Agentilix vs The new Firecrawl /search
Comprehensive feature analysis, ratings breakdown, platform compatibility, and community review comparison.
Agentilix
100 AI agents searching, scraping, & working the web for you
Detailed Feature Comparison Matrix
Compare Other Tools| Dimension | Agentilix |  The new Firecrawl /search |
|---|---|---|
| Primary Category | Developer Tools | Developer Tools |
| Community Rating | No ratings(0 reviews) | 5.0(15 reviews) |
| Community Upvotes | 6 votes | 268 votes |
| Supported Platforms | Web | Web |
| Tags & Focus | #Artificial Intelligence#Developer Tools#Marketing automation | #Developer Tools#Search |
| Maker / Company | Independent Developer | Independent Developer |
| Platform Verification | Community Listing | Community Listing |
About Agentilix
Agentilix is a powerful developer-focused AI tool designed to automate web-based tasks at scale. With the tagline "100 AI agents searching, scraping, & working the web for you," it provides developers with a streamlined, unified API to execute complex digital workflows without building custom infrastructure from scratch.
The platform enables users to search the live web, scrape entire websites, and efficiently find and clean contact data. Additionally, developers can deploy fleets of visual browser agents capable of autonomously completing multi-step tasks. Built for use cases across developer tools, artificial intelligence, and marketing automation, Agentilix simplifies data acquisition and web interaction workflows.
Pros of Agentilix
- Unified single API for live web searching and site scraping
- Finds and cleans contact data automatically
- Launches fleets of visual browser agents for multi-step tasks
- Ideal for developer tools, AI workflows, and marketing automation
Cons of Agentilix
- Geared primarily toward developers and technical users
- Limited public information available regarding specific pricing tiers
- Relies on external web structures which can occasionally shift
Frequently Asked Questions
What is Agentilix?
Agentilix is a developer tool and AI platform that provides a single API to search the live web, scrape entire websites, find and clean contacts, and deploy fleets of visual browser agents for multi-step tasks.
Who is Agentilix built for?
Agentilix is primarily built for developers and growth teams looking to leverage artificial intelligence for marketing automation, web scraping, and multi-step browser workflows.
What core capabilities does the Agentilix API provide?
The API allows users to search the live web, scrape full sites, find and clean contact lists, and run visual browser agents to execute complex online tasks.
About The new Firecrawl /search
The new Firecrawl /search is a specialized Search API built specifically to help AI agents ground themselves in the web efficiently and accurately. Traditionally, enabling AI agents to read full pages for every query burns through context windows and tokens rapidly. Firecrawl solves this by training a custom model that extracts only the specific excerpts from each search result that best answer the user's query.
By providing highly relevant context without the bloat, the tool outperforms processing full pages while using 10x fewer tokens. Notably, on SimpleQA benchmarks, AI agents utilizing Firecrawl /search achieve an impressive score of 94.7%, outperforming competing providers. This feature is live today on every /search call for developers building advanced AI systems.
Pros of The new Firecrawl /search
- Uses 10x fewer tokens compared to processing full web pages
- Delivers highly relevant context and excerpts tailored to specific queries
- Achieves a top-tier 94.7% score on SimpleQA benchmarks for AI agents
- Seamlessly integrated into every /search call
Cons of The new Firecrawl /search
- Primarily optimized for AI agents and developer workflows rather than casual human browsing
- Relies entirely on search-and-excerpt models which may require full-page scraping for edge cases not covered by highlights
Frequently Asked Questions
What is The new Firecrawl /search?
It is a specialized Search API designed for AI agents. Instead of returning full pages that consume tokens quickly, it uses a trained model to return precise excerpts that best answer a given query.
How does Firecrawl /search save tokens?
It uses 10x fewer tokens than traditional methods by extracting only the most relevant content and context excerpts from each search result rather than forcing your AI agent to read full web pages.
How well does it perform on benchmarks?
On SimpleQA, AI agents utilizing Firecrawl /search score 94.7%, which ranks higher than any other competing provider.