Software Alternatives, Accelerators & Startups

Agent-Ready.dev VS Split Fee

Compare Agent-Ready.dev VS Split Fee and see what are their differences

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Agent-Ready.dev logo Agent-Ready.dev

Score any website 0โ€“100 for how well AI agents and LLMs can read and use it - with a fix for every issue.

Split Fee logo Split Fee

Split Fee connects UK recruitment agencies to collaborate on permanent placements. Share candidates and vacancies, match automatically, and split the fee.
  • Agent-Ready.dev Home page
    Home page //
    2026-06-16
  • Agent-Ready.dev Scan heading
    Scan heading //
    2026-06-16
  • Agent-Ready.dev Excellent result
    Excellent result //
    2026-06-16
  • Agent-Ready.dev Needs improvement
    Needs improvement //
    2026-06-16

Agent Ready is a free agent-readability checker for websites. Enter any public URL and it returns a 0โ€“100 score for how well AI agents, crawlers, and LLMs can understand and act on your site - plus a plain-English fix for every issue it finds.

It validates against the standards that govern the agentic web: โ€ข Vercel Agent Readability Spec - semantic HTML, metadata, structured data, content clarity โ€ข llmstxt.org - llms.txt and llms-full.txt discovery files โ€ข Agent-protocol manifests - MCP server cards, A2A, agents.json, agent-permissions.json, NLWeb, x402, and more

Results are grouped into Site, Page, llms.txt, and Protocol checks, each with a clear pass/fail and a remediation step, so developers can ship changes and re-scan immediately. A corpus benchmark shows how your site ranks against every other site scanned, and every scan gives you a shareable result URL and an embeddable SVG score badge.

Agent Ready is available wherever you work: web app, REST API, MCP server (Claude Desktop, Cursor, Cline, Goose, Continue), CLI (npm: agent-ready-scanner), client SDKs (npm + PyPI: agent-ready-client), and a browser extension for Chrome, Edge, and Firefox.

Freemium: scan free with no signup (3 scans/30 days anonymous, 10 signed in, 25 pages each). Pro ($19/month) adds deeper scans, history, monitoring, and API/MCP access. Built for developers, technical founders, and DevRel teams.

  • Split Fee Login screen
    Login screen //
    2026-03-16
  • Split Fee Dashboard page
    Dashboard page //
    2026-03-16

Split Fee is a platform for UK recruitment agencies to collaborate on permanent placements.

Every agency has candidates they can't place and vacancies they can't fill. Another agency almost certainly has what you need โ€” but finding them, trusting them, and making the collaboration work has always been the hard part.

Split Fee solves this. Post your candidates and vacancies to the platform. Our matching algorithm finds opportunities across every agency on the network โ€” by skills, location, salary, and seniority. Candidate and client data stays anonymised until both sides agree to work together. When a placement is made, we handle the fee split and invoicing automatically.

No more posting in social media groups and hoping someone replies. No more sharing candidate details with strangers on trust alone. No more chasing invoices from agencies you barely know.

45% for you. 45% for them. 10% platform fee โ€” only when a placement is made.

Half of a placement fee is infinitely better than none of it.

Agent-Ready.dev

$ Details
freemium $19.0 / Monthly (Pro tier)
Platforms
Web Google Chrome Firefox Edge REST API Node JS Model Context Protocol Terminal
Release Date
2026 April

Split Fee

Pricing URL
-
$ Details
freemium ยฃ97.0 / Monthly
Platforms
-
Release Date
2026 March
Startup details
Country
United Kingdom
Founder(s)
Abbie Taylor
Employees
1 - 9

Agent-Ready.dev features and specs

  • Agent-readiness score
    0โ€“100 score per scan with rating bands
  • Standards validated
    Vercel Agent Readability Spec, llmstxt.org, agent-protocol manifests
  • Check categories
    Site, Page, llms.txt, and Protocol checks with per-issue fixes
  • Pages per scan
    Up to 25 (Free), up to 250 (Pro)
  • Corpus benchmark
    Percentile ranking against every site scanned
  • Shareable Results
    Yes - high-entropy share URL per scan
  • Score badge
    Embeddable SVG badge
  • Access surfaces
    Web, REST API, MCP server, CLI, client SDKs, browser extension
  • No signup to scan
    Yes - anonymous scanning, no API key

Split Fee features and specs

No features have been listed yet.

Analysis of Agent-Ready.dev

Overall verdict

  • Agent-Ready.dev appears to be a niche developer-focused resource centered on preparing websites, APIs, or tools for AI agent interaction, but without verified public data on performance, reviews, or company backing, it's difficult to fully confirm its quality or reliability.

Why this product is good

  • Focuses on the emerging niche of AI agent compatibility, which is increasingly relevant
  • Likely provides specialized guidance or tools for developers adapting to agent-driven web interactions
  • May offer early-mover advantage insights for a growing technical trend

Recommended for

  • Developers preparing websites or APIs for AI agent accessibility
  • Technical teams exploring agent-computer interaction standards
  • Early adopters interested in the AI agent ecosystem

Analysis of Split Fee

Overall verdict

  • Split Fee (split-fee.com) appears to be a niche referral/fee-splitting platform aimed at connecting professionalsโ€”likely in real estate, legal, or brokerage-type industriesโ€”to share commissions on referred deals. Without independent reviews or verified track record widely available, it should be approached with due diligence, but the concept itself addresses a real market need for structured referral partnerships.

Why this product is good

  • Provides a structured framework for professionals to formally split fees or commissions on referred business
  • Can help expand referral networks beyond one's immediate contacts or region
  • May reduce disputes over referral agreements by formalizing terms upfront
  • Potentially useful for professionals who receive occasional out-of-market or out-of-expertise leads they want to monetize

Recommended for

  • Real estate agents or brokers looking to refer out-of-area clients
  • Legal or financial professionals wanting to formalize referral fee arrangements
  • Freelancers or consultants who want to monetize leads outside their expertise
  • Small firms seeking to expand reach through partner referral networks

Category Popularity

0-100% (relative to Agent-Ready.dev and Split Fee)
Developer Tools
100 100%
0% 0
SaaS
0 0%
100% 100
SEO
100 100%
0% 0
Data-Driven Recruiting
0 0%
100% 100

Questions & Answers

As answered by people managing Agent-Ready.dev and Split Fee.

Which are the primary technologies used for building your product?

Agent-Ready.dev's answer

Next.js (App Router) and TypeScript, Tailwind CSS with shadcn/ui, Postgres for scan storage, deployed on Vercel. Standards/protocols implemented include the Vercel Agent Readability Spec, llmstxt.org, Model Context Protocol (MCP), A2A, agents.json, NLWeb, and x402.

Split Fee's answer:

A next-generation serverless platform, built for AWS.

What makes your product unique?

Agent-Ready.dev's answer

Agent Ready is the only readiness checker grounded in the full set of agentic-web standards at once - the Vercel Agent Readability Spec, the llmstxt.org standard, and the major agent-protocol manifests (MCP, A2A, agents.json, NLWeb, x402). Independent scanners score the same site anywhere from 46 to 96 because they disagree on what to check; Agent Ready's value is spec fidelity and depth of protocol validation, with a plain-English fix for every issue. It's also available on every surface developers use - web, REST API, MCP, CLI, SDKs, and a browser extension.

Split Fee's answer:

Split Fee is the first purpose-built platform for split fee recruitment in the UK. Instead of relying on LinkedIn groups, WhatsApp messages, and manual agreements, agencies upload their candidates and vacancies and the platform automatically matches them across agencies.

Candidate identities are revealed gradually; anonymised at first, then progressively disclosed as both sides accept, so agencies can collaborate without the risk of circumvention.

Why should a person choose your product over its competitors?

Agent-Ready.dev's answer

Most agent-readiness tools check a shallow list of well-known paths and produce inconsistent or false-positive results. Agent Ready validates against the actual published specs in depth, groups findings into Site / Page / llms.txt / Protocol layers, and gives a concrete remediation step for each. It scans free with no signup, shows how your site ranks against the whole corpus, and meets you wherever you work - API, MCP, CLI, SDK, or browser extension - not just a single web form.

Split Fee's answer:

Most "split fee networks" are just directories or social groups where agencies post and hope someone responds. Split Fee is an actual matching engine. It scores candidate-vacancy pairs, handles the legal agreements (non-circumvention, self-billing), automates invoicing and fee splits, and manages the entire placement lifecycle from match to payment. Everything that normally requires trust, phone calls, and spreadsheets is handled by the platform.

How would you describe the primary audience of your product?

Agent-Ready.dev's answer

Developers, technical founders, and DevRel teams preparing their websites for AI search and autonomous agents. Anyone who needs their site to be discoverable and usable by LLMs, AI assistants, and agentic crawlers.

Split Fee's answer:

UK recruitment agencies; from boutique firms with a handful of consultants to mid-sized agencies with specialist sector coverage. Any agency that has either strong candidates without the right vacancies, or client vacancies they can't fill from their own candidate pool. Split Fee turns those dormant assets into placements.

What's the story behind your product?

Agent-Ready.dev's answer

As AI assistants and autonomous agents became a primary way people find products and information, websites built only for human visitors started getting left behind - and there was no precise, standards-grounded way to know how "agent-ready" a site actually was. Agent Ready was built to fill that gap: a rigorous, spec-faithful score plus actionable fixes, so teams can prepare for the agentic web with confidence instead of guesswork.

Split Fee's answer:

Abbie, our founder, knew that although split fee arrangements have existed in recruitment for decades, the process has always been manual: find a partner agency, negotiate terms, trust them with your candidate data, chase invoices. Most agencies avoid it because the overhead and risk outweigh the reward. Abbie built Split Fee to remove that friction entirely, with automated matching, progressive identity disclosure, built-in legal agreements, and automated billing, making split placements as straightforward as direct ones.

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What are some alternatives?

When comparing Agent-Ready.dev and Split Fee, you can also consider the following products

Scovant - Scovant runs real AI agents against your site โ€” simulations, CI regressions, and multi-model testing that static readiness scores can't see.

Unbench - Beyond recruitment, Unbench became a dynamic matchmaking platform, efficiently connecting companies with top specialists.

AgentReady.site - AI Readiness scoring platform. Scan any website and get an AI Readiness Score measuring how well it works with AI agents, LLMs, and crawlers. Free scan, 10 free tools, open-source algorithm.

Firecrawl - Turn any website into LLM-ready data.

agentShelf.app - Find out how visible your store is to AI shopping assistants. Free score in ~30 seconds. No signup.

Agent.ai - A marketplace and professional network for AI agents and the people who love them. Discover, connect with and hire AI agents to do useful things.