{
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  "title": "GG402 \u00b7 AI Fairness Checker",
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    "Generate fairness scores for model outputs",
    "Receive bias mitigation recommendations",
    "Validate dataset fairness before training"
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  "example_request_body": {
    "model_outputs": [
      "example output 1",
      "example output 2"
    ],
    "dataset_sample": [
      {
        "feature": "value"
      }
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  "risk_notes": [],
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    "median_category_atomic": 30000
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      "network": "base",
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      "verified": false,
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              "description": "Optional sample inputs/outputs for analysis."
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              "required": true,
              "description": "Description of the AI model or dataset."
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              "required": true,
              "description": "List of attributes to check, e.g., ['gender', 'race', 'age']."
            }
          }
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        "output": {
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          "required": [
            "fairness_report"
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          "properties": {
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              "properties": {
                "bias_identified": {
                  "type": "array",
                  "items": {
                    "type": "object",
                    "properties": {
                      "evidence": {
                        "type": "string",
                        "description": "Examples or data supporting the bias."
                      },
                      "severity": {
                        "type": "string",
                        "description": "Low, medium, high."
                      },
                      "attribute": {
                        "type": "string",
                        "description": "The biased attribute."
                      }
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                  },
                  "description": "Detected biases."
                },
                "mitigation_steps": {
                  "type": "array",
                  "items": {
                    "type": "string"
                  },
                  "description": "Recommendations to improve fairness."
                },
                "overall_fairness_score": {
                  "type": "number",
                  "description": "Score from 0-100, where 100 is perfectly fair."
                }
              },
              "description": "Detailed fairness assessment."
            }
          }
        }
      }
    }
  ],
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    "slug": "gg402-vercel-app",
    "host": "gg402.vercel.app",
    "title": "x402 API Marketplace | Pay-per-call APIs with Crypto",
    "description": "Discover and integrate paid APIs using the x402 protocol. Micropayments made simple with crypto.",
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    "name": "GG402 \u00b7 AI Fairness Checker",
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      "@type": "Offer",
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      "priceCurrency": "USDC",
      "priceSpecification": {
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        "unitText": "call",
        "priceCurrency": "USDC"
      },
      "eligibleCustomerType": "Agent",
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    "sameAs": "https://gg402.vercel.app/ai_fairness_checker",
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    "description": "Evaluate AI models for gender, race, and attribute bias. Fairness scoring and mitigation recommendations via x402 micropayments on Base for $0.01 USDC.",
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    "applicationCategory": "ai"
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  "axon_deep_link": "https://axon402.com/test-buy?resource=gg402-vercel-app-ai-fairness-checker"
}