- VALID
- ERROR
- FIX
- LOG
Short answer
How can I check if my AI's JSON output matches my schema?
You provide the JSON payload and the target schema to your AI, which then uses Assertible to run a validation check. It immediately flags missing fields, type mismatches, or structural errors. You'll see exactly where the data fails the spec.
Validation outcomes.
Where your data lands.
The AI handles the heavy lifting of structural verification.
VALID
Clean data payloads
The AI confirms the JSON matches your schema perfectly. You get a green light to move the data into your production environment.
ERROR
Specific failure points
If the data is wrong, the AI identifies the exact field or type that failed. You get a clear report of what broke the schema.
FIX
Human-led corrections
When validation fails, you decide how to fix the source data. The AI won't rewrite your original data source for you.
LOG
Validation history
Every check is processed through the connector. You can track which payloads passed or failed based on the AI's feedback.
The workflow
What your AI does when the payload arrives.
The AI acts as a gatekeeper between your generated data and your application.
Receive payload
Your AI receives the raw JSON object you want to test.
validate_jsonRun schema check
The AI passes the data through the validation tool to compare it against your rules.
validate_jsonIdentify mismatches
The tool finds any missing required properties or incorrect data types.
validate_jsonReport results
The AI tells you if the check passed or provides the specific error messages.
validate_json
Try it
Copy these to start.
Use these prompts to trigger a validation check immediately.
Starting points
Swap the bracketed text with your actual JSON data or schema definitions.
Assertible Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_j2b1fGA9QZp77KBXLw34HQRPgprjB0X3YhgDhJPG/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Assertible capabilities are ready to use.
{
"mcpServers": {
"assertible-mcp": {
"url": "https://edge.vinkius.com/vk_preview_j2b1fGA9QZp77KBXLw34HQRPgprjB0X3YhgDhJPG/mcp"
}
}
}Validate this JSON payload against my schema: [paste JSON here]
Check if this object follows the user profile schema: [paste JSON here]
Does this API response match the expected structure? [paste JSON here]
Run a schema validation on this data: [paste JSON here]
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Assertible once, then ask.
Just link your account once. Your credentials stay encrypted and the connection stays active for all your AI clients.
Connect Assertible to your AIFAQ
How this task behaves.
- 01
Can the AI fix the JSON automatically?
No. The AI uses the tool to check the data, but it does not automatically rewrite your source files or databases.
- 02
Will the AI change my schema?
No. The tool only reads your schema to perform the check; it cannot modify your schema definitions.
- 03
What happens if the JSON is totally malformed?
The validation tool will flag it as invalid and report the syntax error to your AI.
- 04
Can I validate multiple schemas at once?
The AI can run multiple separate checks if you provide the different schemas in your prompt.
- 05
Does this work with any JSON schema?
Yes, as long as the schema follows standard JSON schema specifications, the tool can validate against it.
More questions about Assertible? The Connector page answers them. See everything the Assertible Connector can do
Connect Assertible to Claude, Cursor, ChatGPT & more
