Evidence row 573307

What was observed

{
  "count": 2,
  "tools": [
    {
      "description": "Generate a PDF from raw HTML, a public URL, or a template + JSON data. Returns the PDF as base64. Priced per document; retries with the same idempotencyKey never double-generate. The canonical way for an AI agent to turn content into a shareable, correctly-formatted PDF.",
      "inputSchema": {
        "properties": {
          "idempotencyKey": {
            "description": "A stable key (e.g. an invoice id). Repeat calls with the same key return the stored result instead of re-rendering or re-billing.",
            "type": "string"
          },
          "options": {
            "description": "Optional page and print settings.",
            "properties": {
              "format": {
                "description": "Paper size. Defaults to A4.",
                "enum": [
                  "A4",
                  "A3",
                  "Letter",
                  "Legal",
                  "Tabloid"
                ],
                "type": "string"
              },
              "landscape": {
                "description": "Use landscape orientation. Defaults to false.",
                "type": "boolean"
              },
              "margin": {
                "description": "Page margin, e.g. '20mm' or '1in'.",
                "type": "string"
              },
              "printBackground": {
                "description": "Render background colors and images. Defaults to true.",
                "type": "boolean"
              }
            },
            "type": "object"
          },
          "source": {
            "description": "What to render. Provide exactly one of: html, url, or (template|templateId) with data.",
            "properties": {
              "data": {
                "additionalProperties": true,
                "description": "Values bound into the template's {{ placeholders }}.",
                "type": "object"
              },
              "html": {
                "description": "Raw HTML to render (when type is 'html').",
                "type": "string"
              },
              "template": {
                "description": "Inline HTML template with {{ placeholders }} (when type is 'template').",
                "type": "string"
              },
              "templateId": {
                "description": "ID of a template stored on your account (alternative to an inline template).",
                "type": "string"
              },
              "type": {
                "description": "Source kind: 'html' for a raw HTML string, 'url' for a public web page, 'template' for a template filled with data.",
                "enum": [
                  "html",
                  "url",
                  "template"
                ],
                "type": "string"
              },
              "url": {
                "description": "Public URL to render (when type is 'url'). Private/internal addresses are blocked.",
                "type": "string"
              }
            },
            "required": [
              "type"
            ],
            "type": "object"
          }
        },
        "required": [
          "source"
        ],
        "type": "object"
      },
      "name": "generate_pdf"
    },
    {
      "description": "Read a PDF and return its text as markdown (or plain text). Accepts a public URL or base64 bytes. Extracts the embedded text layer; a scanned, image-only PDF returns a needs-OCR notice instead of empty text. Priced per document; retries with the same idempotencyKey never double-read. The canonical way for an AI agent to ingest a document's contents.",
      "inputSchema": {
        "properties": {
          "idempotencyKey": {
            "description": "A stable key. Repeat calls with the same key return the stored result instead of re-reading or re-billing.",
            "type": "string"
          },
          "options": {
            "description": "Optional read settings.",
            "properties": {
              "format": {
                "description": "Output shape. Defaults to markdown.",
                "enum": [
                  "markdown",
                  "text"
                ],
                "type": "string"
              },
              "maxPages": {
                "description": "Cap the number of pages extracted.",
                "type": "number"
              }
            },
            "type": "object"
          },
          "source": {
            "description": "The PDF to read. Provide exactly one of: url or base64.",
            "properties": {
              "base64": {
                "description": "Base64-encoded PDF bytes (when type is 'base64').",
                "type": "string"
              },
              "type": {
                "description": "'url' for a public PDF URL, 'base64' for inline PDF bytes.",
                "enum": [
                  "url",
                  "base64"
                ],
                "type": "string"
              },
              "url": {
                "description": "Public URL of the PDF (when type is 'url'). Private/internal addresses are blocked.",
                "type": "string"
              }
            },
            "required": [
              "type"
            ],
            "type": "object"
          }
        },
        "required": [
          "source"
        ],
        "type": "object"
      },
      "name": "read_pdf"
    }
  ]
}

What the leaf hashes

{"body":"ecc84d7466f0e2fb2faff3edac4d7e0b2372848605515f3ebeb51106fd969da4","id":573307,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793141013934841,"prev":null,"subject":"0b907dae-2ca6-48b7-91ed-a4a14a33a534","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-27 (273461 rows).

1. 0xc224e0e8aa372bce5031ab6cb1e32504cd54421bcdec60c7ddb88d6e71fc0f0d
2. 0x8948ce681b60e4f880874de1c5ce93628e4615528f2c6159ceafacb9feddccf2
3. 0xa52749371052e94ded26720b171215206fed0fe61ce9c99dac43bf167462b30e
4. 0x2f3200db51228d447bf0a586809b4d60aa4c259f3aee0be07d1f1a75a1df5244
5. 0x86f2f3850d97cc154b22e7e9d2ff435e7e6e80727739d3d1b3e1d879813e8466
6. 0x60053dda25e2197b88a8a21a24dc0574f47bcbaaec7ca1b885fe3c7822033a28
7. 0xd7275a643b4c89600b04b6ad9fa9b1537e6fe9019900c53c84d8dc59cd08e3fc
8. 0x5ec32700d5de9bd77b5550783ebada9c2fa02fef7fdb420f13b4754c203b3636
9. 0x3aa03236e5e9327da07f659ef2e0e19dc08cc297254d07652edb01b6acccc793
10. 0x603e5d7d552008939814da11386784fe82a74a23617e6ed24fbe3fa47ea3d596
11. 0x5a13fca65d8a7a99a0b9f7a1e93e4c0383a76a0fdbe04d70632715947f716ff4
12. 0xf60d24675361c4e691254e637b8ecddfc4470b91e0ce8ab4c088e46b7460f7f1
13. 0xb48b088603004f0a5232faea4acd65999cbb4832f4c15b0098e853144cb91655
14. 0x077edf0f29e2a3aa19c876439830696b88f0236fd0b2a3c43c76f38cdd29bb2b
15. 0x73341bb09dd901ca47f26173883431496e3d98d6b0fb5b89f36218126d46c5d4
16. 0xa94627de1af0e823832e05a9069b304ecccb8c0cdb8f9cfc4f2039bfb9799dc5
17. 0xdf1105afdc109de3c09a98fc8a3864159ad964e6f49b635c105a27a1e1f14310
18. 0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197
19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699

Day root

0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795

Chained

0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4

Published

On Arc Testnet: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4