addrbookFor publishers
← The evidence ledger

Evidence row 116646

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://market.memoryapi.org/x402/market/news_sentiment
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
cae2a479bfe0c2dd3c62c222d638c3f7c8823a0bf508ccadd1fa80bba3d99811
Leaf
0xad6a9d032bf4391a95e1e5cde31f96f1670b3e0badb905ac5259817c508edd5e

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.memoryapi.org/x402/market/news_sentiment"
    ]
  ],
  "name": "market.memoryapi.org/x402/market/news_sentiment",
  "owner_address": "0x24facafeb49b4e3facf0b3e69604a2f4640c9bf2",
  "raw": {
    "accepts": [
      {
        "amount": "5000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x24FAcafEB49b4e3FACF0B3e69604A2F4640c9bf2",
        "scheme": "exact"
      }
    ],
    "description": "Financial news with sentiment analysis from Marketaux. Per-symbol sentiment aggregation.",
    "extensions": {
      "bazaar": {
        "info": {
          "description": "Financial news sentiment from Marketaux. Analyzes news articles for specified symbols (default: AAPL,MSFT,NVDA) and provides BULLISH/BEARISH/NEUTRAL labels based on aggregated sentiment scores.",
          "iconUrl": "https://memoryapi.org/icon.png",
          "input": {
            "method": "GET",
            "queryParams": {
              "limit": "10",
              "sentiment": "all",
              "symbols": "AAPL,MSFT,NVDA"
            },
            "schema": {
              "properties": {
                "limit": {
                  "description": "Number of articles (default: 10, max: 25)",
                  "type": "integer"
                },
                "sentiment": {
                  "description": "Filter: positive|negative|all (default: all)",
                  "type": "string"
                },
                "symbols": {
                  "description": "Comma-separated tickers (default: AAPL,MSFT,NVDA)",
                  "type": "string"
                }
              },
              "required": []
            },
            "type": "http"
          },
          "output": {
            "example": {
              "article_count": 10,
              "articles": [],
              "by_symbol": [
                {
                  "article_count": 4,
                  "avg_sentiment": 0.35,
                  "sentiment_label": "BULLISH",
                  "symbol": "AAPL"
                }
              ],
              "source": "Marketaux",
              "success": true,
              "symbols": "AAPL,MSFT,NVDA"
            }
          },
          "serviceName": "MemoryAPI Market",
          "tags": [
            "finance",
            "stocks",
            "crypto",
            "market"
          ]
        },
        "schema": {
          "properties": {
            "input": {
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                }
              },
              "required": [
                "method"
              ]
            }
          }
        }
      }
    },
    "lastUpdated": "2026-10-08T06:10:10.459Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-08T06:10:10.349Z"
    },
    "resource": "https://market.memoryapi.org/x402/market/news_sentiment",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Financial news with sentiment analysis from Marketaux. Per-symbol sentiment aggregation."
}

What the leaf hashes

{"body":"cae2a479bfe0c2dd3c62c222d638c3f7c8823a0bf508ccadd1fa80bba3d99811","id":116646,"kind":"listing","method":"baseline/1","observed_us":1793025609884633,"prev":null,"subject":"x402_bazaar:https://market.memoryapi.org/x402/market/news_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. 0xad6a07a18533be8740491dc115bfa5726cf4b33d8ca69eb937ae7e2997ee3e98
  2. 0xab97a71560b9e77a24c95654ee349d5cdf566bf6492fdfdc7daec9c6465edc28
  3. 0x1cd7e23ce2b217d00b18ee83316faa9a755a2965fcf28520da79a3708840e386
  4. 0x3254c97d2bed834d92ca89c74fba62b848d58cd23b69fcc6216fe6601a3004c5
  5. 0xef8dab419db82ea73f741bc35bb6d2de1fe62247017f9394bcfe17dff3d14188
  6. 0xca4eb02dd2a0cc3013dfe8d6a9648067ebcecc6202d96f7287127cdbe982508f
  7. 0x190e88be2c26c7761cf3e1bdc505b62b312159f13303db62fa2adf259a200f72
  8. 0x8bb3bc09486d60da457fe2198bfed53b5b048a34f1bb4c78a3c55e2651f84dee
  9. 0xbbbcdb2a68b371a0b7b0af22f935a0deedf517e33fcff3c1e319aa53090c36c0
  10. 0x69f5e36901c930d3d90499bc3b7d9e7644e48cf4f26d1ebf8d605ee5e9424913
  11. 0x317c51a47b234292d19f812377ad1cc4d05ded07987c4ea1ac9ae1ad2b20f0d2
  12. 0x51f06c175a7c946ebe50ef243d6f9370a8fe85c996e53eff19ffcc4585ea8c18
  13. 0xe292b5a99219f136bce6647ce74b21240a1c7331d2475b1839220fd363c94217
  14. 0x3b4dba7d874fc323b0a364140a9c60f37bf547fe671897653118a9873fe03420
  15. 0x1a74ed3b3756b9cd946da49701bcec120ec88645013da99fa9eea60b39e1a570
  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