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Evidence row 71602

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://bess-x402.onrender.com/v1/text/sentiment
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
29762b25b387e192174a24ec9bd84248814e2165d28f92b3387531374c6b10f4
Leaf
0xb95a522df4b096ab128a9a42767fd021545107f648d919c6d0aa72f0be7d2f9e

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://bess-x402.onrender.com/v1/text/sentiment"
    ]
  ],
  "name": "Text Sentiment",
  "owner_address": "0x1129a6bb9c6165ff07fdc509c107b522ca0e1871",
  "raw": {
    "accepts": [
      {
        "amount": "2000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x1129A6BB9C6165FF07fdC509c107B522CA0e1871",
        "scheme": "exact"
      },
      {
        "amount": "2000",
        "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:137",
        "payTo": "0x1129A6BB9C6165FF07fdC509c107B522CA0e1871",
        "scheme": "exact"
      },
      {
        "amount": "2000",
        "asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:42161",
        "payTo": "0x1129A6BB9C6165FF07fdC509c107B522CA0e1871",
        "scheme": "exact"
      }
    ],
    "description": "Sentiment of English text (reviews, posts, headlines): positive/negative/neutral label, compound score -1..1 and word shares, optionally per sentence with the most positive and negative lines. Rule-based, instant.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "text": "Great battery life. The screen scratches far too easily."
            },
            "type": "http"
          },
          "output": {
            "example": {
              "compound": 0.7579,
              "label": "positive",
              "method": "VADER lexicon (English)",
              "most_negative": "The screen scratches far too easily.",
              "most_positive": "Great battery life.",
              "negative": 0,
              "neutral": 0.519,
              "positive": 0.481,
              "sentences": [
                {
                  "compound": 0.6249,
                  "label": "positive",
                  "text": "Great battery life."
                },
                {
                  "compound": 0.34,
                  "label": "positive",
                  "text": "The screen scratches far too easily."
                }
              ]
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET",
                    "HEAD",
                    "DELETE"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "per_sentence": {
                      "description": "Score each sentence too",
                      "type": "boolean"
                    },
                    "text": {
                      "description": "English text",
                      "type": "string"
                    }
                  },
                  "required": [
                    "text"
                  ],
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-24T23:59:59.051Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-24T23:59:58.88Z"
    },
    "resource": "https://bess-x402.onrender.com/v1/text/sentiment",
    "serviceName": "Text Sentiment",
    "tags": [
      "nlp",
      "sentiment",
      "text",
      "reviews",
      "social"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Sentiment of English text (reviews, posts, headlines): positive/negative/neutral label, compound score -1..1 and word shares, optionally per sentence with the most positive and negative lines. Rule-based, instant."
}

What the leaf hashes

{"body":"29762b25b387e192174a24ec9bd84248814e2165d28f92b3387531374c6b10f4","id":71602,"kind":"listing","method":"baseline/1","observed_us":1793025483002288,"prev":null,"subject":"x402_bazaar:https://bess-x402.onrender.com/v1/text/sentiment","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. 0xb95a304f9365ec84b4f7c6eb890c754fdc154bba0b4277187dc6784d569e2548
  2. 0x44901dc79b7e7144e3cce5ecc4f510d2de215784f523c3db48f3f9158b0625aa
  3. 0x128c23b3b5791bc5fdf716619bb4940fc085ad49b1b4b84ff520529160c2fe07
  4. 0x185d2301586990fcd4894aa16768be821a3fb9c0ba6d2d531e9319e5bd04faf6
  5. 0xd529537755eda81d5dcebc9a2c59e8f0ad1d796f2f25a4787bb16b5ae1ee72bb
  6. 0xc0c7ff8143b0f4044ce617c637999abf2fb4b28e65327a9121d4dd57a17adce1
  7. 0xfa23f8ed61ff08ee1ec032532fe3064b64fae9186875bf7cd71e3344c654f573
  8. 0xae03a5f4f2b28dcf146d631f3a96e4a9c33b2aaa844f724f424b45b5b0966ccc
  9. 0x9bc815709ef4617796e520b1c2fe2f937d4fcee1ca427b494b0585f8683819ab
  10. 0x2a5c6878834071db08774384e91dbce1a180bcb1f079fcc809e29d3efca761f5
  11. 0xcf50b54d8921f0c22877e0b8d6b8393a1954218f000f7cac374e9f40a024f700
  12. 0xb6efd79902cac6d5a402ebecb8069402f00961ab80cd71b4d647fbc686d975ec
  13. 0x2f43fe2b2533a5f40c107c114e458e226102f5f8ae91f097e964345880e30928
  14. 0xf692ce2b0a640ec9f75aa960e5fb1c2c7091a04e24881798735752c19014e519
  15. 0x9f68b5e15459cb62b8c0cd4c124fa61c74147b4a5755a200fbecd21a581635d1
  16. 0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452
  17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON