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The algorithm engine for Web3 builders

Integrate powerful AI models that predict the next on-chain or off-chain interaction—in just a few hours. Let’s jump in.

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Render a Feed with the Embed SDK

Learn how to render a dynamic feed using our Embed SDK.

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Render a Feed in a Farcaster Mini-App (React)

Build and deploy a Farcaster mini-app using React.

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Develop AI Agents with Recommendations

Create AI agents that leverage our recommendation engine.

Developer Dashboard

➡️ Farcaster Apis

Beta Limits & Pricing

Why ❜embed?

❜embed — pronounced “embed” and styled with a closing quotation mark — stands for “Embedding People’s Voices.” It’s a reminder of the responsibility we carry in shaping how AI systems influence the flow of information in society.

In the AI space, “embed” also references:

-> embedding: the vector representations of data generated by neural networks,

-> embedded AI: the integration of machine learning directly into software and edge devices.

Which encapsulates our vision perfectly: "empowering people through democratizing access to AI, starting with builders"