BlockRun provides a routing and payment infrastructure for AI agents, enabling per-call and per-token payments for accessing a wide range of AI models and data services. The platform eliminates the need for API keys, subscriptions, or minimum spend commitments, instead settling payments in USDC on the Base and Solana blockchains. It is designed as a single endpoint that routes requests to various AI models, including those for chat, image, video, music, and voice generation, as well as live data, premium tools, and sandboxed compute environments.
Users can interact with models for tasks such as chat, image editing, video generation, music composition, and text-to-speech. In addition to AI models, BlockRun offers integrations for on-chain RPC across 40+ blockchains, web search, prediction markets, DEX trading, voice calls, and crypto intelligence. The platform also provides a secure, sandboxed runtime for code execution and supports onboarding of new data sources, including on-chain and financial feeds.
BlockRun is accessible through open-source SDKs available on npm and PyPI, and can be used in environments such as the terminal with tools like BlockRun MCP, OpenClaw (ClawRouter), and Franklin Agent. The payment process leverages the x402 protocol for authenticated, on-chain transactions, with costs based on provider rates plus a 5% margin at settlement. Users can try the service for free without a card or signup, and there is no requirement for accounts or KYC, supporting pseudonymous use by default.
For enterprise users, BlockRun offers features such as budget controls, usage analytics, team management, and dedicated support, including SSO, role management, audit logs, and per-key spend caps. The platform emphasizes privacy, with no data retention or training beyond the immediate request. BlockRun positions itself as a foundational payment and routing layer for AI, facilitating autonomous agent transactions across a diverse ecosystem of AI and data services.
In the Frameworks & SDKs space, blockrun-llm takes a focused approach. Enabling developers to access and pay for AI model inference (LLM, image, video, music, voice) on demand using blockchain micropayments. It is built as an open-source project for developers building AI-powered apps with blockchain payments. blockrun-llm is open source under the MIT license. The product ships for the web, the command line, and API.
BlockRunAI builds and maintains blockrun-llm, and the product first shipped in 2026. Development happens publicly on GitHub with 55 commits in the last 90 days. Key capabilities include Pay-per-request AI, LLM integration, and image generation.
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