← The evidence ledger
Evidence row 580186
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint 700e7557-4254-42da-ac8a-f7b9c0f07a17
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 3ba03c0266b39ca0df982062fc14a6444843863dbaf4c27e4b58766982c32954
- Leaf
- 0x46645601ba03afab0040e673f6931ff0bbc8a1c5f1e8807200bbc71c0694e274
What was observed
{
"count": 4,
"tools": [
{
"description": "按公开 slug 获取一个已公开且可立即体验的 LifeVerse 产品。产品使用说明会随产品一同返回。",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"slug": {
"description": "产品公开 slug。",
"maxLength": 100,
"pattern": "^[a-z0-9]+(?:-[a-z0-9]+)*$",
"type": "string"
}
},
"required": [
"slug"
],
"type": "object"
},
"name": "lifeverse_get_product"
},
{
"description": "列出 LifeVerse 已公开且可立即体验的产品。不会返回开发中、内测、价格、支付或内部审核信息。",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"category": {
"description": "可选的产品分类筛选。",
"enum": [
"游戏",
"互动体验",
"效率工具",
"创新应用"
],
"type": "string"
}
},
"type": "object"
},
"name": "lifeverse_list_products"
},
{
"description": "当用户描述问题、目标或想体验的场景时,从 LifeVerse 已公开且可立即体验的 AI 产品和互动体验中推荐最匹配的选项。适用于人生选择、商业报价、情侣争议、邮件营销、机会发现、穿搭美甲、股票复盘和人生经营等需求。",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"category": {
"description": "可选的产品分类约束。",
"enum": [
"游戏",
"互动体验",
"效率工具",
"创新应用"
],
"type": "string"
},
"limit": {
"default": 3,
"description": "最多推荐多少项,范围 1 至 5。",
"maximum": 5,
"minimum": 1,
"type": "integer"
},
"need": {
"description": "用户的自然语言需求、问题或想体验的场景。",
"maxLength": 200,
"minLength": 1,
"type": "string"
}
},
"required": [
"need"
],
"type": "object"
},
"name": "lifeverse_recommend_products"
},
{
"description": "按名称、分类、用途与能力搜索 LifeVerse 已公开且可立即体验的产品。",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"limit": {
"default": 5,
"description": "最多返回多少项,范围 1 至 10。",
"maximum": 10,
"minimum": 1,
"type": "integer"
},
"query": {
"description": "自然语言关键词,例如:客户报价、人生选择、短线盯盘。",
"maxLength": 200,
"minLength": 1,
"type": "string"
}
},
"required": [
"query"
],
"type": "object"
},
"name": "lifeverse_search_products"
}
]
}What the leaf hashes
{"body":"3ba03c0266b39ca0df982062fc14a6444843863dbaf4c27e4b58766982c32954","id":580186,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793143651844848,"prev":null,"subject":"700e7557-4254-42da-ac8a-f7b9c0f07a17","subject_kind":"endpoint"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (273461 rows).
- 0x46641ae403bd7fccdf54b4b26025f2311f7b4671e9d109fd4836a5503a22ce64
- 0x51c94c6628a6eb845117b497899f5d906b82e2c10433eeb5fb2742f0a49a270e
- 0xd05557c906fd8e0298367cf72f92e3c7d7033bd7fa17e444ef48f38f25dfd3c5
- 0xa3488cda70be1280e42eb84bc13865d7a8092eb3488be60d5210e2369098599e
- 0x4fc6feb958e1ad407755402ec2739809f68f0689fbd5200defed5972066133c8
- 0xa46fc716b841395ba3a51543849ac58bdad33b19b58f09a9bcff7f9991c56624
- 0x70a5452c1daa70819ab44c1853ecbdf54256f01a5fd2dd99a5f18fe0bd57d9d4
- 0xa8b5cb8de2a28d28434a9da3b828f22d4056dc8831695839115e1b6db7c12e04
- 0xa5eec167b21289d0b220adf013cef37be6e80d0c340f79b40fc3c87fa3350622
- 0x703979466834e21efcf7e33bb43c312019552c466fef47185c9b8ce5848a1068
- 0x6ed6652c0a61c43ddac9d506feb91d6c0a14dfe1cb98614f64edec2e4d6f5a91
- 0x92473b1fa79263164c4ce7d79f93b1dc8a85f63587b51a81433d1ad19b285a90
- 0x836e1796750a28d286ffaa8d273d250fe348c563336bf2d30cfaf1001d95f677
- 0x80ede9e5d428e39db26928b1d08254ff1241f1d7e091fd2e57130fbb4423162b
- 0x2c117b27721eea45f6590fbccb471d21a7b0b079a53f089ecb300c63bdb3aebf
- 0x3ed50f053eca72dfd3a9d45a11935240bfe691e57835c367ddebe2cbc49efe9d
- 0x0e01aa9525097570a6edaf32bfc959de57bf5c24317cf10c0716affea85ca60d
- 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
- 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
- Day root
- 0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
- Chained
- 0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
- Published
- On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4