Evidence row 125870

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://x402.billionaireorder.com/v1/virtual-traits"
    ]
  ],
  "name": "x402.billionaireorder.com/v1/virtual-traits",
  "owner_address": "0x2f58f210fca0e3a486eacc29057a04576aee265e",
  "raw": {
    "accepts": [
      {
        "amount": "10000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 600,
        "network": "eip155:8453",
        "payTo": "0x2f58f210fca0e3a486eacc29057a04576aee265e",
        "scheme": "exact"
      }
    ],
    "description": "For AI agents building agent swarms, synthetic users, NPCs, or trading bots. Input: archetype + prompt (e.g. 'risk-taking crypto founder'). Output: OCEAN Big Five + Dark Triad + trading psychology vector with emotional drift and memory anchors. M2M: use when you need consistent agent personality, backtest personas, or generate 1000s of synthetic traders. Pay-per-call USDC Base, no API key.",
    "extensions": {
      "bazaar": {
        "info": {
          "description": "For AI agents building agent swarms, synthetic users, NPCs, or trading bots. Input: archetype + prompt (e.g. 'risk-taking crypto founder'). Output: OCEAN Big Five + Dark Triad + trading psychology vector with emotional drift and memory anchors. M2M: use when you need consistent agent personality, backtest personas, or generate 1000s of synthetic traders. Pay-per-call USDC Base, no API key.",
          "input": {
            "body": {
              "archetype": "bullish_trader",
              "prompt": "A risk-taking crypto founder"
            },
            "bodyFields": {
              "archetype": {
                "description": "Agent archetype",
                "required": true,
                "type": "string"
              },
              "prompt": {
                "description": "Prompt",
                "required": true,
                "type": "string"
              }
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "archetype": "bullish_trader",
              "emotional_vector": {
                "primary": "euphoric"
              },
              "traits": {
                "conscientiousness": 0.7,
                "openness": 0.92,
                "risk_tolerance": 0.95
              }
            },
            "type": "json"
          },
          "title": "AI Agent Persona Generator - 12 Trait"
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "properties": {
                "body": {
                  "properties": {
                    "archetype": {
                      "type": "string"
                    },
                    "prompt": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "archetype",
                    "prompt"
                  ],
                  "type": "object"
                }
              },
              "required": [
                "body"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-22T20:58:12.38Z",
    "quality": {
      "l30DaysTotalCalls": 27,
      "l30DaysUniquePayers": 6,
      "lastCalledAt": "2026-10-22T20:58:11.417Z"
    },
    "resource": "https://x402.billionaireorder.com/v1/virtual-traits",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "For AI agents building agent swarms, synthetic users, NPCs, or trading bots. Input: archetype + prompt (e.g. 'risk-taking crypto founder'). Output: OCEAN Big Five + Dark Triad + trading psychology vector with emotional drift and memory anchors. M2M: use when you need consistent agent personality, backtest personas, or generate 1000s of synthetic traders. Pay-per-call USDC Base, no API key."
}

What the leaf hashes

{"body":"02fce38e917ff030b6a964e90efd0d8cfebae47cbd8961f88a20c186cd52d70b","id":125870,"kind":"listing","method":"baseline/1","observed_us":1793025626832100,"prev":null,"subject":"x402_bazaar:https://x402.billionaireorder.com/v1/virtual-traits","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-26 (296695 rows).

1. 0x42ed9e1e18865edb7cc1008698b5e45cbc6743bfef2a7facd24856e35c2a9ebb
2. 0xfd43362bccf4c4b9d21d9dff595922a4956a2e39dd957bf3954d34368496a5e0
3. 0x2480dbf5fa7a521780fc92ff6a530b7aec97de8ec6893a5ef1f8a148a1bcb942
4. 0x053433d2ae4d77cd17604b7ebf21decd836785f571fcd2729a450592930b789f
5. 0xf60962e0554f26f2531d22d454dc5cfeb79033e4e39f3cee427ea8a21608786e
6. 0x42990150789ee8a22fa44776b772f191731c43589c3ea751234cc3dcd0db7ee9
7. 0x731053019df08a7069fe72fb77bffca48372b42b68ba2dd17976ee65cdd8d3ed
8. 0x9f43eb8a618013b4272c656207c98697a0af93823f1738a0e2e05168abc33695
9. 0x5ca33861f9ff5c729505165c540f038bde12f94c4e993e4a54d39fe9d51c4199
10. 0xc268ff3f1dd69d7c668cdb05ded405db6f682a95f21c57e98e683c14e6e2ff89
11. 0x5209b44231d259fd8508722a1ae64f1b73c7b7f19b456b1ecd950d5b281c35b6
12. 0x58f4330f9ac32da273a2a76d85bc0768d037638cddbd3d1f09d9b64094bfd942
13. 0xd406739acce2ba016f8d49081b15f266a4ea4a0b0fc5ef171c89c8fd2dda4d80
14. 0x8b27a4c21bf4ba962fd008c8f4300bc6953764a5032b9ab0cfe696b318c45326
15. 0x4b52a97f7a80ff7778a702b85267b8d2e5c93ce160942656435c29ae7be68bf4
16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae