Test AI APIs and Tool Endpoints in the Browser
Send JSON requests to AI endpoints, tweak auth and headers, and inspect the structured response without leaving the browser.
Why this workflow matters
AI integrations usually break across auth headers, request bodies, or response contracts. You need to replay the request quickly, inspect the JSON response, and verify whether the endpoint or the schema is the real issue.
What success looks like
- Replay AI requests faster than rebuilding them from scratch.
- Check auth, headers, and JSON response shape in one workspace.
- Shorten the loop between request changes and validated output.
Best tools for this job
API-Explorer
REST-APIs im Browser mit formatierten JSON-Antworten testen
LLM JSON Output Validator
Repair and validate model JSON output against a schema
JWT-Decoder
JWT-Token dekodieren: Header, Payload und Ablaufzeit
JSON-Formatierer
JSON mit einstellbarer Einrückung formatieren und verschönern
Recommended workflow
- 1
Build or import the request into API Explorer with the exact method, URL, headers, and JSON body.
- 2
Send the request, inspect the formatted response, and compare retries when the output keeps drifting.
- 3
Validate the returned JSON against your expected schema if the endpoint succeeds but the payload shape still looks wrong.
Related guides and examples
Start with API-Explorer
This workflow is anchored on API-Explorer. Open it first, then move through the supporting steps only if the payload, request, or output still needs more work.
Open API-ExplorerVerwandte Tools
LLM JSON Output Validator
Repair and validate model JSON output against a schema
JSON-Formatierer
JSON mit einstellbarer Einrückung formatieren und verschönern
MCP Tool Schema Validator
Validate MCP tool definitions and verify `inputSchema` before deployment
JWT-Decoder
JWT-Token dekodieren: Header, Payload und Ablaufzeit