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Context.dev vs Kastor (2026)

A side-by-side comparison of Context.dev and Kastor on pricing, features, and fit, so you can decide which is right for you.

Last updated: July 16, 2026

Quick answer

Context.dev and Kastor are both strong choices, but they fit different needs. Choose Context.dev if you mainly need building ai agents that require real-time web data as context for reasoning — its edge is single api eliminates the need to maintain multiple scraping tools or services. Choose Kastor if you need building multi-step research assistants that delegate subtasks to specialized sub-agents — its edge is completely free and open-source with no licensing fees or usage limits. Context.dev starts at approximately $49/month based on usage volume; Kastor starts at Free.

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Context.dev logo
Context.dev

One API to scrape, enrich, and extract web data instantly.

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Kastor logo
Kastor

Build and coordinate powerful multi-agent AI systems with ease.

PricingFreemium
PricingFree
Starts atapproximately $49/month based on usage volume
Starts atFree
Free tierLimited API calls available on a free plan for testing and evaluation
Free tierFully free and open-source
RatingNot yet rated
RatingNot yet rated
Best forBuilding AI agents that require real-time web data as context for reasoning
Best forBuilding multi-step research assistants that delegate subtasks to specialized sub-agents
Key strengthSingle API eliminates the need to maintain multiple scraping tools or services
Key strengthCompletely free and open-source with no licensing fees or usage limits
Main drawbackPricing may scale quickly for very high-volume use cases making costs unpredictable
Main drawbackRequires developer expertise to set up and configure compared to managed platforms

Features compared

Context.dev

  • Unified scraping API that handles proxy rotation and bot bypass automatically
  • Structured data extraction from any public web page or source
  • Data enrichment capabilities to add context and metadata to raw results
  • Scalable infrastructure designed to support high-volume API requests without downtime

Kastor

  • Multi-agent orchestration framework for coordinating multiple AI agents simultaneously
  • Open-source codebase with full transparency and community-driven development
  • Extensible architecture supporting custom LLM backends and tool integrations
  • Agent communication and context-sharing protocols for collaborative task execution

Pros & cons

Context.dev

Pros

  • Single API eliminates the need to maintain multiple scraping tools or services
  • Developer-friendly design reduces time-to-integration for engineering teams
  • Handles anti-bot measures and proxy rotation out of the box saving significant effort

Cons

  • Pricing may scale quickly for very high-volume use cases making costs unpredictable
  • Limited transparency around data freshness guarantees and coverage for niche or paywalled sites

Kastor

Pros

  • Completely free and open-source with no licensing fees or usage limits
  • Gives developers full control over agent logic, memory, and integrations
  • Active open-source community enables rapid iteration and community-contributed extensions

Cons

  • Requires developer expertise to set up and configure compared to managed platforms
  • Documentation and support may be limited compared to commercial multi-agent frameworks

The verdict

Choose Context.dev if

you mainly need to building ai agents that require real-time web data as context for reasoning. Its edge: single api eliminates the need to maintain multiple scraping tools or services.

Choose Kastor if

you mainly need to building multi-step research assistants that delegate subtasks to specialized sub-agents. Its edge: completely free and open-source with no licensing fees or usage limits.

Frequently asked questions

Is Context.dev better than Kastor?

Neither is universally better. Context.dev is stronger for building ai agents that require real-time web data as context for reasoning, with an edge in single api eliminates the need to maintain multiple scraping tools or services. Kastor is stronger for building multi-step research assistants that delegate subtasks to specialized sub-agents, with an edge in completely free and open-source with no licensing fees or usage limits. Pick based on your main task.

Which is cheaper, Context.dev or Kastor?

Context.dev starts at approximately $49/month based on usage volume and Kastor starts at Free. Free tier: Context.dev — Limited API calls available on a free plan for testing and evaluation; Kastor — Fully free and open-source.

What is Context.dev best for?

Context.dev is best for building ai agents that require real-time web data as context for reasoning, automating lead enrichment pipelines by pulling company and contact data from the web, powering competitive intelligence tools with up-to-date pricing and product information.

What is Kastor best for?

Kastor is best for building multi-step research assistants that delegate subtasks to specialized sub-agents, automating complex workflows where multiple ai agents must collaborate and hand off results, prototyping agentic pipelines for startups or research teams without incurring api or platform costs.

Do Context.dev and Kastor have free plans?

Context.dev: Limited API calls available on a free plan for testing and evaluation. Kastor: Fully free and open-source. Check each tool's pricing page for current limits, as plans change.