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Evidence row 71212

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://archtools.dev/v1/tools/sentiment-analysis
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
d606092c57bcd6c5b1d3572e1a14835b3f20d65b7fe7bfb17907225c577da798
Leaf
0x3e2787040897b7c72f4f1f5ff83f7430c546d2ea9272664f0c610ecaf1ebc1ca

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://archtools.dev/v1/tools/sentiment-analysis"
    ]
  ],
  "name": "archtools.dev/v1/tools/sentiment-analysis",
  "owner_address": "0x2583aac89f58a63d9ccbedaa5e3baf2196aa967e",
  "raw": {
    "accepts": [
      {
        "amount": "15000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 60,
        "network": "eip155:8453",
        "payTo": "0x2583aAc89f58a63D9CCbeDaa5e3BaF2196Aa967e",
        "scheme": "exact"
      },
      {
        "amount": "15000",
        "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 60,
        "network": "eip155:137",
        "payTo": "0x2583aAc89f58a63D9CCbeDaa5e3BaF2196Aa967e",
        "scheme": "exact"
      },
      {
        "amount": "15000",
        "asset": "0xfde4C96c8593536E31F229EA8f37b2ADa2699bb2",
        "extra": {
          "name": "Tether USD",
          "version": "2"
        },
        "maxTimeoutSeconds": 60,
        "network": "eip155:8453",
        "payTo": "0x2583aAc89f58a63D9CCbeDaa5e3BaF2196Aa967e",
        "scheme": "exact"
      },
      {
        "amount": "15000",
        "asset": "0xc2132D05D31c914a87C6611C10748AEb04B58e8F",
        "extra": {
          "name": "Tether USD",
          "version": "2"
        },
        "maxTimeoutSeconds": 60,
        "network": "eip155:137",
        "payTo": "0x2583aAc89f58a63D9CCbeDaa5e3BaF2196Aa967e",
        "scheme": "exact"
      }
    ],
    "description": "Classify text as positive, negative or neutral with scores and emotion detection. Instant NLP for reviews, support and social. Pay per call with USDC (x402) or credits - archtools.dev",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "text": "example"
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "ok": true
            },
            "type": "json"
          }
        },
        "routeTemplate": "/v1/tools/sentiment-analysis",
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "properties": {
                "body": {
                  "properties": {
                    "text": {
                      "description": "Text to analyze",
                      "type": "string"
                    }
                  },
                  "required": [
                    "text"
                  ],
                  "type": "object"
                }
              },
              "type": "object"
            }
          },
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-13T08:39:17.77Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-13T08:39:17.269Z"
    },
    "resource": "https://archtools.dev/v1/tools/sentiment-analysis",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Classify text as positive, negative or neutral with scores and emotion detection. Instant NLP for reviews, support and social. Pay per call with USDC (x402) or credits - archtools.dev"
}

What the leaf hashes

{"body":"d606092c57bcd6c5b1d3572e1a14835b3f20d65b7fe7bfb17907225c577da798","id":71212,"kind":"listing","method":"baseline/1","observed_us":1793025481797625,"prev":null,"subject":"x402_bazaar:https://archtools.dev/v1/tools/sentiment-analysis","subject_kind":"source_record"}

Proof

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

  1. 0x3e27df1b61d245fd1af69eff5f4c995c03a6dca3b3c41978552d4cd2839963fd
  2. 0x8701b745a644410d723509fdf9e18b31ac4a1c08e8fef5ea174faf2c0228fa7b
  3. 0x46c652e316b6ddfd82e129f1830993883c8de4bb17977eeebb9d58670ea0d33b
  4. 0xffc9996fb260dc87dcfe502f32f4d0d151383458c822430fe33a995bc8c36029
  5. 0x86bb074a4eed6454910ec84b43c6a33537462817e3aaae138e36c5b10c1ad0b1
  6. 0xe20952110482f85ad53bb8981725fe7f6de114810542fa57ca6e7161eececcf3
  7. 0x22f28b3b07b528cf0bf37058b70b6f2bfa609c810b9c13dc26242bd99a1afdcf
  8. 0xd2fe879dcfa98a48df5c2114a61da85f0615fb0c7859549e26f5e362a785473a
  9. 0x71cde1f2e46f64433ce26a600644420786ceae66a8a84d9a72f83569bd443be3
  10. 0x8e5649068bfe1600b5f38cb8d5f950b0cad91a024600039e3ba08f751258e697
  11. 0xeff3ae4ccee9e9ab663bed39de24a2076950808876228a89701d6ab7f016bd7e
  12. 0x1afc0318a98c6dbb5a80e5cb86eba22b844e3f3b185a16f17290e29ab7410f55
  13. 0x215f432600b78f2e7c9629cd10ce6ce4b7f3351b0b71f3f2c7dcb8e650f6cd63
  14. 0x7f594f5609f388d64d3cda87b5631d393ee8300bb09bad71f150113a5886ee33
  15. 0x4b52a97f7a80ff7778a702b85267b8d2e5c93ce160942656435c29ae7be68bf4
  16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
  17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON