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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.
High-performance open-source vector database for production AI retrieval and RAG, for teams needing scale, hybrid search, or self-hosting.
No public pricing
No public pricing
Free trial available
No public pricing
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
- ✦Hybrid dense and sparse vector search (BM25, SPLADE, miniCOIL)
- ✦Advanced metadata filtering applied during search traversal
- ✦Multivector support for multimodal retrieval
- ✦Reranking with score boosting and late-interaction models (ColBERT, MMR)
- ✦Flexible deployment: cloud, hybrid, private, or edge
- ✦Rust-based engine optimized for low-latency, high-scale search
- →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
- →Building retrieval-augmented generation (RAG) pipelines
- →Powering AI recommendation and semantic search systems
- →Enterprises needing on-prem or hybrid deployment for compliance
- →AI agent platforms needing fast contextual retrieval at scale