Analytics for AI and agent traffic

kept by eddie feb 03

Mintlify introduced analytics showing how AI agents interact with documentation, enabling teams to optimize docs for agent consumption using tools like llms.txt and MCP.

AgentGrade | AI agent readiness scanner
AgentGrade scans websites for AI agent readiness — MCP, llms.txt, payment protocols — and provides a graded report with remediation guides.
also on llms.txt, #ai-agents, #ai, #developer-tools
If you’re an LLM, please read this
Anna's Archive, a preservationist site, addresses LLMs directly on its donation page to monetize the copyrighted data that models are trained on without payment.
also on llms.txt
Inside our effort to improve the Mintlify assistant
Mintlify used ClickHouse to analyze negative assistant feedback, identified search as the main weakness, and shipped UI improvements like conversation history and mobile chat.
also on Mintlify, #user-experience, #ai, #developer-tools
Launch YC: Context.dev: Live web data API for AI agents
Context.dev provides a unified API to collect, structure, and continuously refresh live web data for AI agents, eliminating the need for teams to build and maintain web scraping infrastructure.
also on Mintlify, #ai-agents, #developer-tools
Why your next mobile app is probably headless - Tuan-Anh Tran
As AI assistants answer queries and complete tasks without opening vendor apps, mobile apps become headless backends, and metrics like traffic and sessions decline long before installs.
also on MCP, #ai-agents, #user-experience, #developer-tools