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Developer API suite (Reader, Embeddings, Reranker) that turns web content into LLM-ready data for search and RAG.
Web-data platform for finance whose AI agents build deterministic, self-healing scraping pipelines from plain-language requests.
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.
Demand and competitor intelligence that mines Reddit, reviews, and the web for buyer intent and switching signals.
No public pricing
No public pricing
Free trial available
No public pricing
No public pricing
- ✦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
- ✦Plain-language to deterministic scraping pipelines
- ✦Self-healing code that auto-detects and fixes breaks
- ✦Source-grounded, validated outputs
- ✦Extraction from web, PDFs, images and spreadsheets
- ✦Delivery to S3, Snowflake, BigQuery and via MCP
- ✦Real-time website monitoring and alerts
- ✦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
- ✦Graded weekly competitor intelligence briefs
- ✦Live buyer-intent and complaint feed
- ✦Reddit lead and subreddit discovery
- ✦AI content writer from trending discussions
- ✦MCP integration and Chrome extension
- →Ground LLMs with clean web content
- →Build semantic and RAG search
- →Rerank retrieved results
- →Give AI agents live web access
- →Building financial web datasets at scale
- →Self-serve data sourcing for analysts
- →Monitoring websites for market-moving changes
- →Extracting data from filings and documents
- →Replacing brittle in-house scrapers
- →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
- →Tracking competitor changes and complaints
- →Finding high-intent buyers on Reddit
- →Turning discussions into ready-to-post content