| What it does | Citations, built for AI agents
| The night watch for apps built with AI that tests checkout on every preview, watches live apps and payments, and identifies the deploy behind a break
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| IN
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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.
| Watch: Free (1 app, 1 journey read-only on production daily, security checks, 1 uptime monitor). Guard: $19/month (5 journeys on every preview and production deploy, business pulse, 20 auto-fixes a month, 10 monitors). Guard + Calls: $49/month (everything in Guard plus 10 journeys per app, Corvis ca
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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
| - Journey testing on preview deployments in real browser
- Security checks on every push
- Uptime monitoring
- Leaked key detection and rotation help
- Screenshot and fix brief for failing steps
- Telegram alerts with voice briefings
- Export journeys as Playwright tests
- Supabase row-level security check and auto-fix
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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
| - Tests real customer journeys in a real browser on every preview, not AI-generated tests grading their own work
- Learns your app's normal payment and signup patterns to detect drops when they occur
- Works across Vercel, Supabase and Stripe together for full app visibility
- Calls you on critical issues like stopped payments instead of just sending alerts
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 3 | 0 |
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| Citation Flow (Majestic) | 16 | 0 |
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| Referring domains (Majestic) | 36 | 0 |
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TokenPath
Corvis