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Evidence row 2636437

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://tanod.dev/v1/embed
Recorded
Previous row
#122257
Body SHA-256
4a708134c157aaf495776c04d83c97ebea4f666fa3430ffdd6098db6f56ac525
Leaf
0x07c3ae36ea60c7b60aa1f1e10ca86f125aa5cb50e1a403d00e05186846cf5502

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://tanod.dev/v1/embed"
    ]
  ],
  "name": "Tanod mlpeek",
  "owner_address": "0x593857a4a4f619543ea12394137c3004ce841720",
  "raw": {
    "accepts": [
      {
        "amount": "1000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x593857A4a4F619543ea12394137C3004ce841720",
        "scheme": "exact"
      },
      {
        "amount": "1000",
        "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:137",
        "payTo": "0x593857A4a4F619543ea12394137C3004ce841720",
        "scheme": "exact"
      },
      {
        "amount": "1000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "CjNFTjvBhbJJd2B5ePPMHRLx1ELZpa8dwQgGL727eKww"
        },
        "maxTimeoutSeconds": 300,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "RMk9k3VC8dr4hhjgFh88rGhjAbzfBzHxJJ5n2fTcqus",
        "scheme": "exact"
      },
      {
        "amount": "1000000000000000",
        "asset": "0x8AC76a51cc950d9822D68b83fE1Ad97B32Cd580d",
        "extra": {
          "assetTransferMethod": "permit2",
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:56",
        "payTo": "0x593857A4a4F619543ea12394137C3004ce841720",
        "scheme": "exact"
      },
      {
        "amount": "1000",
        "asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:42161",
        "payTo": "0x593857A4a4F619543ea12394137C3004ce841720",
        "scheme": "exact"
      },
      {
        "amount": "1000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "GatewayWalletBatched",
          "verifyingContract": "0x77777777dcc4d5a8b6e418fd04d8997ef11000ee",
          "version": "1"
        },
        "maxTimeoutSeconds": 604900,
        "network": "eip155:8453",
        "payTo": "0x593857A4a4F619543ea12394137C3004ce841720",
        "scheme": "exact"
      },
      {
        "amount": "1000",
        "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
        "extra": {
          "name": "GatewayWalletBatched",
          "verifyingContract": "0x77777777dcc4d5a8b6e418fd04d8997ef11000ee",
          "version": "1"
        },
        "maxTimeoutSeconds": 604900,
        "network": "eip155:137",
        "payTo": "0x593857A4a4F619543ea12394137C3004ce841720",
        "scheme": "exact"
      }
    ],
    "description": "Text embeddings: 384-dim vectors (bge-small-en or multilingual-e5-small). USD 0.0005 per text, at least USD 0.001 per call (1-64 texts per call: USD 0.001-0.032). This call: 1 text. Use when an agent needs vector embeddings of texts for semantic search or clustering.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "texts": [
                "What is x402?"
              ]
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "data": [
                {
                  "embedding": [],
                  "index": 0
                }
              ],
              "dimensions": 384,
              "encoding": "float",
              "input_type": "none",
              "model": {
                "id": "bge-small-en-v1.5",
                "source": "BAAI/bge-small-en-v1.5"
              },
              "normalized": true,
              "prefix_applied": null,
              "usage": {
                "texts": 1,
                "tokens": 8
              }
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "encoding": {
                      "default": "float",
                      "description": "base64 = little-endian float32 bytes.",
                      "enum": [
                        "float",
                        "base64"
                      ],
                      "type": "string"
                    },
                    "input_type": {
                      "default": "none",
                      "description": "Retrieval prefix: query / passage (e5: 'query: ' / 'passage: '; bge: its query instruction / nothing). none = symmetric use.",
                      "enum": [
                        "none",
                        "query",
                        "passage"
                      ],
                      "type": "string"
                    },
                    "model": {
                      "default": "small-en",
                      "description": "small-en = BAAI/bge-small-en-v1.5 (English); multilingual = intfloat/multilingual-e5-small (~100 languages). 384 dimensions both.",
                      "enum": [
                        "small-en",
                        "multilingual"
                      ],
                      "type": "string"
                    },
                    "normalize": {
                      "default": true,
                      "description": "L2-normalise (cosine similarity = dot product).",
                      "type": "boolean"
                    },
                    "texts": {
                      "description": "1-64 texts, each at most 8,000 characters; each is truncated at 512 tokens (reported per text). Priced per text, minimum USD 0.001 per call.",
                      "items": {
                        "maxLength": 8000,
                        "minLength": 1,
                        "type": "string"
                      },
                      "maxItems": 64,
                      "minItems": 1,
                      "type": "array"
                    }
                  },
                  "required": [
                    "texts"
                  ],
                  "type": "object"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      },
      "builder-code": {
        "info": {
          "a": "bc_h7pxv14u"
        },
        "schema": {
          "additionalProperties": false,
          "properties": {
            "a": {
              "pattern": "^[a-z0-9_]{1,32}$",
              "type": "string"
            },
            "s": {
              "items": {
                "pattern": "^[a-z0-9_]{1,32}$",
                "type": "string"
              },
              "maxItems": 11,
              "type": "array"
            },
            "w": {
              "pattern": "^[a-z0-9_]{1,32}$",
              "type": "string"
            }
          },
          "type": "object"
        }
      },
      "erc20ApprovalGasSponsoring": {
        "info": {
          "description": "The facilitator accepts a raw signed approval transaction and will sponsor the gas fees.",
          "version": "1"
        },
        "schema": {
          "properties": {
            "amount": {
              "pattern": "^[0-9]+$",
              "type": "string"
            },
            "asset": {
              "pattern": "^0x[a-fA-F0-9]{40}$",
              "type": "string"
            },
            "from": {
              "pattern": "^0x[a-fA-F0-9]{40}$",
              "type": "string"
            },
            "signedTransaction": {
              "pattern": "^0x[a-fA-F0-9]+$",
              "type": "string"
            },
            "spender": {
              "pattern": "^0x[a-fA-F0-9]{40}$",
              "type": "string"
            },
            "version": {
              "pattern": "^[0-9]+(\\.[0-9]+)*$",
              "type": "string"
            }
          },
          "required": [
            "from",
            "asset",
            "spender",
            "amount",
            "signedTransaction",
            "version"
          ],
          "type": "object"
        }
      },
      "payment-identifier": {
        "info": {
          "required": false
        },
        "schema": {
          "properties": {
            "id": {
              "maxLength": 128,
              "minLength": 16,
              "pattern": "^[a-zA-Z0-9_-]+$",
              "type": "string"
            },
            "required": {
              "type": "boolean"
            }
          },
          "required": [
            "required"
          ],
          "type": "object"
        }
      }
    },
    "iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1791364949/bazaar-icons/d8143c9bc952f5cd.png",
    "lastUpdated": "2026-11-03T01:11:57.591Z",
    "quality": {
      "l30DaysTotalCalls": 3,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-11-03T01:11:56.92Z"
    },
    "resource": "https://tanod.dev/v1/embed",
    "serviceName": "Tanod mlpeek",
    "tags": [
      "text-embeddings",
      "embed",
      "embeddings",
      "mlpeek"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Text embeddings: 384-dim vectors (bge-small-en or multilingual-e5-small). USD 0.0005 per text, at least USD 0.001 per call (1-64 texts per call: USD 0.001-0.032). This call: 1 text. Use when an agent needs vector embeddings of texts for semantic search or clustering."
}

What the leaf hashes

{"body":"4a708134c157aaf495776c04d83c97ebea4f666fa3430ffdd6098db6f56ac525","id":2636437,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793734571519071,"prev":122257,"subject":"x402_bazaar:https://tanod.dev/v1/embed","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (425475 rows).

  1. 0x07c3c37e12947f8748e9d9f79e748a56b7b32852ef8ccafba22a1a6e0edbbada
  2. 0x04f45d9eddba6a55415b2abf9c4836d85062dbc310330344bae62b43250fb698
  3. 0x7efe8c3dd032bd483c3ea89ae594e480bbf9782580985a1255f0241d4f7b0c5f
  4. 0x769390134f23f0267903989deeb28a1f4f3fe53c2bc38edb7dda6b822ae37b47
  5. 0x106f4a1242a849a3b3a01109ef5fb52f771672ff83033c911b1dc137a8e3dad4
  6. 0x0db897f91a468b54f76f5c809b414db50b1d7adadf1c5c3f7aa33f1444dc23c1
  7. 0xbd3e44b3640567765eb25e06cc74adff60b7fa8b89024262b670e04dd9dbb470
  8. 0xe7b999d078a6699e47e80af03117aaf8eef11e569dce9321eb52f84f0fb59b06
  9. 0xc7a61464d51d57a212242d47f8fe8cf5ddce1c6a51765c65d45f08cab27e6cda
  10. 0x741020a3f425af807542c06a6ce75c1c2d2210b8558f490c67e8946b8ef60e4a
  11. 0xa005443ddad7064f9f6b30b4de84dad237a6d82172e611bb9c3f13129cb8b32a
  12. 0xaca26b4858c092fa669d65992083ad40aad05d636d4c6901ba18a08d12754f74
  13. 0x394e8598ae2af6d79de9c7634464932da90d62d762702fa202424a45582a05df
  14. 0x93ab7dcb2777a66a8864a3266602159fa29a49683bf095a1ec2a005ab2d78703
  15. 0x4c65946e46ac859ee8bcd510bd1ff838776ef9d9a553f743da25e2fd4c4ec5c8
  16. 0x06da6e1933d86a9ec29befc4660e18827c5663bfa2083536fe460228c0434945
  17. 0xa82fcd0af08a38380e777cb578b71498d941c589c6401f31d445e1685adcc978
  18. 0x012ad914f3f945da3b6b48eddc7a1388613e4afc04339deb76c609611864e9b9
  19. 0xe35032d4b064b015fe60638756eeb0bc24e7c7943586468d33349341ee0ed3d6
Day root
0xb646ffa569e24bf8336b0a15a9d98d0a2f1239f58e10c2b18a9d22e43343566a
Chained
0x35e926359fd19031c6b5e08fb3b44f2524386a57c8fdd353336c185603f53d43
Published
On Arc Testnet, block 70601990: 0xa5f9dadba13cde129126b950e64b815e6833cb8ff53b75026c9dbe769c3768c7

How to check it · This row as JSON