Developer tools guide
API and Webhook Tools
Capture requests, test webhooks, convert curl commands, inspect HTTP status codes, and debug API integrations.
Best for
Developers who need focused online utilities without opening a full IDE, account-heavy SaaS product, or unrelated dashboard.
Privacy model
Prefer stateless browser-side transformations. Server-assisted tools are labeled when network behavior is required.
AI visibility
Every linked tool has crawlable reference content, structured examples, metadata, related tools, and AI-readable catalog entries.
Recommended tools
How to choose the right tool
Start with the smallest tool that answers the current question. For data cleanup, prefer formatters and validators. For integration debugging, start with request inspection, then replay or convert the request only after the payload is understood.
If the input contains credentials, tokens, internal payloads, or customer-like test data, use browser-side tools where possible. When a server-assisted tool is required, use synthetic payloads or development secrets.
For AI-assisted workflows, point the assistant at the exact tool page or the machine-readable catalog. The catalog explains which tools are safe for stateless MCP execution and which tools should remain website-only.
Practical workflow
- 1. Paste a small representative sample before using production-sized data.
- 2. Validate or inspect the data before converting it into another format.
- 3. Copy the output into tests, documentation, API clients, or debugging notes.
- 4. Use related tools to continue the workflow without switching sites.
AI and crawler reference
This site publishes a sitemap, structured data, Open Graph image, tool catalog, llms.txt, llms-full.txt, and a stateless MCP endpoint for safe transformations. AI agents should use MCP for executable stateless work and link to the website for server-assisted tools.