| What it does | Evidence laid out, not a lone percentage.
| Citations, built for AI agents
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | Not given
| Not given
|
|---|
| Pricing model | Freemium
| Freemium
|
|---|
| Pricing | Free plan: 4 welcome credits (1 full report). Pro: $19/month for 300 credits/month. Team: $59/month for 1500 credits/month. Each report costs 4 credits.
| Free tier for small requests with no API key required; 10 million free tokens to start; $1 per million tokens for pay-as-you-go, with discounts available at volume or with annual commitments; failed requests are never charged.
|
|---|
| Key features | - Cross-checks four independent detection models
- Deterministic evidence trump card (C2PA credentials, generator self-tags)
- Published weighted-vote rule (30% each for Sightengine, Winston AI, Was It AI; 10% for SAFE)
- Batch screening of up to 50 images at once
- Graded conclusions with disagreement reported
- Shareable report links and forensic PDF download
- Support for JPEG, PNG, WebP up to 12MB
- Generator-specific classification (Midjourney, DALL-E, Stable Diffusion, Flux, Imagen, Adobe Firefly, Ideogram)
- SHA-256 file hash recording for chain-of-custody
- Private uploads, shared only via report link
| - Token-level attribution with confidence scores
- Works with any AI model without access to weights or internals
- Processes documents up to 1 million tokens
- Returns results in under 2 seconds for 20,000-token documents
- On-premise and air-gapped deployment options
- PDF support with character-level mapping
- Supports 23+ languages including Indian languages
- Chrome browser extension for page and PDF tracing
- Raw token-by-token heatmaps available via API
- No data logging or training on request content
|
|---|
| What makes it different | - Published weighted-vote rule with every vote shown by name instead of hidden percentages
- Reports disagreement honestly instead of blending signals into one number
- Automatic credit refund when an engine fails
- Full product access in free tier (not a limited teaser)
- Deterministic file evidence (C2PA, metadata) that outranks model votes
| - Measures attention directly from the model's computation rather than asking the model to cite itself, providing verifiable attribution
- Achieves frontier-grade citation quality at 7x lower cost and 5-6x faster than alternatives
- Never confused by duplicate facts—identifies the exact occurrence the answer used even when values appear multiple times
- Lands on exact tokens down to character level, not just document chunks
- Works on any model's output post-generation without modifying inference pipeline
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 41 ▲ +1 (up) since last check | 2 ● no change since last check |
|---|
| Trust Flow (Majestic) | 13 | 3 |
|---|
| Citation Flow (Majestic) | 27 | 16 |
|---|
| Referring domains (Majestic) | 102 | 36 |
|---|
AI Image Detector
TokenPath