| What it does | Publish documents for feedback, pull edits and comments back into your agent
| AI that reads each person first, knows their normal, and remembers every pair
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| Stage | Not given
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| Founded | Not given
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| Based in | GB
| US
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| Pricing model | Not given
| Paid
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| Pricing | Free plan: $0, up to five active documents, documents up to 4 MB, 1 GB storage, last ten versions restorable, invite up to ten people per document. Pro plan: $10 USD per month (billed as $120 per year) or $12 USD per month (billed monthly), unlimited active documents, documents up to 16 MB, 50 GB st
| 43¢ per Reading. First 3 Readings free. Prepaid balance, stops at zero.
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| Key features | - Publish HTML or Markdown files with shareable links
- Readers can leave comments and edit text with author permission
- Pull edits and comments back as structured data
- MCP server for agents without file or command access
- Custom share links with passwords and expiry dates on Pro
- Version history with restore capability
- Publish entire folders as sites on Pro plan
- Connect to external APIs and embed sites on Pro
| - Reads individual email history and communication patterns
- Analyzes what has built up between two people over time
- Tracks changes against each person's normal baseline
- Provides color-coded feedback: green, yellow, red across five dimensions
- Predicts likely outcomes with recommended actions
- Includes contextual external factors when provided
- Sealed record system for privacy and historical continuity
- MCP server with Apache 2.0 open source client code
- llms.txt file for agent discovery and integration
- OpenAPI file for tool integration
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| What makes it different | - Documents stay active at stable links across multiple published versions
- Works natively with AI coding agents without requiring manual context management
- CLI does not require Node, Python or other runtime dependencies
- Screenshots in comments are listed by ID and only fetched on request
| - Reads each person individually first, through their own patterns, rather than generic scoring
- Remembers relationship history and shows what changed between readings
- Never returns scores, trait ratings or personality labels on named people
- Simple one-request API integration with no library installation needed
- Privacy-first: sealed records only ARVX can decrypt, keeps nothing about subjects
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 12 ▲ +3 (up) since last check |
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| Trust Flow (Majestic) | 0 | 4 |
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| Citation Flow (Majestic) | 0 | 28 |
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| Referring domains (Majestic) | 0 | 24 |
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Onlay
ARVX