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Kiro AI logo
Kiro AI
✓ verifiedFreemium

Kiro is a spec-driven agentic coding tool for IDE, CLI and web that turns prompts into specs and catches bugs with property-based tests.

3.8M visits/mo
Runcell - Jupyter AI Agent logo
Runcell - Jupyter AI Agent
✓ verifiedFreemium

Jupyter-native AI agent that remembers a data project across sessions and reads chart/plot outputs, not just code.

170K visits/mo5.5K saves
Verdent logo
Verdent
✓ verifiedFreemium

Credit-based AI coding agent that builds full applications from plain-language instructions, including backend, billing, and admin features.

1.0M visits/mo39K saves
Capsolver logo
Capsolver
✓ verifiedPaid

Automatic AI CAPTCHA solver for reCAPTCHA and Cloudflare; high traffic but bypass niche.

281K visits/mo787 saves
exa.ai logo
exa.ai
✓ verifiedFreemium

Search, crawling and research API built for AI agents, with token-efficient results and structured web-data enrichment.

761K visits/mo1.7K saves
Pricing
Free: $0/mo (50 credits)
Pro: $20/user/mo (1,000 credits)
Pro+: $40/user/mo (2,000 credits)
Pro Max: $100/user/mo (5,000 credits)
Power: $200/user/mo (10,000 credits)

No public pricing

Starter: $19/mo (480 credits/mo including bonus)
Pro: $59/mo (1,500 credits/mo including bonus)
Max: $179/mo (4,500 credits/mo including bonus)
Teams: $20/user/mo (480 credits/user/mo)

Free trial available

No public pricing

Free: $0 (20,000 requests/mo)
Search: $7/1k requests
Contents: $1/1k pages
Deep Search: $12-15/1k requests
Monitors: $15/1k requests
Agent: $0.012-$1.00/run
Core features
  • Spec-driven development (requirements, design, tasks)
  • Parallel agents, local or cloud
  • Property-based and correctness testing
  • Works in IDE, CLI, web and mobile
  • Multiple models (Claude, open-weight, Auto)
  • Headless CLI for CI/CD
  • Context from tools like Figma and Terraform
  • Cross-session project memory recalling prior decisions and state
  • Autonomous execution of long, multi-step notebook tasks
  • Reads cell outputs (plots, tables, metrics), not just code
  • In-notebook cell-level assistance and error fixing
  • Installs directly into existing JupyterLab via pip, no new editor
  • Concept explanations with runnable example cells
  • Builds complete apps (auth, storage, payments, admin) from natural-language prompts
  • Runs on top of multiple frontier coding models
  • Retains full project context across sessions for incremental feature additions
  • Remote task submission via Slack/Telegram messaging
  • 'Eco Mode' for lower-cost usage without consuming credits
  • VS Code and JetBrains IDE integrations plus a desktop app
  • Automatic CAPTCHA solving
  • AI-powered automation
  • Image to text conversion
  • Browser extensions for CAPTCHA solving
  • Multi-language support
  • Web search API tuned for agents
  • Full-page contents with token-efficient highlights
  • Asynchronous agents for deep research and enrichment
  • Structured outputs with grounded citations
  • Web monitors that track new events on a schedule
  • Zero data retention and SOC 2 Type II controls
Use cases
  • Turning prompts into maintainable, spec-matched code
  • Catching bugs unit tests miss
  • Reviewing PRs and fixing bugs in CI/CD
  • Data scientists running multi-week model iteration projects
  • Domain experts (e.g. risk/fintech) who know the problem but not deep Python
  • Researchers wanting an agent that remembers project context across days
  • Analysts needing help understanding unfamiliar algorithms or libraries
  • Solo founders building a launchable product without a dev team
  • Developers offloading multi-step feature builds to an autonomous agent
  • Teams wanting a shared coding agent with pooled usage billing
  • Web testing
  • Social media automation
  • Data collection
  • Market research
  • SEO optimization
  • Online shopping automation
  • Online gaming
  • Financial services automation
  • Give coding agents current docs and repo context
  • Power chatbots with real-time web answers
  • Enrich company and people data at scale
  • Monitor the web for fresh events
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