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Developer API suite (Reader, Embeddings, Reranker) that turns web content into LLM-ready data for search and RAG.
B2B sales research and data enrichment inside spreadsheets.
Demand and competitor intelligence that mines Reddit, reviews, and the web for buyer intent and switching signals.
Web-data platform for finance whose AI agents build deterministic, self-healing scraping pipelines from plain-language requests.
Gmail add-on using GPT filters to auto-label unwanted email and manage senders, without reading message bodies.
No public pricing
No public pricing
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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
- ✦AI-powered text transformation, extraction, and summarization in Google Sheets and Excel
- ✦Automated web scraping and deep B2B research
- ✦CRM data enrichment and sales lead validation
- ✦Custom AI models and pre-built templates for data extraction
- ✦Scalable cloud infrastructure for large-volume data processing
- ✦Integration with CRMs (e.g., HubSpot) and REST API
- ✦Market-leading accuracy for data results
- ✦Unlimited data import and export
- ✦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
- ✦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
- ✦GPT-powered custom email filters
- ✦Install public filter categories
- ✦One-click category labeling
- ✦Sender allow/block management
- ✦Privacy-first: email content not read
- ✦Labels instead of deleting
- →Ground LLMs with clean web content
- →Build semantic and RAG search
- →Rerank retrieved results
- →Give AI agents live web access
- →Analyzing sales lists and generating keywords/SEO content
- →Automating B2B research and CRM data enrichment
- →Extracting company data, buying signals, and custom insights from websites
- →Building prospect databases and validating sales leads
- →Transforming messy text and unpacking survey responses
- →Drafting emails and outreach
- →Processing thousands of URLs simultaneously for research
- →Tracking competitor changes and complaints
- →Finding high-intent buyers on Reddit
- →Turning discussions into ready-to-post content
- →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
- →Cut inbox clutter from unwanted emails
- →Auto-categorize incoming mail
- →Block persistent senders
- →Reduce reliance on unsubscribing