| What it does | Citations, built for AI agents
| AI security reviewer for engineering teams
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| GB
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| Pricing model | Freemium
| Freemium
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| Pricing | 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.
| Free for up to 2 active contributors or open source projects. Starter $95/month for up to 5 contributors, Team $195/month for up to 15 contributors, Growth $395/month for up to 40 contributors. Annual subscriptions billed upfront at ten times the monthly price (2 months free).
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| Key features | - 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
| - Codebase context mapping across repositories and components
- Architecture review and security assumptions analysis
- Focused vulnerability hunting with specialised security lenses
- Finding validation and deduplication
- HTML reports with source locations and suggested fixes
- Review state dashboard with findings filtered by severity
- CLI and terminal dashboard interface
- Support for Claude, Codex and OpenCode AI models
- Unlimited repositories and Dokima runs per plan
- Local data processing without uploading findings
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| What makes it different | - 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
| - AI-powered security review that learns how your software works and keeps reviewing as code evolves
- Findings challenged before presentation to separate plausible issues from weak ones
- Choose your own AI models to suit your budget and privacy preferences
- Full product trial for 21 days with no payment card required
- Free forever for small teams up to 2 contributors and open source projects
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 3 | 0 |
| Citation Flow (Majestic) | 16 | 0 |
| Referring domains (Majestic) | 36 | 1 |