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.
| Provider | Shape | Pricing model | Approx. price | Onboarding |
|---|---|---|---|---|
| Brainiall Content Authenticity | REST: /image /video /audio /provenance β explainable signals + C2PA extraction | Per analyzed asset | $0.01 / asset | Self-serve, instant API key |
| Reality Defender | Enterprise deepfake-detection platform (image/video/audio/text) | Annual contract / per-scan | Enterprise pricing | Sales-led |
| Hive AI (AI-Generated Content) | Moderation API; AI-generated is one classifier among many | Per call, volume tiers | ~$0.003β$0.02 / call (volume-dependent) | Self-serve, volume-oriented |
| Sensity AI | Deepfake detection & monitoring platform | Annual contract | Enterprise pricing | Sales-led |
| AWS / Azure / GCP | Content-moderation labels β no dedicated deepfake or C2PA provenance API | β | Not offered | β |
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
DigitalSourceTypemarkers 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
uncertainon a single forensic indicator, orlikely_ai_generatedon several β it only asserts a definitiveai_generatedverdict when it has authoritative provenance. An ordinary recompressed photo will readuncertain, 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 specAPI reference
OpenAPI spec, the request/response schema, the signal catalog, error codes and rate limits.
Read docs βCompare the catalog
How Brainiall's specialty APIs line up against AWS, Azure and the specialists, use case by use case.
See the comparison βMore specialty APIs
Same single API key, same usage-based pricing, different problem solved.



