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Evidence row 3970163

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://promptqualityscore.com/api/pqs-grade
Recorded
Previous row
#1791793
Body SHA-256
d65d08ff9e562e9a9c15aa1d33c9604a51b80d54c122c9c55685d43db8ff6013
Leaf
0x19f670af5ad05d9c604033d4b5eed5ef4296ba855125d0fe8ddd3962a13bd536

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": 1,
      "l30DaysUniquePayers": 1,
      "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":"d65d08ff9e562e9a9c15aa1d33c9604a51b80d54c122c9c55685d43db8ff6013","id":3970163,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1794083627351885,"prev":1791793,"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 (195826 rows).

  1. 0x19f672b6e3c9dfa8520c872378c5a280ee6a7558677bd98088b02b388e92916a
  2. 0x163202e669e5c256ed5137425e94771b95aa9fe5041b70b7eb82a72e8d21b658
  3. 0xe72b1d664530463249cf7da37a5e13804a19e9f3fdd00d14f9453a476d57ae83
  4. 0xebf99f6a85429a4608d1e71ac18337bcf6760dabe5aaed982cb87dde1a2382e2
  5. 0xe630f0cf14f55b6658c77127d262f39490600932116abfac8b5251f31f6c6145
  6. 0xfeb8620d44868028d742b72cd01377428f943cc555d3d2c3d6dda5c63435b00f
  7. 0xc14b81e9447976b7c3f0aa59ab6e556e7efc850a40051c303935d8a0a312f1af
  8. 0x2c98ed9162bfcd56a32afe89f1cf33575c477428514deb678e9523fa2cfedbea
  9. 0x4875d23a40f8c2ceb1a9246d7af353e8ee97630674b096b6920234a79454bd47
  10. 0x917e15d626c1b3b2649da90b7f9d2ee6fcca53f956bb52c9d056bdd223cbba28
  11. 0x42f37e57d8609db545b92abd10ac9101bf5877c85e10c06649ef076ac65e8f5c
  12. 0x5e66ecfab97def5f0d2dbf8d476c99ca978066e2c988566f0a0cff517c34d700
  13. 0x10098a8e53ad0238235972679790fca4168b24d877abf224a8392ea979b282ad
  14. 0xfc9ab88d5cb08cae376d37d3f24517c7a2cd94f277b0d505932d5ac795e4c6be
  15. 0x22002567dfb80a697b73b13f0cc7ab99ac0c0bd9ea84bf4883eeb09f86036e24
  16. 0x80bdd907e4cabf074c5e8d919e88abbc805de47d0c5c142e281a67157f82926f
  17. 0x54292a94f447f1fd33c01b5c99da465043f11022958626a2ea562c457fef697a
  18. 0xff23fa8a9de3f957315ef0dfe7e8d8f6b1a51dae05fef7615c59794e019ff05c
Day root
0x17da9e85e1b138541355d33543ff34e3503cd3a49d37728fb53643e2a0416a2d
Chained
0xed34bd4af17282643de8cb9591c84d0aa1b39e1e9ae9864941e543f5a15718cb
Published
On Arc Testnet, block 71280839: 0xc3f6784179e0ca32236ba89472473e882a81d03fcc5ce27ca58ded2e01e112aa

How to check it · This row as JSON