• SCHEMA
  • TYPE
  • HUMAN
  • LOG

How to validate API payloads with your AI

Connect ContextQA to your agent to automate schema enforcement. Your AI handles the comparison between real traffic and your documentation.

Ask AI about this page

Short answer

How can I use AI to check if my API payloads match my OpenAPI spec?

Your AI agent uses ContextQA to pull your existing API tests and compare the actual payload structures against your OpenAPI definitions. This catches missing fields or type mismatches. You'll see exactly where your live data deviates from your documentation.

Validation outcomes

Where every issue lands.

The AI organizes every mismatch it finds into clear categories for you to act on.

SCHEMA

Structural mismatches

The AI identifies where your JSON structure breaks the rules. You get a list of missing or extra keys.

TYPE

Data type errors

The agent flags when a string arrives where an integer was expected. This prevents downstream failures.

HUMAN

Manual fixes needed

When a payload violates a critical constraint, the AI flags it for your review. You decide if the spec or the data needs to change.

LOG

Validation history

The AI tracks every test run. You can ask your agent to summarize recent failures or trends in payload drift.

The workflow

What your AI does when the request arrives.

The AI takes over the repetitive task of comparing live data to static documentation.

  1. Fetch test suite

    The agent pulls your current set of API tests to understand what needs checking.

    list_api_tests

  2. Compare payloads

    The AI inspects the incoming JSON against the OpenAPI schema to find discrepancies.

    list_api_tests

  3. Identify drift

    Your agent pinpoints exactly which field or value doesn't match the spec.

    list_api_tests

  4. Report errors

    The AI presents a clean summary of the mismatches found during the run.

    list_api_tests

Try it

Copy these to start.

Use these prompts to kick off your first validation run.

Starting points

These are opening lines. Swap in your specific API names or test suites.

ContextQA Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_arIg6fOatFWYf4ywr6Asm6h013dTDEa83NCzuGoP/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — ContextQA capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "contextqa-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_arIg6fOatFWYf4ywr6Asm6h013dTDEa83NCzuGoP/mcp"
    }
  }
}
Copy into chat04

  • List all my API tests in ContextQA and tell me which ones failed recently.

  • Check the latest payload from the Payments API against its OpenAPI spec.

  • Compare my current API tests to see if any fields have drifted from the documentation.

  • Run a validation check on the User Auth endpoint and summarize any type mismatches.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect ContextQA once, then ask.

Just link your account once. Your credentials stay encrypted and secure, and you can immediately start asking your agent to run tests.

Connect ContextQA to your AI

FAQ

How this task behaves

  • 01

    Can the AI automatically update my OpenAPI spec?

    No. The AI identifies mismatches, but you must manually update your documentation or your code.

  • 02

    Will the AI change my live API data?

    No. The AI only reads your tests and payloads to perform comparisons. It cannot modify your production data.

  • 03

    Does it work with any OpenAPI file?

    Yes, as long as the spec is accessible through the connected ContextQA environment.

  • 04

    Can I run these tests on demand?

    Yes. You can trigger a validation check at any time by asking your agent to run a specific test.

  • 05

    Does the AI handle nested JSON objects?

    Yes. The agent validates the entire object tree against the schema, including nested properties.

  • More questions about ContextQA? The Connector page answers them. See everything the ContextQA Connector can do

Connect ContextQA to Claude, Cursor, ChatGPT & more