# AI infrastructure & agent explorers > A network of 10 focused, deterministic tools. Every tool has a human page, a JSON API, an OpenAPI description and an MCP tool that all return the same result (inputs, result, units, assumptions, sources, timestamps). ## Machine interfaces - Tool catalog (JSON): https://aiinfra.usefulweb.site/api/v1/tools - OpenAPI (all tools): https://aiinfra.usefulweb.site/openapi.json - MCP server (all tools + workflows): https://aiinfra.usefulweb.site/mcp - Pick a tool for a natural-language request: POST https://aiinfra.usefulweb.site/api/v1/tools/prompt-to-tool-router/calculate {"request": "..."} ## Tools - [Agent Permission Graph](https://agentpermissiongraph.usefulweb.site/): See what your AI agent can reach: MCP servers, commands, files, network and secrets – with risks. API: POST https://aiinfra.usefulweb.site/api/v1/tools/agent-permission-graph/calculate - [AI Agent Tool Explorer](https://aiagenttoolexplorer.usefulweb.site/): Index of tools AI agents can call: this site, the MCP Registry or your definitions, by capability. API: POST https://aiinfra.usefulweb.site/api/v1/tools/ai-agent-tool-explorer/calculate - [AI Model Compatibility Explorer](https://aimodelcompatibilityexplorer.usefulweb.site/): Which LLMs take images, audio or files, fit your context and support tools or structured outputs? API: POST https://aiinfra.usefulweb.site/api/v1/tools/ai-model-compatibility-explorer/calculate - [AI Tool-Call Trace Explorer](https://toolcalltraceexplorer.usefulweb.site/): Paste an agent transcript: see every tool call in order, with errors, timings, retries and loops. API: POST https://aiinfra.usefulweb.site/api/v1/tools/tool-call-trace-explorer/calculate - [AI Website Readiness Explorer](https://aiwebsitereadinessexplorer.usefulweb.site/): Can ChatGPT, Claude, Perplexity and AI agents read your website? Explainable score. API: POST https://aiinfra.usefulweb.site/api/v1/tools/ai-website-readiness-explorer/calculate - [LLM Cost Explorer](https://llmcostexplorer.usefulweb.site/): Monthly LLM API cost per model for your workload, with prompt-caching and batch savings. API: POST https://aiinfra.usefulweb.site/api/v1/tools/llm-cost-explorer/calculate - [MCP Server Explorer](https://mcpserverexplorer.usefulweb.site/): Inspect any MCP server before you connect an AI agent: tools, permissions, risks, changes over time. API: POST https://aiinfra.usefulweb.site/api/v1/tools/mcp-server-explorer/calculate - [Model Behavior Regression Explorer](https://modelbehaviorregressionexplorer.usefulweb.site/): Compare eval results of two model versions: accuracy, regressions, McNemar p-value, flaky items. API: POST https://aiinfra.usefulweb.site/api/v1/tools/model-behavior-regression-explorer/calculate - [RAG Citation Debugger](https://ragcitationdebugger.usefulweb.site/): Check a RAG answer's citations against the retrieved chunks: uncited claims, wrong sources, numbers. API: POST https://aiinfra.usefulweb.site/api/v1/tools/rag-citation-debugger/calculate - [Structured Output Validator](https://structuredoutputvalidator.usefulweb.site/): Validate AI JSON output against a JSON Schema: parse errors with line/column, plain-language fixes. API: POST https://aiinfra.usefulweb.site/api/v1/tools/structured-output-validator/calculate ## Workflows