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AgentX vs Context.dev (2026)

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

Last updated: July 9, 2026

Quick answer

AgentX and Context.dev are both strong choices, but they fit different needs. Choose AgentX if you mainly need building and orchestrating multi-step ai agent workflows for production applications — its edge is grounds evaluations in real production data rather than synthetic test cases. Choose Context.dev if you 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. AgentX starts at Paid credits available for higher usage and production-scale evaluations; Context.dev starts at approximately $49/month based on usage volume.

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AgentX logo
AgentX

Build, debug, and ship production-ready AI agents faster.

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Context.dev logo
Context.dev

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

PricingFreemium
PricingFreemium
Starts atPaid credits available for higher usage and production-scale evaluations
Starts atapproximately $49/month based on usage volume
Free tierFree tier available with a base credit allocation for building and testing agents
Free tierLimited API calls available on a free plan for testing and evaluation
RatingNot yet rated
RatingNot yet rated
Best forBuilding and orchestrating multi-step AI agent workflows for production applications
Best forBuilding AI agents that require real-time web data as context for reasoning
Key strengthGrounds evaluations in real production data rather than synthetic test cases
Key strengthSingle API eliminates the need to maintain multiple scraping tools or services
Main drawbackCredit-based pricing can become costly as production trace volume scales up
Main drawbackPricing may scale quickly for very high-volume use cases making costs unpredictable

Features compared

AgentX

  • Multi-agent workflow builder for composing complex AI pipelines visually
  • One-click conversion of production traces into evaluation datasets
  • Agent debugging tools that surface failure points in live deployments
  • Credit-based usage model with a free tier for getting started

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

Pros & cons

AgentX

Pros

  • Grounds evaluations in real production data rather than synthetic test cases
  • Significantly speeds up the debug cycle with one-click evaluation set creation
  • Accessible free tier allows developers to explore agent building without upfront cost

Cons

  • Credit-based pricing can become costly as production trace volume scales up
  • Platform is primarily aimed at technical AI engineers, which may limit accessibility for non-developers

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

The verdict

Choose AgentX if

you mainly need to building and orchestrating multi-step ai agent workflows for production applications. Its edge: grounds evaluations in real production data rather than synthetic test cases.

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.

Frequently asked questions

Is AgentX better than Context.dev?

Neither is universally better. AgentX is stronger for building and orchestrating multi-step ai agent workflows for production applications, with an edge in grounds evaluations in real production data rather than synthetic test cases. 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. Pick based on your main task.

Which is cheaper, AgentX or Context.dev?

AgentX starts at Paid credits available for higher usage and production-scale evaluations and Context.dev starts at approximately $49/month based on usage volume. Free tier: AgentX — Free tier available with a base credit allocation for building and testing agents; Context.dev — Limited API calls available on a free plan for testing and evaluation.

What is AgentX best for?

AgentX is best for building and orchestrating multi-step ai agent workflows for production applications, debugging failing agents by analyzing real production traces and generating targeted evaluations, iterating on agent behavior using data-driven evaluation sets derived from actual user interactions.

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.

Do AgentX and Context.dev have free plans?

AgentX: Free tier available with a base credit allocation for building and testing agents. Context.dev: Limited API calls available on a free plan for testing and evaluation. Check each tool's pricing page for current limits, as plans change.