
Developed Octomil, an on-device machine learning inference platform, as part of the coinbase/x402 repository, focusing on API development and full stack engineering using TypeScript. The platform enables agents to access over 60 ML models, including MLX, llama.cpp, and ONNX, through a pay-per-use billing model integrated with x402-gated MCP servers and batch settlement via settle402. This approach reduces latency and data transfer while improving privacy and scalability for developers. Public documentation and deployment tooling were provided to streamline onboarding, and the work established a foundation for usage-based revenue and privacy-preserving ML tooling within the broader x402 ecosystem.
March 2026 monthly summary: Delivered Octomil, an on-device ML inference platform integrated into the coinbase/x402 ecosystem, enabling agents to call ML tools under a pay-per-use model. Octomil is exposed through an x402-gated MCP server with batch settlement via settle402, and supports auto engine selection across 60+ models (MLX, llama.cpp, ONNX) for optimal performance. Initial endpoints and tooling were provisioned, and public docs are available at octomil.com with deployment guidance (octomil mcp serve --x402). This implementation reduces latency and data transfer, improves privacy, and opens a scalable usage-based revenue stream. The work involved ecosystem onboarding, API design, and billing integration to enable rapid adoption by agents and developers.
March 2026 monthly summary: Delivered Octomil, an on-device ML inference platform integrated into the coinbase/x402 ecosystem, enabling agents to call ML tools under a pay-per-use model. Octomil is exposed through an x402-gated MCP server with batch settlement via settle402, and supports auto engine selection across 60+ models (MLX, llama.cpp, ONNX) for optimal performance. Initial endpoints and tooling were provisioned, and public docs are available at octomil.com with deployment guidance (octomil mcp serve --x402). This implementation reduces latency and data transfer, improves privacy, and opens a scalable usage-based revenue stream. The work involved ecosystem onboarding, API design, and billing integration to enable rapid adoption by agents and developers.

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