| What it does | The data layer for AI agents
| AI agent orchestration platform that models workflow with triggers, actors, stages, gates, permissions, and outcomes
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| Stage | Startup
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| Founded | 2026
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| Based in | US
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| Pricing model | Paid
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| Pricing | Base: $50/mo for 50,000 points per month. Core: $100/mo for 100,000 points per month. Pro: $250/mo for 250,000 points per month. Ultima: $500/mo for 500,000 points per month. Enterprise: $1000/mo for 1,000,000 points per month. Custom option available for higher volumes. Search costs 5 points per ca
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| Key features | - AI research for structured, cited answers across sources
- AI extraction converts pages to clean JSON without selectors
- 250+ data sources including company registries and business intelligence
- MCP server integration with Claude, OpenAI, and other clients
- REST API for custom agent code
- Web search capability for AI agents
- Points-based pricing model with no per-source fees
- AI research depth tiers from quick lookups to exhaustive investigations
| - Role-based organization with humans or AI agents in any position
- Workflow definitions with triggers, stages, gates, and outcomes
- Agent-agnostic design supporting Claude, Codex, Gemini, and local models
- Scoped credentials with least privilege access per stage
- Deterministic gates for tests, reviews, and approvals
- Audit trail with hash-chained tamper-evident ledger
- Local-first deployment with optional cloud hosting
- Isolated git worktrees for independent work and verification
- Budget tracking and spend monitoring per organization
- Separation of duties enforced in code
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| What makes it different | - Unified API and MCP access to 250+ data sources without stitching scrapers
- Structured, cited answers synthesized from comprehensive source catalog
- No HTML parsing or selector maintenance required for extraction
- One request format for all company intelligence and registry sources
- Points reset monthly with no per-source pricing complexity
| - Orchestration layer that treats work as executable processes rather than remembered habits or wikis
- Roles swappable between humans and AI agents without rewriting workflows
- Credentials and secrets held by infrastructure, never exposed to AI models
- Autonomous AI decision-making within defined stages, deterministic controls at stage boundaries
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 4 ▲ +3 (up) since last check | 24 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 1 | 7 |
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| Citation Flow (Majestic) | 27 | 31 |
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| Referring domains (Majestic) | 61 | 18 |
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