GenAI & ML JSON Examples

Modern AI systems exchange structured JSON for predictions, embeddings, and large language model responses.

Example 1: LLM Text Generation Response

{
  "id": "chatcmpl-8821",
  "model": "gpt-4.1",
  "output": {
    "text": "JSON is a lightweight data format...",
    "tokensUsed": 124
  },
  "finishReason": "stop",
  "createdAt": "2026-01-11T09:00:00Z"
}

Example 2: Text Embedding JSON

{
  "model": "text-embedding-3-large",
  "input": "JSON Viewer tool",
  "vectorSize": 3072,
  "embeddingId": "emb-7721",
  "usage": {
    "tokens": 6
  }
}

Example 3: ML Prediction Result

{
  "model": "fraud-detection-v2",
  "prediction": "fraud",
  "confidence": 0.91,
  "featuresUsed": 18,
  "transactionId": "TXN-88291",
  "evaluatedAt": "2026-01-11T10:12:00Z"
}

Example 4: AI Moderation Output

{
  "inputId": "msg-1001",
  "flagged": false,
  "categories": {
    "violence": false,
    "hate": false,
    "self_harm": false
  },
  "model": "content-moderation-v1"
}

Example 5: Model Training Metadata

{
  "trainingJobId": "train-5521",
  "datasetSize": 120000,
  "epochs": 10,
  "accuracy": 0.94,
  "loss": 0.12,
  "startedAt": "2026-01-09T08:00:00Z",
  "completedAt": "2026-01-09T11:30:00Z"
}

Format & Explore JSON Instantly

Use these real-world JSON examples to test formatting, validation, and syntax highlighting with our online tool.

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