AI infrastructure & agent explorers
MCP servers, agent tools, traces, models, costs, RAG citations and structured output. · 10 tools
Agent Permission Graph
See what your AI agent can reach: MCP servers, commands, files, network and secrets – with risks.
AI Agent Tool Explorer
Index of tools AI agents can call: this site, the MCP Registry or your definitions, by capability.
AI Model Compatibility Explorer
Which LLMs take images, audio or files, fit your context and support tools or structured outputs?
AI Tool-Call Trace Explorer
Paste an agent transcript: see every tool call in order, with errors, timings, retries and loops.
AI Website Readiness Explorer
Can ChatGPT, Claude, Perplexity and AI agents read your website? Explainable score.
LLM Cost Explorer
Monthly LLM API cost per model for your workload, with prompt-caching and batch savings.
MCP Server Explorer
Inspect any MCP server before you connect an AI agent: tools, permissions, risks, changes over time.
Model Behavior Regression Explorer
Compare eval results of two model versions: accuracy, regressions, McNemar p-value, flaky items.
RAG Citation Debugger
Check a RAG answer's citations against the retrieved chunks: uncited claims, wrong sources, numbers.
Structured Output Validator
Validate AI JSON output against a JSON Schema: parse errors with line/column, plain-language fixes.
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