Marketplace and runtime for headless, agent-first apps
Stage
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Founded
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Based in
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Pricing model
Freemium
Open source
Pricing
Free plan with 10,000 monthly credits; Starter at $50/month with 40,000 credits; Pro at $500/month with 400,000 credits; Enterprise with custom pricing. Additional pay-as-you-go credits available. Pricing based on a credit system where 1,000 credits equals $1.25.
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Key features
Agentic OCR parsing with semantic understanding for complex document layouts
Support for 130+ file formats including PDFs, Office docs, images, and spreadsheets
Structured data extraction with schema-based, LLM-powered agents
Document classification and splitting based on natural language rules
Enterprise-grade RAG indexing and retrieval pipeline
Handwritten text parsing and structured extraction
Table and chart extraction with structured row and column relationships
Cloud SaaS or VPC deployment with flexible data residency options
Install agent-first apps without graphical interface
Connect via MCP or REST protocols
Browse and install from marketplace
Run apps locally on your server or computer
Share app results between connected agents
Build custom apps using Python, JavaScript or containers
Test improvements before reusing apps
Keep apps private or publish to marketplace
Optional runner to track tasks without model API agent
Linux x86-64 and ARM64 support
What makes it different
4x cheaper than frontier labs, 5x more accurate than other APIs
Auto-correction loops with recursive checks that detect and fix errors automatically
Task-specific specialist agents that route content to the right expert
HIPAA, GDPR, and SOC2 compliant with enterprise-grade security
Data stays in your own environment
Add tools without changing agent harness
Multiple agents share results in same collection
Agents can create tools by automating repeated work