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Evidence row 48546

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://promptqualityscore.com/api/pqs-grade
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
19a1031e22fdfcf0d987b844629c2c96107a3bc9e6366c95ebbd465ca2e61e78
Leaf
0xf5dd80957186fa75607cc7ceb8dba42fba755ffcf42d62d93cc79ee4513daebc

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://promptqualityscore.com/api/pqs-grade"
    ]
  ],
  "name": "promptqualityscore.com/api/pqs-grade",
  "owner_address": "0xb40a687ca5483ebc02f870348f6e08971cae1308",
  "raw": {
    "accepts": [
      {
        "amount": "1000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "category": "ai",
        "description": "Quick pre-flight quality score: composite (0-100) + grade (A-F) + three framework sub-scores (PEEM, RAGAS, G-Eval) + verdict. Run upstream of any other paid call to filter weak prompts before inference. The cheapest gate on the AI input quality problem.",
        "discoverable": true,
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "iconUrl": "https://raw.githubusercontent.com/OnChainAIIntel/assets/main/onchainintel_profile_pic.png",
        "maxAmountRequired": "1000",
        "maxAmountRequiredUSD": "$0.001",
        "maxTimeoutSeconds": 300,
        "mimeType": "application/json",
        "network": "eip155:8453",
        "networkLegacy": "base",
        "outputSchema": {
          "input": {
            "bodyFields": {
              "prompt": {
                "description": "Prompt text to grade (1-10000 chars)",
                "type": "string"
              },
              "vertical": {
                "description": "Optional domain: software/content/business/education/science/crypto/general/research",
                "type": "string"
              }
            },
            "bodyType": "json",
            "discoverable": true,
            "method": "POST",
            "type": "http"
          },
          "output": {
            "properties": {
              "frameworks": {
                "properties": {
                  "geval": {
                    "description": "G-Eval framework score: weights LLM-judged faithfulness (clarity, specificity, CoT, constraints)",
                    "maximum": 10,
                    "minimum": 0,
                    "type": "number"
                  },
                  "peem": {
                    "description": "PEEM framework score: weights structure (clarity, output format, role, constraints)",
                    "maximum": 10,
                    "minimum": 0,
                    "type": "number"
                  },
                  "ragas": {
                    "description": "RAGAS framework score: weights grounding (context, specificity, examples)",
                    "maximum": 10,
                    "minimum": 0,
                    "type": "number"
                  }
                },
                "required": [
                  "peem",
                  "ragas",
                  "geval"
                ],
                "type": "object"
              },
              "grade": {
                "enum": [
                  "A",
                  "B",
                  "C",
                  "D",
                  "F"
                ],
                "type": "string"
              },
              "methodology_url": {
                "description": "Link to the methodology blog post explaining the five-framework synthesis",
                "type": "string"
              },
              "score": {
                "description": "Composite 0-100 score (percentile-normalized total)",
                "maximum": 100,
                "minimum": 0,
                "type": "integer"
              },
              "upgrade_url": {
                "description": "Link to PQS Pro for the full 8-dimension SaaS",
                "type": "string"
              },
              "verdict": {
                "description": "Single sentence diagnosing the weakest dimension, with a framework citation",
                "type": "string"
              }
            },
            "required": [
              "score",
              "grade",
              "verdict",
              "frameworks"
            ],
            "type": "object"
          }
        },
        "payTo": "0xB40a687ca5483Ebc02F870348f6e08971Cae1308",
        "scheme": "exact",
        "serviceName": "Prompt Quality Score",
        "tags": [
          "pqs-grade",
          "prompt-quality",
          "preflight",
          "scoring",
          "llm-tooling",
          "x402",
          "pqs"
        ]
      }
    ],
    "description": "Quick pre-flight quality score: composite (0-100) + grade (A-F) + three framework sub-scores (PEEM, RAGAS, G-Eval) + verdict. Run upstream of any other paid call to filter weak prompts before inference. The cheapest gate on the AI input quality problem.",
    "extensions": {
      "bazaar": {
        "category": "ai",
        "discoverable": true,
        "info": {
          "input": {
            "body": {
              "prompt": "Explain PQS scoring in one sentence to an AI agent operator.",
              "vertical": "general"
            },
            "bodyType": "json",
            "method": "POST",
            "pathParams": {},
            "type": "http"
          },
          "output": {
            "example": {
              "frameworks": {
                "geval": 6,
                "peem": 5.5,
                "ragas": 5.7
              },
              "grade": "C",
              "methodology_url": "https://promptqualityscore.com/blog/five-framework-synthesis?utm_source=pqs-grade&utm_medium=api&utm_campaign=2026-05-grade-launch",
              "score": 58,
              "upgrade_url": "https://promptqualityscore.com/pro?utm_source=pqs-grade&utm_medium=api&utm_campaign=2026-05-grade-launch",
              "verdict": "PEEM flags weak output format and role definition. Specify how the answer should be shaped and who is asking."
            },
            "type": "json"
          }
        },
        "routeTemplate": ":var1",
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "properties": {
                    "prompt": {
                      "description": "Prompt text to grade (1-10000 chars)",
                      "maxLength": 10000,
                      "minLength": 1,
                      "type": "string"
                    },
                    "vertical": {
                      "default": "general",
                      "description": "Optional domain: software/content/business/education/science/crypto/general/research",
                      "enum": [
                        "software",
                        "content",
                        "business",
                        "education",
                        "science",
                        "crypto",
                        "general",
                        "research"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "prompt"
                  ],
                  "type": "object"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "type": "string"
                },
                "pathParams": {
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        },
        "tags": [
          "pqs-grade",
          "prompt-quality",
          "preflight",
          "scoring",
          "llm-tooling",
          "x402",
          "pqs"
        ]
      }
    },
    "lastUpdated": "2026-10-26T09:45:43.209Z",
    "quality": {
      "l30DaysTotalCalls": 3,
      "l30DaysUniquePayers": 3,
      "lastCalledAt": "2026-10-26T09:45:42.92Z"
    },
    "resource": "https://promptqualityscore.com/api/pqs-grade",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Quick pre-flight quality score: composite (0-100) + grade (A-F) + three framework sub-scores (PEEM, RAGAS, G-Eval) + verdict. Run upstream of any other paid call to filter weak prompts before inference. The cheapest gate on the AI input quality problem."
}

What the leaf hashes

{"body":"19a1031e22fdfcf0d987b844629c2c96107a3bc9e6366c95ebbd465ca2e61e78","id":48546,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793025412120123,"prev":null,"subject":"x402_bazaar:https://promptqualityscore.com/api/pqs-grade","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0xf5dd6989138549ef390a48e9bb5cf18897a5bc04c749612895b8a8464e36f2c2
  2. 0x97293b321f785625ee81a375fca0d7a94156b607dd667fd414ad96aa6ff66cb2
  3. 0x2c0c5f1d4c6171f695898e1a526fba91f2893ec8cf1094674db3d97e74bcd0c6
  4. 0xf5b215056a22797b37caae4e72e787dab90b8c2416440d0d758ee4d8b418d761
  5. 0xc5929279f06fd1c005eed9d81fd028498c7acf836e7567ba17b8dd572e9d0ac9
  6. 0x00357d0fe50ce45c11bde0428ab772335b22bc124d31fbc61a12519969f79638
  7. 0x9e63530ede259ae313244b6b64be5a370588dec425945bd644d94bc14e8a4356
  8. 0x8825c1a42de5f212da53dd916a6e9e5c6b0a4ebaaf72438da273090e02b69661
  9. 0xb03236d00755f756b022b8acf5ce6221f112d498410fa189525c0cd9621ec373
  10. 0x74b5156f36a704300634e9161bdb27e48fa391139b74707200a8fdaa6bea760a
  11. 0x625d2af057e293be1c3beb719789f9dc49df6cf80f71fb50444e4cba386a048f
  12. 0x4eeaa4735423e7633e0aaa6154804920315f945b1e4ceabd29282ec021cce244
  13. 0x79695e4356ea25a2b58265a824698704cd2c743099ce2dca9e41384ce8f1a8c5
  14. 0xd769d41500075835c3b2f9184d223699fb983fd05c29fbcb44d964abc7ee380d
  15. 0x68d296b1e00b4899fb83c3fba36fffaefa311eac2903067dbebfe776a12b4a9a
  16. 0x5fb5dda563336cd1bc1b9f44c52b76237ae72ed2145cb9290f39f304ca7dd678
  17. 0x74a0a08e4e7ab9aa5bfbead33dec7e1c7e8e364cff69a63720d764bbe987aadc
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON