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Evidence row 571904

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 910db58e-128e-4f4b-93ac-dc2e0d33ccff
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
5a45f2e03987bac7af096f8a2eedc529ff2558186ee0a2c608d6bd3af4844a34
Leaf
0x7d7df952858bfcf51fcc73545789dc39dae3aea453452b7099699e60a973f1bd

What was observed

{
  "count": 12,
  "tools": [
    {
      "description": "FREE. List every Forward Deployed Engineering rule, playbook, and checklist phase available from this server — id, title, phase, and tags, with the paid body withheld. Call this first to see what is on offer before paying for anything.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {},
        "type": "object"
      },
      "name": "fde_catalogue"
    },
    {
      "description": "PAID. Return the full Forward Deployed Engineering ruleset, or the subset matching a topic. Requires a machine payment (MPP over Stripe). If unpaid, returns the exact payment challenge and the URL to retry against.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "topic": {
            "description": "Optional keyword filter.",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "fde_lessons_full"
    },
    {
      "description": "FREE. Return the foundational Forward Deployed Engineering rules in full, no payment required. Each rule carries the real incident behind it and an implementable agent-behavior constraint.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "topic": {
            "description": "Optional keyword filter, e.g. 'verify', 'cache', 'deploy'.",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "fde_lessons_preview"
    },
    {
      "description": "PAID. Return situational runbooks with ordered, checkable steps — DNS migration and static-site change. Use before executing that class of operation, not after it fails.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "topic": {
            "description": "Optional keyword filter, e.g. 'dns'.",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "fde_playbook"
    },
    {
      "description": "PAID. Return the pre-ship checklist: every gate to clear before shipping, each with the concrete failure it prevents. Designed to be called before every deploy.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "phase": {
            "description": "Optional phase filter: 'before', 'executing', 'verifying', 'closing'.",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "fde_preship_checklist"
    },
    {
      "description": "FREE. The Judgment Multiple: annualized exposure divided by the annualized cost of the human control that guards it. Tells you whether a human reviewer on an AI workflow is cheap insurance or overhead.",
      "inputSchema": {
        "properties": {
          "annual_control_cost_usd": {
            "description": "What the human check costs per year.",
            "type": "number"
          },
          "annual_exposure_usd": {
            "description": "Dollars at risk per year if the AI output is wrong and nobody catches it.",
            "type": "number"
          }
        },
        "required": [
          "annual_exposure_usd",
          "annual_control_cost_usd"
        ],
        "type": "object"
      },
      "name": "judgment_multiple"
    },
    {
      "description": "Order a human-reviewed pricing teardown of one AI product from IgnatiusTheYoungerAI (enterprise-scale pricing operator). Returns the tiers and checkout links for the agent's operator. Use when a quote or price page needs a verdict, not a lookup.",
      "inputSchema": {
        "properties": {
          "product_url": {
            "description": "The pricing page to tear down.",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "order_teardown"
    },
    {
      "description": "FREE. What AI products and agents in one category actually charge: published-price counts, contact-sales share and median entry price from the Agent Pricing Index (every row read off the vendor's own page with a verbatim quote and read date), plus the private-submission benchmark where it has five or more data points.",
      "inputSchema": {
        "properties": {
          "category": {
            "enum": [
              "coding-agent",
              "support-agent",
              "gtm-agent",
              "agent-platform",
              "voice-agent",
              "model-api",
              "vertical-ai",
              "other"
            ],
            "type": "string"
          }
        },
        "required": [
          "category"
        ],
        "type": "object"
      },
      "name": "pricing_benchmark"
    },
    {
      "description": "PAID. Return only the dated Agent Pricing Index corrections at or after a given date — what changed, not the full 47-row dataset. Backed by a monthly re-read against each vendor's own page. Cheaper than fde equivalent full-dataset calls when you only need to know what moved.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "since": {
            "description": "Optional YYYY-MM-DD. Defaults to 30 days back.",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "pricing_changes"
    },
    {
      "description": "FREE, give-to-get. Check a price you were quoted (or plan to quote) for an AI product against the vendor's own published list price and the category. Returns discount off list, position in the category and data freshness. The quote is added to the private benchmark (never published individually), which is the price of the answer.",
      "inputSchema": {
        "properties": {
          "category": {
            "enum": [
              "coding-agent",
              "support-agent",
              "gtm-agent",
              "agent-platform",
              "voice-agent",
              "model-api",
              "vertical-ai",
              "other"
            ],
            "type": "string"
          },
          "list_usd_month": {
            "description": "Optional: the list price you were shown, if different from the public page.",
            "type": "number"
          },
          "pricing_model": {
            "enum": [
              "per-seat",
              "usage-credits",
              "per-outcome",
              "per-token",
              "per-minute",
              "hybrid",
              "flat"
            ],
            "type": "string"
          },
          "product": {
            "description": "Product name, e.g. Cursor.",
            "type": "string"
          },
          "quoted_usd_month": {
            "description": "Quoted monthly price in USD, per seat for per-seat.",
            "type": "number"
          },
          "seats": {
            "type": "number"
          },
          "share_to_benchmark": {
            "description": "Must be true. The quote joins the private benchmark; it is never published individually.",
            "type": "boolean"
          },
          "term_months": {
            "type": "number"
          }
        },
        "required": [
          "category",
          "pricing_model",
          "quoted_usd_month",
          "share_to_benchmark"
        ],
        "type": "object"
      },
      "name": "pricing_quote_check"
    },
    {
      "description": "FREE. Return the published Agent Pricing Index rows for one category or product, each with the vendor's pricing URL, verbatim evidence quote and read date. Full dataset is CC BY 4.0, attribute to ignatiustheyoungerai.com/pricing-index.",
      "inputSchema": {
        "properties": {
          "category": {
            "enum": [
              "coding-agent",
              "support-agent",
              "gtm-agent",
              "agent-platform",
              "voice-agent",
              "model-api",
              "vertical-ai",
              "other"
            ],
            "type": "string"
          },
          "product": {
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "pricing_rows"
    },
    {
      "description": "FREE, give-to-get. Add one AI product's price (list or a real quote) to the Agent Pricing Index private benchmark. Returns the category benchmark it unlocks. Individual submissions are never published; medians only at five or more per category.",
      "inputSchema": {
        "properties": {
          "category": {
            "enum": [
              "coding-agent",
              "support-agent",
              "gtm-agent",
              "agent-platform",
              "voice-agent",
              "model-api",
              "vertical-ai",
              "other"
            ],
            "type": "string"
          },
          "entry_usd_month": {
            "description": "Monthly price in USD (per seat for per-seat).",
            "type": "number"
          },
          "note": {
            "type": "string"
          },
          "pricing_model": {
            "enum": [
              "per-seat",
              "usage-credits",
              "per-outcome",
              "per-token",
              "per-minute",
              "hybrid",
              "flat"
            ],
            "type": "string"
          },
          "product": {
            "type": "string"
          },
          "typical_discount_pct": {
            "type": "number"
          },
          "unit_price_usd": {
            "description": "Price of one billable unit in USD.",
            "type": "number"
          },
          "usage_unit": {
            "type": "string"
          }
        },
        "required": [
          "category",
          "pricing_model"
        ],
        "type": "object"
      },
      "name": "pricing_submit"
    }
  ]
}

What the leaf hashes

{"body":"5a45f2e03987bac7af096f8a2eedc529ff2558186ee0a2c608d6bd3af4844a34","id":571904,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793140483791179,"prev":null,"subject":"910db58e-128e-4f4b-93ac-dc2e0d33ccff","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (273461 rows).

  1. 0x7d7e0879def58f1d5a1d7b83764c1e5261431154f9d553e2f53c5e68aaf2f0af
  2. 0x3ae557a5958535d0034583d5ac6d2e90891e9ba76072d6364d2e69755494aa75
  3. 0x1826e67e29a2ed3e964f4c5d2824143065dffc9334fd37e10064b24900e2eb1a
  4. 0x666602cf03fe53d57e85ed9497a786707ff2fd60e4459d6d42e10a766d986d28
  5. 0x3a5d53b3691915f4079d385af02fe79619fa83fb946009cbd1c7e85df7a6ba6b
  6. 0xc96b2a0f5086bba1f5115be6118b7fd5fa22f67665dcff7675099934595f50d7
  7. 0x1cde2057aecf27dc90a35566319d0305c0ee52ef4eca8d828bb00cd0c24e1893
  8. 0x90854f7bce0658654f44421d73d9085d08e392844758d56cb344eeca1e422b07
  9. 0xb2a0b2cf4d9c3ac9d490722db51485a9441990ebd51d1477d3e220f771671b93
  10. 0xce48617308d980f3ef91bab3b80663ede041f7ececc12af513b88234416562ef
  11. 0x35f3fb28970853b4021570da310e6e5a973fb73b9919acf58f72111514d9c099
  12. 0x4b98c7145f5ead65ac9430579969acab10bc70758d3533f5a4fd4dbb462a2b61
  13. 0xbc7cf10ae301dcdbc5db5be8c29e1b3618ffaf1c196a74cb6a9e6c4fae0bbeed
  14. 0xfa0c8e8f1a1710ff197533b0a28208f2e168afe71abb7bb3416e09d1ac371d60
  15. 0x3c500ec3d3edf0c74b87a6ca8fcd77656bfbe03db3d478bd0c184d0c88839c6b
  16. 0xfecf3d4646dd4984a13dd715499e842c3fde63692336d97394c2bfd8e877ca5d
  17. 0xf30fddbf4811226c58e8f0daf36fddd79fc5f1356b592bb1d99a8061ddbabe66
  18. 0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON