← The evidence ledger
Evidence row 18737
Observed , by sync.x402_bazaar/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://agentsvc.io/api/v1/proxy/news-sentiment
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 2c36e3ac53712c6451a12a6cacad2a4298f899e4020fd5eae6208f1f661ef83b
- Leaf
- 0x93b64afdb3d783a1e9c141e5bd896b4162f9206767465d362bb18e4176ed3bf9
What was observed
{
"endpoints": [
[
"x402",
"https://agentsvc.io/api/v1/proxy/news-sentiment"
]
],
"name": "News Sentiment Analysis",
"owner_address": "0x622efa6ceb83a5b6edbc931332f4db68b7f74f27",
"raw": {
"accepts": [
{
"amount": "6000",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"network": "eip155:8453",
"payTo": "0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27",
"scheme": "exact"
},
{
"amount": "6000",
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"extra": {
"feePayer": "Hc3sdEAsCGQcpgfivywog9uwtk8gUBUZgsxdME1EJy88"
},
"maxTimeoutSeconds": 300,
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"payTo": "5JzPS5qpEwUM1vTC9GG7uqvwJdHzbEwfoPHf2Ki977tg",
"scheme": "exact"
},
{
"amount": "6000",
"asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"network": "eip155:137",
"payTo": "0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27",
"scheme": "exact"
},
{
"amount": "6000",
"asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"network": "eip155:42161",
"payTo": "0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27",
"scheme": "exact"
}
],
"description": "News sentiment for a company, token, person or topic: finds up to 25 recent articles in our own news index (GDELT and Hacker News, last 7 days) and rates how the coverage reflects on the topic: overall label (very negative to very positive), a -1 to 1 score, positive, neutral and negative counts, 3 to 5 themes, a two-sentence summary and every article with its own sentiment, title, source, date and URL. For trading signals, brand monitoring and research agents.",
"extensions": {
"bazaar": {
"category": "text",
"info": {
"input": {
"body": {
"limit": 8,
"topic": "Bitcoin"
},
"bodyType": "json",
"method": "POST",
"type": "http"
},
"output": {
"example": {
"data": {
"analysed_at": "2026-10-10T10:12:15.017Z",
"articles": [
{
"published_at": "2026-10-09T21:30:00.000Z",
"sentiment": "neutral",
"source": "indiatimes.com",
"title": "Bitcoin BTC USD price analysis: Bitcoin's four-month higher-low pattern expla...",
"url": "https://economictimes.indiatimes.com/news/international/us/bitcoins-four-mont..."
}
],
"counts": {
"negative": 1,
"neutral": 5,
"positive": 2
},
"model": "claude-haiku-5-5",
"overall": "mixed",
"score": 0.1,
"summary": "Coverage of Bitcoin is split between price-technical analysis showing uncerta...",
"themes": [
"price volatility and technical levels"
],
"topic": "Bitcoin",
"window": "last 7 days, our news index (GDELT and Hacker News)"
},
"success": true
},
"type": "json"
}
},
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"category": {
"enum": [
"general",
"tech",
"business",
"science",
"health",
"politics"
],
"type": "string"
},
"limit": {
"default": 15,
"maximum": 25,
"minimum": 5,
"type": "integer"
},
"topic": {
"description": "Company, token, person or topic, e.g. Bitcoin or Siemens",
"type": "string"
}
},
"required": [
"topic"
]
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST",
"PUT",
"PATCH"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"data": {
"properties": {
"analysed_at": {
"type": "string"
},
"articles": {
"items": {
"properties": {
"published_at": {
"type": "string"
},
"sentiment": {
"type": "string"
},
"source": {
"type": "string"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
}
},
"type": "object"
},
"type": "array"
},
"counts": {
"properties": {
"negative": {
"type": "integer"
},
"neutral": {
"type": "integer"
},
"positive": {
"type": "integer"
}
},
"type": "object"
},
"model": {
"type": "string"
},
"overall": {
"type": "string"
},
"score": {
"type": "number"
},
"summary": {
"type": "string"
},
"themes": {
"items": {
"type": "string"
},
"type": "array"
},
"topic": {
"type": "string"
},
"window": {
"type": "string"
}
},
"required": [
"topic",
"overall",
"score",
"articles"
],
"type": "object"
},
"success": {
"type": "boolean"
}
},
"required": [
"success",
"data"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
},
"tags": [
"sentiment-analysis",
"news-analytics",
"market-sentiment",
"brand-monitoring",
"media-monitoring",
"sentiment",
"news",
"analysis",
"ai",
"monitoring"
]
},
"builder-code": {
"info": {
"a": "bc_q6wi3opd"
}
}
},
"iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1791462963/bazaar-icons/243ff0b79dbee242.png",
"lastUpdated": "2026-10-26T04:13:21.84Z",
"quality": {
"l30DaysTotalCalls": 5,
"l30DaysUniquePayers": 2,
"lastCalledAt": "2026-10-26T04:13:21.549Z"
},
"resource": "https://agentsvc.io/api/v1/proxy/news-sentiment",
"serviceName": "News Sentiment Analysis",
"tags": [
"sentiment-analysis",
"news-analytics",
"market-sentiment",
"brand-monitoring",
"media-monitoring"
],
"type": "http",
"x402Version": 2
},
"source": "x402_bazaar",
"summary": "News sentiment for a company, token, person or topic: finds up to 25 recent articles in our own news index (GDELT and Hacker News, last 7 days) and rates how the coverage reflects on the topic: overall label (very negative to very positive), a -1 to 1 score, positive, neutral and negative counts, 3 to 5 themes, a two-sentence summary and every article with its own sentiment, title, source, date and URL. For trading signals, brand monitoring and research agents."
}What the leaf hashes
{"body":"2c36e3ac53712c6451a12a6cacad2a4298f899e4020fd5eae6208f1f661ef83b","id":18737,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793025330476633,"prev":null,"subject":"x402_bazaar:https://agentsvc.io/api/v1/proxy/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).
- 0x93b7321e3c0b2db4e915babc3fc9b3beb8ed454f08f4fcdda63b25e823d2a084
- 0xee2af5d46c482401de97e1782b50ed561e0fc98eb6a1e7bfcbfe91f8a4632356
- 0x8750be3ad58d9a6855ed85860ad307815face4646d301a6aad44865aa280902d
- 0x2fc84b54cfc80cdc4c4b12ffd9c66d6cf0f5a18a7fb8bbb4ec20fd82841b2d3e
- 0xe363216df017cf13579a4344d01b60193dc3c39c1981fd04588081bb7cb78d16
- 0x97169c0ab57d8bb99a9881413a275889e3ba17bdc84a541836f39e1640d29f2a
- 0x70c5761f845ab039968987fdd42de79f9b3063c46d8555f11b462f7f9aa828b5
- 0xbce0acc2bb80fccf5aa6f93116425f79d79729ddb5dfe17bdb4dbe2e1ff00e9e
- 0x73887d9db468ce8d035622c758f02d239de6ddda029fca8d8aedf7f0dcf5bf65
- 0x1452bac1c16ed1a13fd24d016370307a5402f74d73cad5641a5508fdb4d2c5cb
- 0xcd52656344e352446858a7d55feb9336b07dd3ad98715c122aaf69d4eb3d6ca8
- 0x3b55f6d5345bce3e1332e014f19526d25328fb6283d3518837a015c3621c0d1c
- 0x45c1d3062bbe98a6b1540c7e2ccf6516eedd6ef07fdfeb1ba77ee6272970447c
- 0xf0edabbb9ba0d643e5505d19d07637eb6f6aed0a1c7356af43ae7d84ae9ef0c5
- 0xf0bd63870f0bb378fa300bd33563050dcb7b3e02b44eb3ee550c1c534ec4b246
- 0x1ac20d30773e1f4f2f811540e9a99b5cca9177c9e2e029acc0d80cf3f1d11f0f
- 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
- 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
- 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae