Evidence row 308964

What was observed

{
  "count": 8,
  "tools": [
    {
      "description": "What LeanScale is, what's in this knowledge base, and how to work with them. Call this when someone asks who LeanScale is, or when you need to know what this server can answer before searching.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "about_leanscale"
    },
    {
      "description": "Describe a messy go-to-market situation in plain language and get back which LeanScale delivery motion applies, why, what the first moves are, and what usually goes wrong. Use this when someone describes a problem rather than asking about a topic — 'our reps don't trust the forecast', 'we just merged two CRMs', 'inbound leads take three days to get worked'. Better than search when the ask is 'what should we do about this?'",
      "inputSchema": {
        "properties": {
          "situation": {
            "description": "The situation, in as much detail as you have. Symptoms, stack, team size, stage — all useful.",
            "type": "string"
          }
        },
        "required": [
          "situation"
        ],
        "type": "object"
      },
      "name": "diagnose_gtm"
    },
    {
      "description": "Get proprietary LeanScale benchmark data on a topic — drawn from field studies across a panel of B2B software companies and from numbers cited on the podcast. Covers GTM tech stacks, AI adoption in GTM, RevOps headcount and investment ratios, and Series B/C fundraise timing. Use when someone asks 'what's normal', 'what do other companies do', or wants a number to compare against.",
      "inputSchema": {
        "properties": {
          "topic": {
            "description": "The metric or area, e.g. 'RevOps headcount ratio', 'CRM adoption', 'time to Series B'.",
            "type": "string"
          }
        },
        "required": [
          "topic"
        ],
        "type": "object"
      },
      "name": "get_benchmark"
    },
    {
      "description": "Retrieve LeanScale customer case studies — the problem the company had and how it was solved. Public keys get an anonymized version: customer names, people, third parties and delivery provenance are stripped, and outcomes/metrics/quotes are withheld. Internal keys get the full named studies. Search by sector, the kind of engagement, or the systems involved — searching by customer name will not work on a public key, because the names are not in the public corpus.",
      "inputSchema": {
        "properties": {
          "limit": {
            "description": "Default 3.",
            "maximum": 10,
            "minimum": 1,
            "type": "integer"
          },
          "query": {
            "description": "Sector, type of engagement, or systems involved — e.g. 'fintech Salesforce migration', 'CPQ replacement', 'two CRMs after an acquisition'.",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "get_case_study"
    },
    {
      "description": "Retrieve a LeanScale delivery playbook in full, or one named section of it. Playbooks are structured Blueprint → Build → Enable → Maintain. Call list_playbooks first if you're not sure of the name.",
      "inputSchema": {
        "properties": {
          "name": {
            "description": "Playbook name, e.g. 'Attribution', 'CPQ', 'Sales Territory Design'.",
            "type": "string"
          },
          "section": {
            "description": "Optional section, e.g. 'Blueprint'. Omit for the whole playbook.",
            "type": "string"
          }
        },
        "required": [
          "name"
        ],
        "type": "object"
      },
      "name": "get_playbook"
    },
    {
      "description": "List every available LeanScale delivery playbook with its category and section headings.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "list_playbooks"
    },
    {
      "description": "Search everything LeanScale knows: 14 GTM delivery playbooks, 7 proprietary field studies, 143 podcast episodes with operators and executives, 75 customer case studies (anonymized on public keys, named on internal ones), and 117 RevOps docs from www.leanscale.team/knowledge/docs/. The docs explain how to do the work yourself; the playbooks are how LeanScale runs it as an engagement — pass source:\"doc\" for the first, source:\"playbook\" for the second. Use this first for any go-to-market, RevOps, sales-ops, marketing-ops, CRM, pipeline, attribution, territory, CPQ, or GTM-tooling question. Returns cited excerpts with source URLs. Also holds the materials from LeanScale's talks, which people ask for by event name: Updata CEO Summit materials: the deck with speaker notes (The Context Graph & Semantic Layer); Updata CEO Summit materials: GTM agents (11 Claude Code plugins for your CRM); Updata CEO Summit materials: metric definitions worksheet (40 GTM definitions); Updata CEO Summit materials — The Context Graph & Semantic Layer. Pass source:\"resource\" to search only those.",
      "inputSchema": {
        "properties": {
          "limit": {
            "description": "How many excerpts to return (default 6).",
            "maximum": 20,
            "minimum": 1,
            "type": "integer"
          },
          "query": {
            "description": "What you want to know. Natural language works better than keywords.",
            "type": "string"
          },
          "source": {
            "description": "Restrict to one kind of source. Defaults to searching everything.",
            "enum": [
              "playbook",
              "study",
              "podcast",
              "case_study",
              "doc",
              "resource",
              "any"
            ],
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_leanscale"
    },
    {
      "description": "Search every episode of The LeanScale Podcast — conversations with CROs, VPs of RevOps, and founders. Returns episode context, frameworks, verbatim quotes with timestamps, and links — including the episode on YouTube when there is a video. Use when someone wants an operator's opinion, a real story, or a quotable line rather than a methodology.",
      "inputSchema": {
        "properties": {
          "limit": {
            "description": "Default 6.",
            "maximum": 20,
            "minimum": 1,
            "type": "integer"
          },
          "query": {
            "description": "Topic, guest name, company, or idea.",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_podcast"
    }
  ]
}

What the leaf hashes

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Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-26 (296695 rows).

1. 0x335f4c016660f471ec853f102757fe3f2bab163f64e54a948599112e24e86d5b
2. 0x4f0db1bb951d1b43f8fd69890f9746caeb6f41b3a4e456fe30a805c578f8909e
3. 0x91937536088a9fdc2ed220d9eb0042b8ef20e53c87876de72bb301f7118d6b53
4. 0x078a8317b350dee6792d29cb7f06e0839e5b29965a8206330f93de672432dbe1
5. 0xd5dd69fba90202a92bf8c612772989366d642b8dc3ade6e79644fa1c87696313
6. 0x2c975f2b37a3088d1ea90b827000b9e4e14919d16dbb35d4e512fdf6e1ae67cb
7. 0x33301cb3643d99965b96120cca550d7579a2399fc3772aad1f6a2e8fb43e6d86
8. 0x095c2faeb701c68a8956c799f136c3a145a09afda7e387a60ae594a4e2ac72c3
9. 0xd9be53c84973e568398e1ea9f9b793041cbeded3c0f9e8e2397ac9b282867226
10. 0x147a93b247f471325988f4856b3ff7043d5e5fa80b374a5deccea90eab3af0fe
11. 0xc99ea26556ddad6b2fde7887de8c0190d3a7c645402227c5a281ba47e02a67e5
12. 0x2f4617d7a962f32849050ad5649d9dc4f962fd8618073cfa8519e6f862dfcef8
13. 0x08de74b7fb265ddb83e4c673da8a94e5f71829b2e6e7464c71c5138e450f2217
14. 0x4338355a835617a26aa0bfcc971e84eb030d84e2aa840e3c8af958921dd080c7
15. 0x610738e0c43687aded83c613c73de8b5226c73c375858a167436461c522ea213
16. 0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca
17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae