Freeper month
$0/month
- All read endpoints open, no API key required
Finding your next stop…
Loading the latest directory information.
Loading the latest directory information.
Ora.ai is a free web platform that scores website agent-readiness on a 0-100 scale and helps businesses optimize sites for AI agents across four layers: Discovery, Access, Usability, and Payments. It supports MCP and offers CLI auditing via npx ax audit.
Start here for the decision-making essentials: what Ora.ai does, who it is for, how it is accessed, and the first-party sources behind this profile.
$0/month
Read-only public captures of Ora.ai’s homepage. Screenshots are dated, never live embeds, and open full-screen.
Short answers to the questions buyers and builders commonly ask about Ora.ai. Each answer cites the shared ledger below, where every source is listed once.
Agent-readiness scoring on a 0-100 scale that measures how AI agents find, read and use a · Spawns real agents across platforms like ChatGPT, Claude, and OpenClaw that attempt to onb · Ranks any product across four agent-experience layers: Discovery, Access, Usability, Payme
Ora scores how agents find, read and use you.
Businesses and product teams whose websites or products need to be discoverable and transa
Most businesses haven't thought about it yet. Not because they're behind, but because until recently it didn't matter. It does now.
Optimizing websites so AI agents can find, access, use, and recommend them (Agent Experien
Ora helps you make your site work for agents. Scan, simulate, rank, and index the surfaces agents actually need.
Free | $0/month | Free to use - all read endpoints open, no API key
Free to use - all read endpoints open, no API key
Runs static checks against product documentation, llms.txt files, registries, and public A
We run static checks against your docs, llms.txt, registries, and public APIs.
Web SaaS plus a CLI command (`npx ax audit`) that scores any URL and prints ranked fixes
npx ax audit scores any URL and prints what to fix, ranked by impact.
This profile connects the jobs Ora.ai is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.
HTTP 200 verified twice
Ora | Make your site work for agents
Agent-readiness scoring on a 0-100 scale that measures how AI agents find, read, and use a · Optimizes websites for AI agents across four layers: Discovery, Access, Usability, and Pay · Spawns real agents across platforms like ChatGPT, Claude, and OpenClaw
Agent-readiness scoring on a 0-100 scale that measures how AI agents find, read and use a site
Optimizing websites so AI agents can find, access, use, and recommend them (Agent Experience / AX)
Spawns real agents across platforms like ChatGPT, Claude, and OpenClaw that attempt to onboard and use products end to end
Ranks any product across four agent-experience layers: Discovery, Access, Usability, Payments
Businesses and product teams whose websites or products need to be discoverable and transactable by AI agents
Free | $0/month | Free to use - all read endpoints open, no API key
Web
DeveloperApplication
Web SaaS plus a CLI command (`npx ax audit`) that scores any URL and prints ranked fixes
Runs static checks against product documentation, llms.txt files, registries, and public APIs
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
Showing the newest updates and meaningful milestones. Open an entry for its summary and source.
Ora partnered with Vercel to launch is-agentic.com, a ranker endpoint tuned for content sites, exposing a new include=essentials option in the Ora API so the same scan can return both full and essentials scores.
View source [4]Deep Scan v2 reverse-engineers the agent-readiness checklist from thousands of real agent runs, moving AI off the live scan path so a full scan now completes in 20 to 30 seconds instead of minutes.
View source [6]Ora published a research report from real agent runs showing that documentation and homepages dominate reach, while purpose-built files like llms.txt and agents.md convert at high rates only when linked from pages agents visit.
View source [12]Deep Scan v1.1 expanded Layer 1 Discovery into a five-engine AEO/GEO benchmark and graded MCP servers against Anthropic's published guidance for tool naming, schemas, capability annotations, and registry verification.
View source [10]Ora introduced Deep Scan, an agent-readiness benchmark that performs live OAuth flows, MCP handshakes, and multi-turn agent task evaluations across five layers rather than a static checklist of well-known files.
View source [11]Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
These tools share a workflow, capability or audience with Ora.ai. They may complement it rather than replace it, and are not presented as integrations or endorsements.
Model Context Protocol (MCP) - open standard for connecting agents to external tools and data
AgentReady, the open standard for agent readiness, is MIT-licensed and vendor-neutral
Scans sites and fixes issues that turn agents away · Provides 'npx ax audit' CLI that scores URLs and ranks fixes by impact · Ranks products on agent experience across discovery, access, usability, and payments
Scan any site, watch real agents try to use it, and fix what turns them away; Ora is the standard for optimizing sites so agents can use and recommend them
Provides a CLI tool 'npx ax audit' that scores any URL and prints what to fix, ranked by impact
Ranks any product on its agent experience across four layers: discovery, access, usability, and payments
Free | $0/month | All read endpoints open, no API key required
United States
https://www.linkedin.com/company/orank
https://github.com/eralabs-ai
https://x.com/oradotai
hello@ora.ai (customer support contact)
Founded by people who worked with Anthropic and OpenAI to establish the first shared standards for interactive AI
Scans any site, watches real agents try to use it, and surfaces what turns them away · Optimizes sites so AI agents can discover, access, use, and recommend them · Helps companies get ready for AI agents
Scans any site, watches real agents try to use it, and surfaces what turns them away
Optimizing websites so AI agents can discover, access, use, and recommend them
Companies whose products need to be ready for AI agents to transact with
Era Labs (operating ora.ai)
Model Context Protocol (MCP) 1.x, newest supported protocol revision 2025-11-25
Streamable-HTTP MCP server at https://ora.ai/api/mcp exposing 13 tools, plus a REST API and OpenAPI spec
Partnership with Vercel on is-agentic.com, an agent-readiness scanner tailored for sites shipped on Vercel and powered by the Ora ranking
Write operations (product feedback) are restricted to AI agents and verified through HATCHA, a reverse CAPTCHA that proves the caller is an agent
Scores products on agent readiness and benchmarks whether AI agents can find, understand, and use a site's content
Web-based agent-readiness scanner and benchmarking service
Deep Scan v2 - benchmark that runs real agents across thousands of intents and sites and scores sites on a 0-100 scale
Ora ranker runs 127 checks across four layers: discovery, access, usability, and payments
AgentReady - the first open standard for agent readiness, vendor-neutral and MIT-licensed
