Endpoint Context Protocol

Endpoint Context Protocol
endpointcontext.ioEnables websites to serve both human visitors and AI agents from a single URL using existing HTTP standards.

Endpoint Context Protocol
endpointcontext.ioEnables websites to serve both human visitors and AI agents from a single URL using existing HTTP standards.
Enables websites to serve both human visitors and AI agents from a single URL using existing HTTP standards.
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Endpoint Context Protocol (ECP) leverages standard HTTP Content Negotiation headers to allow any existing website to present two distinct representations: a visual web for humans and a clean, semantic web for AI agents and LLMs. This means agents can discover and interact with live operational context, APIs, and data directly from a canonical domain, without requiring new infrastructure or routing. ECP aims to make the web truly agent-friendly, unlocking URL-first discovery and actionable intelligence.
Website owners, developers, and businesses who want their online content and services to be easily discoverable and actionable by AI agents and large language models, ensuring first-party authority and real-time context.
ECP is compelling for its elegant solution to a growing problem: how AI agents interact with the web. By utilizing existing HTTP standards, it offers a non-disruptive path for websites to become agent-friendly, potentially unlocking a new era of 'URL-first discovery' and real-time data access for AI, without the need for new protocols or complex integrations.
AI-assisted scores estimated from public website information only.
This FounderDeck estimate of $350,000 reflects a strong, technically elegant solution to a clear and emerging problem in the AI agent space. The product clarity and website polish are excellent, demonstrating a deep understanding of the problem and a clever use of existing web standards. The market potential for making websites 'agent-friendly' is significant. The estimate is not higher due to the absence of explicit pricing, a clear business model beyond 'Context Servers,' and visible traction or adoption metrics.
Valuation date: 2026-06-05. Estimate generated from public signals.
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