← The evidence ledger
Evidence row 572260
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint 122b7063-161b-4de1-8e53-8b63e841eab2
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 191868afd207ecf1755b15cd4d1bdfb5b5a21334910201e001986531a923863c
- Leaf
- 0x608f22dfc5812781e871076f0bf41a44bdf8b971cdfefc78132b0f75e964911b
What was observed
{
"count": 3,
"tools": [
{
"description": "Use to turn previously collected X feedback into a structured Signal-to-Fix package and coding-agent prompt. It does not perform general summarization, search the web, scrape X, or modify source code.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"feedback": {
"description": "Previously collected X feedback text.",
"items": {
"minLength": 1,
"type": "string"
},
"minItems": 1,
"type": "array"
},
"productName": {
"minLength": 1,
"type": "string"
}
},
"required": [
"productName",
"feedback"
],
"type": "object"
},
"name": "hyperxosist_build_handoff"
},
{
"description": "Use after X posts or tweet text have already been collected. Separates actionable bugs, feature requests, and UX friction from empty praise, engagement bait, and spam. It does not fetch, scrape, or search X.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"feedback": {
"description": "Previously collected X post text to classify in memory.",
"items": {
"minLength": 1,
"type": "string"
},
"minItems": 1,
"type": "array"
}
},
"required": [
"feedback"
],
"type": "object"
},
"name": "hyperxosist_filter_signals"
},
{
"description": "Use only for specialized X (Twitter) research planning: complaints, bug reports, feature requests, product feedback, or community signals. Builds multiple noise-reduced official x.com/search URLs and quality scores. It is not general web search and does not scrape X or collect posts.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"intent": {
"description": "An X-specific research goal, for example: Find user complaints and bug reports on X about Acme.",
"minLength": 1,
"type": "string"
}
},
"required": [
"intent"
],
"type": "object"
},
"name": "hyperxosist_search_plan"
}
]
}What the leaf hashes
{"body":"191868afd207ecf1755b15cd4d1bdfb5b5a21334910201e001986531a923863c","id":572260,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793140653198771,"prev":null,"subject":"122b7063-161b-4de1-8e53-8b63e841eab2","subject_kind":"endpoint"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (273461 rows).
- 0x608f286463b91c828381d3f1ab0a417db8b4080eb35dc236317b06429d65c314
- 0x326faf214ff0459e6111cfccdc68ec1aacc63832c9f6ab238db1f8b26005e9c9
- 0x66f49a9bc289d331a3d56a2179112926c20471b814cb097d661f93115e73a00d
- 0x06b95be299f535b66a8507319a74ce153a650485d84ae972b0f02b3afa94d73f
- 0x83eedeedf38b4b111edb93d663c08b3112b8119298ddae79e970d9553ed39b9c
- 0x36504fbf5d7859b3bdc4cd226a0852622cb50b2b913c53ee7d0fcc096cab6758
- 0x2d68b02c28f9346c99c34dddb28bf834bf3524d51ec6b74b2706ba3812b3e0ef
- 0x7f836db5406c4d62a83b15364cf145c259a24ad51b4b9076960eecb77b055a1a
- 0x4ebcaaf688d5937610f25be194d4fd6fc64c675ec282f736d3ac7605ed3c08c3
- 0xde1d4091b964030686aabb2c829b674b046cbd75d244ba2b915500dd8d284a67
- 0x042ed023614c046dfcee504f2fb14ba7df71bf698e682b1391b1905d7f519255
- 0x4fbbcb97bbe92a4202db4cfe9ed5ce98ec76cb76473d9a37a3775c708528409e
- 0x38f17e73d675dd35d0dd4a9f0ebd22a3333bcd28f96e42d5dd126e08211ffc4a
- 0x4277e02be0b5d91d78bc2247e37d402572474ba896c2e8f45765c8dc4e244d36
- 0x6f00f0da417f4126951ba8ba9b7962c847e91f5c61364ad9ad47e5f979698a60
- 0x23cf9bb4337ee8be7fcae368fd69d24c62c11fb45882127b4cd919bb96a19996
- 0x0e01aa9525097570a6edaf32bfc959de57bf5c24317cf10c0716affea85ca60d
- 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
- 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
- Day root
- 0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
- Chained
- 0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
- Published
- On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4