| What it does | The evidence layer for AI-agent actions
| 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 | US
| US
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| Pricing model | Freemium
| Paid
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| Pricing | Developer: Free with no time limit (1,000 verified actions/month). Builder (Founding): $59/month for first 12 months, then $99/month (5,000 verified actions/month, then 2.5¢ per action). Team: $299/month (25,000 verified actions/month, then 1.5¢ per action). Growth: $999/month (100,000 verified acti
| 43¢ per Reading. First 3 Readings free. Prepaid balance, stops at zero.
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| Key features | - Records agent actions through API or OpenTelemetry spans
- Verifies actions against systems of record including Stripe, Shopify, Salesforce, HubSpot, Zendesk, Intercom and Coinbase
- Integrates with agent frameworks: LangGraph, CrewAI, OpenAI Agents SDK, Pydantic AI
- Supports workflow runtimes: Temporal and Inngest
- Action contracts define verification rules with limits and required effects
- Settlement window re-checks verify actions again at end of settlement window
- Webhooks and Slack/PagerDuty alerts on verdict results
- Public hash verification allows verifying verdicts without an account
| - 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 | - Verdicts come from deterministic rules, not language models
- Never blocks actions; verifies after the fact only
- Takes no payment from vendors; paid only by customer
- Tested against real models: Claude, GPT and Gemini
- Priced by verified actions, not seats or agent claims
| - 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) | 17 | 28 |
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| Referring domains (Majestic) | 1 | 24 |
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CommitLayer
ARVX