addrbookFor publishers
← The evidence ledger

Evidence row 3970799

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://tanod.dev/v1/embed
Recorded
Previous row
#2636437
Body SHA-256
9d07af7931fcfbf288060f9264daf1c7be09d654258c327090f789f2a3859ab8
Leaf
0xc1418915c6d9a80ec39f7b5796656a35540655b103cd4fd0b179bd207cb19b31

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": 2,
      "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":"9d07af7931fcfbf288060f9264daf1c7be09d654258c327090f789f2a3859ab8","id":3970799,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1794083664050040,"prev":2636437,"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 (195826 rows).

  1. 0xc141a5602edd20f2d42775dad0105d2f9554a6564ead7da4a94c7bec4ac49afa
  2. 0xd9357cb702dbd0576e0068048d483a9630f744f2b80d481a3fcd3cba8462c60e
  3. 0xb80820976934bfdd4e0eb9207d0b869027fd7d9d134d1090fabbbb8f4b4943aa
  4. 0xe0dd053b7b907da2f567437c5d6394c32d47c5bf4001a43a68a7d58a53ac7811
  5. 0xd57669249b268109143ffc82b9f3b8b068b7f893206ef6d0b032a4267ddb2fc1
  6. 0x4ec734299b71064edf62266a85c5938631b43e2e3f158f0d28e04c5e781a1343
  7. 0x038e46fc201d918c21b27aa785423789d8d2dd76ac49a06971a2fd665a832f73
  8. 0x6dbefb975593a11e1716a9f2cc57503111f89c0797c711d41d3c48c6239a1ab1
  9. 0x1094fb0b6a23ad74bfc99a74bbf56ba223353ec916969ff77c30643f744ae816
  10. 0xcf49fea2a9d99173a5337f62ac86de72c6d2b7953715e7c07d9a8be00c661d23
  11. 0x1abb8ec52cefc02713add1de2564b8ac58e52507f597a8af5c554bc7c3b8303c
  12. 0x1df3f0f6a4629e2ef2efcd3b5d19c6944ea2fdb0ea0d7d744baa98e6efc753c4
  13. 0x6da57bac13a3d747bd5ab6e3bc301f77a33423bf49d8a86a45250fad500ff0ff
  14. 0x377e506e7caa62a458c54a51036fb3c308f8113f5f6e53d577ff2a07c84142c4
  15. 0x8d59bf422a3db88dd24fca3b92cb99d28bd5632a71eaf94e51b925600c735b27
  16. 0x3235c8a33ac14441f1a12a6515f670286d48b48fa98eb1dce45d902e053abe01
  17. 0x9ea7c2ecc6985da4b761b0f9096b7858b3ac8e3e47717c3840537fb2ff31c6df
Day root
0x17da9e85e1b138541355d33543ff34e3503cd3a49d37728fb53643e2a0416a2d
Chained
0xed34bd4af17282643de8cb9591c84d0aa1b39e1e9ae9864941e543f5a15718cb
Published
On Arc Testnet, block 71280839: 0xc3f6784179e0ca32236ba89472473e882a81d03fcc5ce27ca58ded2e01e112aa

How to check it · This row as JSON