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Developer API suite (Reader, Embeddings, Reranker) that turns web content into LLM-ready data for search and RAG.
AgentGPT/Reworkd automates web data extraction at scale; real adoption.
Managed service that finds and removes personal data from broker sites and public records, aimed at executives, families and firms.
Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
No-code builder for custom ChatGPT-style website chatbots trained on your data for support, lead gen and engagement.
No public pricing
No public pricing
No public pricing
Free trial available
- ✦Reader API converts URLs to Markdown
- ✦Multimodal multilingual embedding models
- ✦Reranker for stronger search relevance
- ✦Web search endpoint returning SERP data
- ✦MCP server for use inside LLMs
- ✦Native inference inside Elasticsearch
- ✦Automated web data extraction
- ✦AI-powered code generation
- ✦Self-healing scrapers
- ✦Deep analytics dashboard
- ✦Personal data discovery across broker sites
- ✦Ongoing removal and re-exposure prevention
- ✦Continuous digital-footprint monitoring
- ✦Organization and executive protection plans
- ✦Included identity-theft insurance
- ✦Persistent, structured memory built as a knowledge graph
- ✦Sub-300ms hybrid retrieval (RAG) with reranking
- ✦Native filesystem mount for agent memory access
- ✦Connectors to Slack, Notion, Drive, Gmail, GitHub, S3
- ✦Automatic extraction from PDFs, images, and audio
- ✦User profile and behavior tracking across sessions
- ✦No-code chatbot creation
- ✦Train on files/URLs/Notion/Zendesk
- ✦Website embed widget
- ✦Conversation analytics
- ✦~95 language support
- ✦Custom branding
- →Ground LLMs with clean web content
- →Build semantic and RAG search
- →Rerank retrieved results
- →Give AI agents live web access
- →Extracting data from government regulation websites
- →Scraping company data from Indeed or Y Combinator
- →Monitoring changes on websites
- →Downloading regulation PDFs
- →Removing personal info from the internet
- →Protecting executives from targeted attacks
- →Reducing family privacy exposure
- →Ongoing identity monitoring
- →Developers adding long-term memory to AI agents
- →Teams building agents that need to sync with existing tools
- →Individuals wanting one memory layer shared across multiple AI assistants
- →Website customer support
- →Lead generation
- →FAQ and audience engagement