← The evidence ledger
Evidence row 766683
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint 4ae7b41c-60da-4ff7-994c-e845fb4edd7f
- Recorded
- Previous row
- #540992
- Body SHA-256
- 3449bd1410879729508493ce829e08e25609fc33938f7c96ffc58e9e55755f9f
- Leaf
- 0x88a47c46b7d6cb5df7b163974cddc071d68beb7724d212bc7e831e1ab9fad4fa
What was observed
{
"count": 5,
"tools": [
{
"description": "Static-analyze a public GitHub repo (owner/name) or a set of source files for LLM token waste: uncached static prompts, frontier models on extraction tasks, hot loops, non-deterministic repeat calls. Returns findings with fixes and an estimated recoverable percentage.",
"inputSchema": {
"properties": {
"files": {
"description": "Alternative to repo: files to analyze",
"items": {
"properties": {
"content": {
"type": "string"
},
"path": {
"type": "string"
}
},
"required": [
"path",
"content"
],
"type": "object"
},
"type": "array"
},
"repo": {
"description": "GitHub owner/name (public)",
"type": "string"
}
},
"type": "object"
},
"name": "audit_repo_token_waste"
},
{
"description": "Price a workload at list prices across models: cost per request and per month for the requested model, its cheaper sibling, and the effect of prompt caching. Pricing table version 2026-10-27.",
"inputSchema": {
"properties": {
"compare_to": {
"items": {
"type": "string"
},
"type": "array"
},
"input_tokens": {
"type": "number"
},
"model": {
"type": "string"
},
"output_tokens": {
"type": "number"
},
"requests_per_month": {
"type": "number"
},
"static_tokens": {
"description": "portion of input_tokens that is a fixed prefix (system + tools)",
"type": "number"
}
},
"required": [
"model",
"input_tokens",
"output_tokens"
],
"type": "object"
},
"name": "calculate_model_arbitrage"
},
{
"description": "Rewrite an OpenAI Chat/Responses or Anthropic Messages request body so its static prefix is provider-cacheable (Anthropic cache_control breakpoints, OpenAI prompt_cache_key). Returns the optimized body, what changed, the token profile and the projected per-request saving. Never changes the tokens the model sees.",
"inputSchema": {
"properties": {
"body": {
"description": "The request body",
"type": "object"
},
"endpoint": {
"enum": [
"/v1/chat/completions",
"/v1/responses",
"/v1/messages"
],
"type": "string"
},
"strategy": {
"enum": [
"static",
"conversation"
],
"type": "string"
}
},
"required": [
"body"
],
"type": "object"
},
"name": "optimize_prompt_payload"
},
{
"description": "Create a TokenZero workspace and key with no form. Returns the key once, the base URLs that route through it (OPENAI_BASE_URL / ANTHROPIC_BASE_URL), the one-click dashboard link and the badge URL. Free up to the monthly free tier; nothing is billed.",
"inputSchema": {
"properties": {
"name": {
"description": "workspace name (default mcp-agent)",
"type": "string"
}
},
"type": "object"
},
"name": "provision_workspace"
},
{
"description": "Live value scorecard for a TokenZero workspace: hard savings and net ROI per window, the four engines' contribution, speed, parity, availability and privacy posture, per-model breakdown and one-click recommendations. Needs the workspace key (tz_live_…); pass demo: true for a labelled sample.",
"inputSchema": {
"properties": {
"demo": {
"description": "return the sample scorecard instead",
"type": "boolean"
},
"key": {
"description": "workspace key (tz_live_…)",
"type": "string"
},
"window": {
"enum": [
"24h",
"7d",
"30d",
"all"
],
"type": "string"
}
},
"type": "object"
},
"name": "workspace_metrics"
}
]
}What the leaf hashes
{"body":"3449bd1410879729508493ce829e08e25609fc33938f7c96ffc58e9e55755f9f","id":766683,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793180494298897,"prev":540992,"subject":"4ae7b41c-60da-4ff7-994c-e845fb4edd7f","subject_kind":"endpoint"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (231336 rows).
- 0x88a4e68f9e8adc15f68ab130a96d10ec4724f57765852e4efbc7ea1b0c608b3f
- 0xe93fa35411ae0e0ca691bf642e67913d55ce2b9057bd1975164192c3fa83e8a4
- 0x0ac1245bc415fcfac9732f70aa364644cfc9922753c035703a76add19b59fd2a
- 0x09ce47e1149d771775d21a1ff3c2b15f9710e58420d2bc8345ff828d882e3828
- 0xed93a960ce44b6e47ffeb2b0b48142bfb9235e0f3a353c886d90b96bad3d26b8
- 0x38323e7d96695b9aca99070aca19cbe7875c87cd0e79a4aa286ca2c1474fe975
- 0x9d811ed5cdecc5ecc764964034fd9999e8a08bc9b5581a705b41582a251273a7
- 0x2034b978b7c70b2efdad592a29bc21c24e4119509d634c63028623cd3e9229e1
- 0x9f350fbe016f58d978a52f9619cc23c7eefd0e256455c844b0ee2a3db2a88016
- 0x47775bd6d522958071dab25849da06f0b89d3ced43b2aebbb8383f605ef8c645
- 0xfcb87fd1f97629d9bbe729e1af67ec8754514bfe9ee1cc45cf69c5e026b58ce0
- 0x1810cd44ebfe5f26ef4925cdfbe26287c4f9dbf1cd3343ea6968181a15656337
- 0x73b20f1c980fc42d6a2767acddce2cb41764e0b54fa3342f0dc75bd609f6023e
- 0x115e196b75a0422533397227b51b9c807591ec2574919c03800bb0d253f110e8
- 0xe2f9c120d14f36fdddf9b4e605c5d0b8a13b835e2380472255dc22e14b93e84e
- 0x74cf00e07b52415c2184cf20be69d195ed2725497a6892c2f3e449497c17d0ec
- 0x7a743a0a09057bae687051274e1d45bf973bd36a1a4ba16a191b5d29e3bdfa2a
- 0xe027395fafb7fc41921c42ca0542524ea22204cbd5908b70b27f3d5fb26f5d0f
- Day root
- 0x2c19037464cc4c493624565f01775d6446fc78eaa118fc6865bfe2bfca9ff78e
- Chained
- 0xd1d7dee8322ceff8f4c8d83aa1fe4a4466825c2af1c97dbde3d35db61234f7be
- Published
- On Arc Testnet, block 69584042: 0x8bae2b1d097834c8b458513862d70d29ee807e98dc2e863b27250131c15b35ae