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Automatic AI CAPTCHA solver for reCAPTCHA and Cloudflare; high traffic but bypass niche.
Cloud API that auto-solves reCAPTCHA, Cloudflare and other CAPTCHAs at ~99% success, pay-per-solve for automation and scraping.
Managed ClickHouse platform giving developers hosted ingestion and query APIs to ship real-time analytics products fast.
Open-source data-movement platform now adding a context/action layer for AI agents; 600+ connectors and flexible pricing.
Human-friendly API testing client for terminal, desktop and web, known for readable syntax; the CLI is open source.
No public pricing
No public pricing
- ✦Automatic CAPTCHA solving
- ✦AI-powered automation
- ✦Image to text conversion
- ✦Browser extensions for CAPTCHA solving
- ✦Multi-language support
- ✦API solving for reCAPTCHA, Cloudflare, GeeTest, AWS WAF and more
- ✦Up to 99% success rate
- ✦Built-in proxies included
- ✦SDKs for C#, Python, JS, Go, PHP
- ✦Chrome and Firefox extensions
- ✦Pay only for solved CAPTCHAs
- ✦Affiliate and volume-bonus programs
- ✦Managed, hosted ClickHouse database
- ✦Sub-second SQL query APIs
- ✦Kafka and other data connectors
- ✦Safe, zero-downtime schema migrations
- ✦Git-based branching with zero-copy prod data
- ✦SOC 2 Type II enterprise security
- ✦600+ data connectors
- ✦ELT replication and CDC
- ✦Open-source and managed cloud options
- ✦Airbyte Agents context store (MCP/SDK/CLI)
- ✦Capacity- and volume-based pricing
- ✦Governance: SSO, RBAC, encryption
- ✦Human-friendly command-line HTTP client
- ✦Web and desktop GUI apps
- ✦Simple, readable request syntax
- ✦Request export/import and history
- ✦Path parameters and 'copy as command'
- ✦Open-source terminal version
- →Web testing
- →Social media automation
- →Data collection
- →Market research
- →SEO optimization
- →Online shopping automation
- →Online gaming
- →Financial services automation
- →Automating CAPTCHA-gated web scraping
- →Bypassing anti-bot challenges in bots and apps
- →Integrating captcha solving into software
- →Building real-time analytics dashboards
- →Powering in-app usage or event analytics
- →Streaming Kafka topics into query-ready tables
- →Letting AI coding agents build and deploy analytics
- →Building data pipelines to warehouses
- →Syncing SaaS data for analytics
- →Giving AI agents live business context
- →Testing REST APIs
- →Sending and inspecting HTTP requests
- →Debugging web services
- →Sharing API requests across a team
