Fix AI Webhook JSON for Production Flows

🧩 Problem

LLMs return almost-JSON with comments, trailing commas, or smart quotes. When malformed or unstructured data hits routers, filters, or API connectors, entire automations halt or silently drop records. Teams end up retrying runs, hand-editing payloads, and explaining delays to customers.

💡 Why This Happens

Models prioritize readability over strict JSON. Most automation platforms assume well-formed payloads and do minimal validation. AI models, third-party APIs, and changing vendor schemas drift over time, mixing encodings, formats, and unexpected fields that downstream steps cannot tolerate.

🚀 The Fix: JSON Fixer (API Endpoint)

Use this endpoint to solve the problem reliably inside Zapier, Make.com, n8n, Bubble, Airtable.

Endpoint

POST https://api.postthatgetthis.com/json/fix

Example Input

{ result: "ok", items: [1,2,], }

Example Output

{ "result": "ok", "items": [1,2] }

📦 What This Solves

• Strip comments and fences
• Repair arrays and quotes
• Production-safe JSON

Not seeing your exact problem? Tell us what’s breaking in your workflow and we’ll help fix it: Submit A Problem.

🔗 Related Use Cases

• Fix Malformed JSON
• Text to JSON

👉 Try it now

Use this endpoint directly in your automation tool. POST → get cleaned, structured data. Every time.