← The evidence ledger
Evidence row 527103
Observed , by sync.x402_bazaar/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://agentsvc.io/api/v1/proxy/news-sentiment
- Recorded
- Previous row
- #452157
- Body SHA-256
- e6eaa4d6630a89ced79b5637e5a01cbe1214f58b6f8cd1a08d7e462ccc167bb1
- Leaf
- 0x7492360fe3a2eba39212237c5b29c5842c7ab08c04628b5504bdf507b849e8da
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": "2026-10-27T10:00:44.404Z",
"quality": {
"l30DaysTotalCalls": 6,
"l30DaysUniquePayers": 3,
"lastCalledAt": "2026-10-27T10:00:44.088Z"
},
"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":"e6eaa4d6630a89ced79b5637e5a01cbe1214f58b6f8cd1a08d7e462ccc167bb1","id":527103,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793124794301877,"prev":452157,"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 (273461 rows).
- 0x7491ea0f6b0e1e175424f91f1bd3dfa42fc517f7ad0725a080938e37f8a43d96
- 0xcfbf3d0179777637cea5e4b3896241061ed13da643a63bd64185b075d1b14b52
- 0x102c5f9e95855fc0bc9814bc04df6a49fa1949e6c449e86ecce3232b34787efa
- 0x405e3dc3b093f921ea771351e4460e25e37b52a68608933db0cde779926bf1c4
- 0x17873d1625e86ffdd36f34c8a86f38ed431178f0593c955ad51913761e5d8760
- 0x3246cf18422b6725c8a01d83b38e7228ceb2a9649dd5d8d85e5d2edcde0dabca
- 0xf42cc2dd2d946a6c297ebf3d212b6a58150a17574e169f0e1898c381c10f5ee7
- 0x56beb097a71f742af4ddd45dcb0b218b1bd0fae50a6e69022bb07dabaf4c9b8b
- 0x1e233cb2a94e858d68184f213f3ffd82ad65d52a9e1fdab172c98f505e5e89ff
- 0x9493aba2492f75151d57e31ffc8db1954a6902dab8a752b7a4b6973dbb3cf815
- 0xbadb694e30e3b4990c80e04bb35fb64efec74cc8e401fd0ef8cb0e7b20c88505
- 0x58a1b7d7965722efb70d69acfb10b39e77f817864b8d4b4069d33ff29884a3bd
- 0x4094bd5bc2ab60e4518d1ee8a13455a69d7484ea62ecdca2618d0f39d3403503
- 0x9848c068b1371232529d2b5738fdc45b854c57da041b69ea7c9e112b14e2d9d1
- 0x275720ecabb68df33eee92ae4fd70572a8d952d6c61c061c2869cfc3217aa5c5
- 0x23cf9bb4337ee8be7fcae368fd69d24c62c11fb45882127b4cd919bb96a19996
- 0x0e01aa9525097570a6edaf32bfc959de57bf5c24317cf10c0716affea85ca60d
- 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
- 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
- Day root
- 0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
- Chained
- 0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
- Published
- On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4