprise pricingSales-led
AWS / Azure / GCPContent-moderation labels β€” no dedicated deepfake or C2PA provenance APIβ€”Not offeredβ€”

Prices are list-price approximations for orientation, not quotes β€” most authenticity vendors price by negotiation. Pixel-only deepfake detection is an unsolved, adversarial problem industry-wide; Brainiall is honest about that β€” see "How the score works" below. Always check each vendor's current terms.

Pricing

One per-asset price, whatever the media type. The free tier is enough to wire authenticity checks into an upload or onboarding flow and see real verdicts.

Free

$0/mo

100 analyzed assets/month Β· all 4 endpoints Β· forever free

Starter

$29/mo

~5,000 assets/month Β· image, video, audio & provenance

Pro

$119/mo

~25,000 assets/month Β· priority queue Β· 99.5% SLA

Business

$399/mo

~120,000 assets/month Β· dedicated capacity Β· email + Slack support

PAYG: $0.01 / analyzed asset (Brainiall Authenticity engine), any media type. No minimum spend, no contract β€” the same single API key and usage-based billing as the rest of the catalog.

Four endpoints

# Submit media as raw bytes, a multipart file upload, or {"data": "<base64>"}.

# 1. Image β€” AI-generated / manipulated detection
POST https://api.brainiall.com/v1/authenticity/image
  -> {"media_type": "image", "ai_generated_likelihood": 0.98, "verdict": "ai_generated",
      "signals": [
        {"signal": "content_credentials_ai", "tier": "provenance", "weight": 4.2,
         "direction": "synthetic",
         "detail": "Embedded C2PA Content Credentials declare this as AI-generated media."},
        {"signal": "exif_ai_software", "tier": "provenance", "weight": 3.3,
         "direction": "synthetic",
         "detail": "The EXIF Software tag references a known AI image generator."}],
      "engine": "Brainiall Authenticity engine"}

# 2. Provenance β€” extract embedded C2PA Content Credentials
POST https://api.brainiall.com/v1/authenticity/provenance
  -> {"has_content_credentials": true, "is_ai_generated": true,
      "claim_generator": "Midjourney/6.0", "signature_present": true,
      "assertions": ["actions", "ingredient (source asset)"],
      "summary": "Content Credentials are present and declare AI-generated origin."}

# 3. Audio β€” synthetic / cloned-speech detection
POST https://api.brainiall.com/v1/authenticity/audio
  -> {"media_type": "audio", "synthetic_likelihood": 0.55, "verdict": "uncertain",
      "signals": [{"signal": "bandwidth_ceiling", "tier": "forensic", "weight": 0.55, ...}]}

# 4. Video β€” deepfake detection (frame sampling + temporal consistency)
POST https://api.brainiall.com/v1/authenticity/video
  -> {"media_type": "video", "deepfake_likelihood": 0.71, "verdict": "likely_ai_generated",
      "frames_analyzed": 8, "per_frame_likelihood": [0.55, 0.74, ...], "signals": [...]}

Every response is fully explainable: signals lists exactly what was found and how much it moved the score. Each signal carries a tier β€” provenance (deterministic: embedded C2PA / metadata, authoritative when present) or forensic (heuristic indicator). No GPU, no opaque classifier.

How the score works

Honesty first: pixel-only deepfake detection is an adversarial, unsolved problem. So the engine is built around what it can verify deterministically.

  • Provenance signals are authoritative. Embedded C2PA Content Credentials, XMP/IPTC DigitalSourceType markers and EXIF generator tags are deterministic β€” when present, they decide the verdict. C2PA is the emerging industry standard, embedded by DALLΒ·E, Adobe Firefly, and a growing list of cameras and tools.
  • Forensic signals are honest indicators. Fourier-domain artifacts, error-level analysis, spectral forensics and dimension fingerprints are corroborating heuristics β€” never decisive on their own.
  • The engine never bluffs. Without a provenance signal it returns at most uncertain on a single forensic indicator, or likely_ai_generated on several β€” it only asserts a definitive ai_generated verdict when it has authoritative provenance. An ordinary recompressed photo will read uncertain, not a false positive.
  • You see the reasoning. Every verdict ships with the full signal list, so a human reviewer can read why β€” and decide.

What it's for

  • KYC & onboarding integrity: flag AI-generated or manipulated ID photos and selfies before they pass identity verification.
  • Trust & safety: screen user-uploaded images, video and audio for synthetic and deepfake content at upload time.
  • Newsroom, OSINT & provenance: extract and surface C2PA Content Credentials to verify where an image came from before it's published or cited.
  • Insurance & claims: catch AI-generated or edited claim photos and supporting documents.
  • Marketplace & listings: detect AI-generated product imagery and synthetic reviews-with-media.
  • One bill, one key: same Brainiall API key and usage-based billing as the rest of the catalog β€” no separate authenticity vendor to procure.

Press kit & resources

What reviewers, integrators and procurement teams typically ask for.

OpenAPI spec

The machine-readable OpenAPI 3.1 definition for the whole catalog, including all four authenticity endpoints and their schemas.

View spec

API reference

OpenAPI spec, the request/response schema, the signal catalog, error codes and rate limits.

Read docs β†’

Try it now

Free API key in 30 seconds β€” 100 analyzed assets/month, no card.

Get a key β†’

Compare the catalog

How Brainiall's specialty APIs line up against AWS, Azure and the specialists, use case by use case.

See the comparison β†’

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Brainiall Authenticity β€” Brainiall (AI-generated & deepfake media detection, C2PA provenance, per-asset pricing, explainable signals) | Brainiall