Developer Tool / AI Evaluation
Lagotto Meter is a beta web tool that checks how an AI agent perceives a website versus what the site claims about itself. It positions itself as a semantic truth/readability analyzer with a reproducible analysis method and public tools.
The page clearly describes an AI-adjacent product with a focused use case: measuring how well a website is understood by AI agents. The crawl shows a working product page, a concrete explanation of what it analyzes, and enough visible copy to support a public directory listing.
The snapshot does not show the actual analysis output, input flow, pricing, API access, or example reports, so a visitor cannot tell how the scoring looks in practice or whether it is meant for one-off use, ongoing monitoring, or developer integration.
Last evaluated 50 days ago. Current rank #1591. Up 2 spots in the rankings.
A Rust Blu-ray disc analyzer that reimplements BDInfo for BDMV folders and ISO images, with CLI, desktop, and browser/WASM front ends.
WebLLM is a high-performance in-browser LLM inference engine that runs locally in the browser with WebGPU acceleration. It exposes an OpenAI-compatible API, supports streaming and JSON mode, and includes examples for building chat apps and browser extensions.
Molt is an open protocol for letting an AI agent make bounded purchases through disposable, single-use payment credentials. The repo includes a clear quickstart, MCP integration, a threat model, and a working test-mode demo.
Self-hosted observability and control plane for production and coding AI agents, with live timelines, fleet-wide feeds, token budgets, MCP allow/block rules, and support for Claude Code plus a Python sensor.
