API Docs

Solutions
Use cases
Activate new wallets
First swap, bet, follow, or deposit
Personalize discovery
Wallet-specific ranking everywhere
Reactivate dormant users
Bring wallets back in time to act
Grow transaction volume
Feeds and alerts as revenue surfaces
Retain high-value users
Catch at-risk traders early
Power internal ML
Wallet intelligence for your models
Built for
Prediction Markets
Rank markets per wallet
Onchain Finance
Tokens, pools, and perps that fit
Exchanges & Wallets
A personalized home screen
Fintechs & NeoBanks
Behavioral intelligence, no ML build
FROM THE BLOG
Personalized Prediction Market Recommendations
62% weekly churn, 2–3% D30 retention. How personalized discovery closes the gap.
Products
APIs
Search API
Candidate generation across indices
Features API
Wallet-item signals and embeddings
Rank API
Trained-model reranking
Feed API
Personalized feeds in production
Notifications API
Signal-based reactivation streams
Data Ingestion
Data Ingestion API
Bring your own items, users, and events
Console
Algo Console
Build, preview, and deploy ranking

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API Docs

Solutions
Use cases
Activate new wallets
First swap, bet, follow, or deposit
Personalize discovery
Wallet-specific ranking everywhere
Reactivate dormant users
Bring wallets back in time to act
Grow transaction volume
Feeds and alerts as revenue surfaces
Retain high-value users
Catch at-risk traders early
Power internal ML
Wallet intelligence for your models
Built for
Prediction Markets
Rank markets per wallet
Onchain Finance
Tokens, pools, and perps that fit
Exchanges & Wallets
A personalized home screen
Fintechs & NeoBanks
Behavioral intelligence, no ML build
FROM THE BLOG
Personalized Prediction Market Recommendations
62% weekly churn, 2–3% D30 retention. How personalized discovery closes the gap.
Products
APIs
Search API
Candidate generation across indices
Features API
Wallet-item signals and embeddings
Rank API
Trained-model reranking
Feed API
Personalized feeds in production
Notifications API
Signal-based reactivation streams
Data Ingestion
Data Ingestion API
Bring your own items, users, and events
Console
Algo Console
Build, preview, and deploy ranking

Blog

Pricing

Jobs

Login

Back

Case study

Guide

Case study

Spotlight: Dash - a personalized video feed on Farcaster

Discover how Ben Baessler leveraged Embed’s Feed Builder to rapidly create Dash, a personalized, video-focused mini app for Farcaster. This guide details Ben’s exact feed configuration—candidate generation, ranking, visibility filtering, and feed construction—showcasing how quickly and effectively developers can launch tailored experiences using Embed.

Jun 4, 2025

Announcement

Case study

A personalized onchain feed, powered by ❜embed, lands inside Coinbase Wallet

The Base team just launched the new Coinbase Wallet app in limited beta, introducing a built-in social feed powered by ❜embed.

May 2, 2025

Case study

How AI agents can get smarter with Embed

Zo.me is building a marketplace for ai agents that feel personal, contextual, and action-ready. In this post, we explore how their farcaster discovery agent uses the ’mbd semantic search api to deliver tailored insights from onchain social data—showcasing the future of agentic interfaces powered by personalization and retrieval.

Apr 10, 2025

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Explore

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Contact Us

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X

Farcaster

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Lens

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© 2026 ZKAI Labs. All rights reserved.