| What it does | AI teammates that do recurring business work with approvals, budgets, and receipts
| AI that reads each person first, knows their normal, and remembers every pair
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| Stage | MVP
| Not given
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| Founded | 2025
| Not given
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| Based in | Not given
| US
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| Pricing model | Freemium
| Paid
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| Pricing | Free: 1,000 credits (one time), no card required. Pro: $29/month with 10,000 credits monthly. Team: $99/month with 35,000 credits monthly. Enterprise: from $1,500/month. Credits cost $0.001 each; typical costs are 6 credits for a chat message, 3 credits for a background task run, 15-60 credits for d
| 43¢ per Reading. First 3 Readings free. Prepaid balance, stops at zero.
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| Key features | - Agents run per task on demand with no servers to manage
- Every tool call is policy-checked with a receipt
- Approvals for third-party reach, deletion, and untrusted content
- Credential vault where the model only sees a handle, never a key
- Sandboxed code execution with deny-all egress by default
- Web chat on every plan; Slack and email on Team plan
- Per-agent budgets with work metered in credits
- Workspace export with activity log on Team and Enterprise plans
| - 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 | - Security and cost controls built in by default, not enterprise add-ons
- Idle agents cost nothing; work runs on demand then stops
- A standing team you can see with receipts for every action
- Built for work you have to answer for with approvals and audits
| - 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) | 19 ▲ +1 (up) since last check | 12 ▲ +3 (up) since last check |
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| Trust Flow (Majestic) | 4 | 4 |
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| Citation Flow (Majestic) | 30 | 28 |
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| Referring domains (Majestic) | 105 | 24 |
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OpenLegion
ARVX