Evidence row 1791793

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": 2,
      "l30DaysUniquePayers": 2,
      "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":"1d703e705948e759c6ce9bff691e50225e50c6ce6c6c659b4ed79c49b3ee9d40","id":1791793,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793559992394318,"prev":48546,"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 2026-11-01 (302406 rows).

1. 0x6354f53a52a9961e3e69ea872663dfb665b2ce50d4e7aee7683ee56796d582ed
2. 0x6a946fb1a6ca6a6335f6ab70d6243aaadf23a101ae724df019bf9620c21c18fb
3. 0x4e5911ffd9c231da31cc3e1da94f0cce8d49fed1e0175a50cf8e84a7eb5e6d36
4. 0xdc2683ed7a936db1da6be6e8e48b36a7bf1c308f27104b66f2ff18e25c7be574
5. 0x0bb97dbee182ce4fb6ae6dab833757caba4a4989e735a439096962438c15d56d
6. 0x30aa3a95c4f2e92550987372235db37f2c85a4dd0593ab27f4b983c597ee4a11
7. 0xa7edd48037a141018fa7985afed99ba77fa0e98ec89cd0d3222817b26f6ab000
8. 0x2efe91981e4c23420b5629ae2ab7830a2c9bdd85f87b406b207509c6d17d3fec
9. 0x6030acfe3634e9b38c9e5fd3406c7ffead28a54a7a0e5ea0183a8d1204bcca06
10. 0xc32e5a1883927c5955a5db41713e6a92f1ad474cc84325b02760b9334e1a89c2
11. 0x2fb970942c26a5668d795a2f3c38d9d72b2c547c354f4947337c45be065a5070
12. 0xff9b8f01632947d40738b3e8648f66d25af96563c1bee717d4e6024bf22ae3e3
13. 0x0aa7bcd64ab1520080bf6bd72a75d5f377537629b47f20b8e8d9418871f23602
14. 0xf2a2a0157f28bf3255c9b6847cbe675ba213d3983bbfe1c0848c216c57838e54
15. 0x7c66173839ef153f08dfd346f7ea956e9226e1b7ff05bf4c6cf27436953f336b
16. 0xc1f6e8dd182b37cbb6e04d0e69486bd40d440934f8e373b9bae8cb78de508bba
17. 0x97f6f39e601b6ef0e47b730aa0488b718c0d7882ad840342bbd7d3a705a1b3a2
18. 0x1973893697931b7512ae5dc1a3c92ef92f633ae3574dce9029a35b5e94d2d364
19. 0x3315fd2757fdd435852cc277377234a3f3909a6d2a089d0e36f6d59aacfda910

Day root

0x7fa2cba1cf3d6b35630896f5fe1a650adb307ea2c376e80a5f2d9276b7cb5ab3

Chained

0x577ff89ba012beeff3197bcff7fa86752074bdf54205a24359cc437be2a952a4

Published

On Arc Testnet, block 70262758: 0x435bc1b9331471d72e1998f2e420983b5189d4da65ffbd6f27ef40daf5e1ea90