Infraxa: The Infrastructure Layer for Intelligent Agents
Building the Complete Stack for Autonomous AI Systems
1. Abstract
Infraxa is evolving from an AI Gateway into a comprehensive infrastructure layer for intelligent agents. We provide the complete stack that AI agents need to operate autonomously: compute access, data intelligence, financial primitives, and research capabilities.
Our platform now includes:
- AI Gateway: Unified access to 100+ AI models from major providers
- Vector Database: Scalable, tiered vector storage with billing enforcement
- Deep Research Agent: Multi-source research with payment-gated access
- Token Swap: Low-fee DEX aggregator for autonomous agent transactions
- Agent Dashboard: Management interface for AI agent deployments
We're building the infrastructure that enables AI agents to think, remember, transact, and research—all through a unified, developer-friendly platform.
AI Gateway
Live100+ models, OpenAI-compatible API, competitive pricing
Vector Database
LiveTiered storage, usage-based billing, 21 API endpoints
Research Agent
LiveDeep research with X402 payment protocol, multi-source aggregation
Token Swap
Live0.85% fees, multi-hop routing, built on Meteora
Agent Dashboard
BetaManage deployments, monitor usage, track costs
Payment Facilitator
BetaCrypto payment processing for agent services
2. Vision: Infrastructure for Intelligent Agents
To build the universal infrastructure layer that enables AI agents to operate autonomously—providing compute, memory, financial primitives, and research capabilities in a unified, censorship-resistant platform.
Infraxa envisions a world where:
- AI agents can access any model, store any data, and transact any token through a single platform.
- Developers build agent systems without worrying about infrastructure complexity or vendor lock-in.
- The cost of running intelligent systems is transparent, predictable, and sustainable.
- Agents can autonomously research, decide, and execute—powered by decentralized infrastructure.
3. Problem: Fragmented Agent Infrastructure
Building autonomous AI agents today requires stitching together multiple services:
- Compute Access: Multiple AI providers with different APIs, pricing, and rate limits
- Memory Systems: Separate vector databases with complex setup and scaling
- Financial Primitives: No easy way for agents to transact or manage funds
- Research Capabilities: Limited access to deep research tools for agents
- Integration Complexity: Each service requires separate authentication, billing, and monitoring
Developers need a unified platform that provides everything an AI agent needs to operate autonomously.
4. Solution: The Complete Agent Stack
Infraxa provides the complete infrastructure stack for AI agents through five integrated products:
1. AI Gateway
LiveUnified access to 100+ AI models for agent reasoning and generation.
- OpenAI-compatible API (drop-in replacement)
- GPT-4o, Claude, Gemini, Llama, Grok, and more
- Streaming support for real-time responses
- Image generation with FLUX models
- Competitive pricing with transparent billing
2. Vector Database
LiveScalable vector storage for agent memory and context.
- Tiered pricing (FREE, STARTER, GROWTH, PRO, ENTERPRISE)
- Usage-based billing with enforcement
- Query caching (15-40x speedup)
- 21 API endpoints for full CRUD operations
- Built on Rust for performance
3. Deep Research Agent
LiveMulti-source research capabilities for autonomous agents.
- X402 payment protocol (pay-per-research)
- Aggregates web, academic, and specialized sources
- Structured output for agent consumption
- Solana-based micropayments
- API-first design for agent integration
4. Token Swap
LiveLow-fee DEX aggregator for agent financial operations.
- 0.85% fees (0.25% on USDC pairs)
- Multi-hop routing (any token to any token)
- Built on Meteora DAMM pools
- Non-custodial (user signs all transactions)
- Transparent fee structure
5. Agent Dashboard
BetaUnified management interface for agent deployments.
- Monitor all agent activities in one place
- Track usage across AI, vector DB, research, and swap
- Manage API keys and billing
- Real-time cost tracking and optimization
5. Use Cases: What You Can Build
Autonomous Trading Agents
Agents that research market conditions, make decisions using AI models, store trading history in vector DB, and execute swaps autonomously.
Research Assistants
AI agents that conduct deep research, synthesize findings using LLMs, and store knowledge in vector DB for future queries.
Payment-Gated Services
Services that accept crypto payments, use AI for processing, and manage transactions through the swap infrastructure.
Intelligent Data Pipelines
Agents that ingest data, process with AI models, store embeddings in vector DB, and provide semantic search capabilities.
6. Roadmap
Completed (October - November 2025)
- AI Gateway with 100+ models
- Vector Database with tiered pricing
- Deep Research Agent with X402 payments
- Token Swap with multi-hop routing
- Agent Dashboard (beta)
In Progress (December 2025 - Q1 2026)
- Agent SDK for easy integration
- Decentralized node network for compute
- Enhanced payment facilitator
- Agent marketplace
- Advanced monitoring and analytics
Future (Q2-Q4 2026)
- Multi-chain support
- Agent-to-agent communication protocol
- Decentralized governance
- Advanced security and compliance tools
7. Conclusion
Infraxa is building the complete infrastructure stack for intelligent agents. By providing unified access to compute, memory, financial primitives, and research capabilities, we enable developers to build autonomous AI systems without infrastructure complexity.
Our platform is live in production, serving real users and agents today. This is just the beginning—we're building the foundation for a future where AI agents can operate autonomously, transact freely, and access the intelligence they need to solve complex problems.
Join us in building the infrastructure layer for the intelligent web.
Start Building Today
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