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Evidence row 522682

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 941dd18c-d4af-42c0-9ac3-d5096d8445b3
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
93d6d809468ce78f0447e36b52a14c00d652bfd9b4353fe37257f25871ec3635
Leaf
0x693ce6c54de43b7208f806e3c52832b6bd24b86ed60defb0c7543716b9de49ed

What was observed

{
  "count": 6,
  "tools": [
    {
      "description": "Change one stop of a FareDice trip and re-chain the rest: night_more or night_less there (the flights after it move a day), night_from_next or night_to_next (a night moved from or to the next stop; the trip's end holds), add_stop (a place after it, with city; without city, the places that fit, each with its change and link) or drop_stop (the stop left out). Returns the new trip as get_trip does, with how much the flights change and how far the end moves. Without change, every change the stop can take, each with its link.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "change": {
            "description": "The change to make. Leave it out for the list of changes this stop can take.",
            "enum": [
              "night_more",
              "night_less",
              "night_from_next",
              "night_to_next",
              "add_stop",
              "drop_stop"
            ],
            "type": "string"
          },
          "city": {
            "description": "With add_stop: the place to add (its name or IATA city code), from the list add_stop gives without it.",
            "type": "string"
          },
          "link": {
            "description": "A FareDice trip link, as find_trips returns it (https://faredice.com/trip?l=... or /sea/trip?l=...).",
            "type": "string"
          },
          "stop": {
            "description": "Which stop to change: 1 is where the first flight lands, 2 the next, and so on.",
            "maximum": 14,
            "minimum": 1,
            "type": "integer"
          }
        },
        "required": [
          "link",
          "stop"
        ],
        "type": "object"
      },
      "name": "edit_trip"
    },
    {
      "description": "Finds cheap trips through several cities and countries in Europe or Southeast Asia, strung from non-stop one-way fares seen in the last few days: you give a start city (or a home airport outside the region: the trip then starts with a flight from the nearest big airport we have fares from), a window for the first flight, how many places and nights in each, and a flight budget, and optionally the kinds of place (beaches, islands, capitals ...), countries to keep to or skip and cities per country; it picks the cities. Returns the cheapest three trips, each with its flights, fare ages, cabin-bag notes and a link to the trip on faredice.com.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "budget_eur": {
            "description": "Most to spend on all the flights, in euros, for all the travellers together (up to 5,000 each).",
            "maximum": 30000,
            "minimum": 20,
            "type": "integer"
          },
          "cabin_bag": {
            "description": "true: the traveller takes a cabin bag (the wheeled one for the overhead locker), so the budget and the ranking count each flight's usual price for one where we know it; a flight whose bag price we don't know counts €35, the dearest bag price we know, so the total is an estimate (see unpriced_cabin_bags). Default false: fares alone.",
            "type": "boolean"
          },
          "cities_per_country": {
            "description": "Most cities in any one country. Default 1; 0 for any number (answers write it \"any\").",
            "maximum": 3,
            "minimum": 0,
            "type": "integer"
          },
          "countries": {
            "description": "ISO country codes (\"ES\", \"PT\"): every stop is in one of these.",
            "items": {
              "type": "string"
            },
            "maxItems": 12,
            "type": "array"
          },
          "end": {
            "description": "home: the last flight returns to the start city (with home, to the airport the trip flew in through). Default anywhere.",
            "enum": [
              "home",
              "anywhere"
            ],
            "type": "string"
          },
          "from": {
            "description": "Start city: a name (\"Lisbon\") or IATA city code (\"LIS\"), \"anywhere\" to start in any of the region's busiest cities, or a country (\"anywhere in Germany\", \"Spain\") to start in any of its cities. Needed unless home is given.",
            "type": "string"
          },
          "held_visas": {
            "description": "Valid visas the traveller already holds, with passports: \"schengen\" opens the Schengen area (its days counted against 90 in any 180) and the countries outside it that admit Schengen visa holders; \"uk\" and \"us\" open the countries that admit holders of those. The traveller still checks the visa's own dates and entries.",
            "items": {
              "enum": [
                "schengen",
                "uk",
                "us"
              ],
              "type": "string"
            },
            "maxItems": 3,
            "type": "array"
          },
          "home": {
            "description": "The traveller's home airport when it is outside the region: a town (\"Calgary\", \"London, Ontario\") or IATA code (\"YYC\"). Trips then start with a flight in from the nearest big airport we have fares from (Toronto, New York, Sydney ...), usually with a stop, and from there it's the same trip. The budget covers that flight; getting from home to that airport isn't in the prices. With home, from is used only when we can't fly from that home.",
            "type": "string"
          },
          "kinds_of_place": {
            "additionalProperties": false,
            "description": "Kinds of place, from our notes on each city: per kind, \"only\" (every stop is one), \"none\" (no stop is one) or at least n stops of it (1-4), e.g. {\"beaches\": 2, \"capitals\": \"none\"}. One kind can be \"only\". Ski counts only from December to mid-April, and only in Europe. The start and the return don't count as stops.",
            "properties": {
              "beaches": {
                "oneOf": [
                  {
                    "maximum": 4,
                    "minimum": 1,
                    "type": "integer"
                  },
                  {
                    "enum": [
                      "only",
                      "none"
                    ],
                    "type": "string"
                  }
                ]
              },
              "capitals": {
                "oneOf": [
                  {
                    "maximum": 4,
                    "minimum": 1,
                    "type": "integer"
                  },
                  {
                    "enum": [
                      "only",
                      "none"
                    ],
                    "type": "string"
                  }
                ]
              },
              "islands": {
                "oneOf": [
                  {
                    "maximum": 4,
                    "minimum": 1,
                    "type": "integer"
                  },
                  {
                    "enum": [
                      "only",
                      "none"
                    ],
                    "type": "string"
                  }
                ]
              },
              "lakes": {
                "oneOf": [
                  {
                    "maximum": 4,
                    "minimum": 1,
                    "type": "integer"
                  },
                  {
                    "enum": [
                      "only",
                      "none"
                    ],
                    "type": "string"
                  }
                ]
              },
              "mountains": {
                "oneOf": [
                  {
                    "maximum": 4,
                    "minimum": 1,
                    "type": "integer"
                  },
                  {
                    "enum": [
                      "only",
                      "none"
                    ],
                    "type": "string"
                  }
                ]
              },
              "old_towns": {
                "oneOf": [
                  {
                    "maximum": 4,
                    "minimum": 1,
                    "type": "integer"
                  },
                  {
                    "enum": [
                      "only",
                      "none"
                    ],
                    "type": "string"
                  }
                ]
              },
              "ski": {
                "oneOf": [
                  {
                    "maximum": 4,
                    "minimum": 1,
                    "type": "integer"
                  },
                  {
                    "enum": [
                      "only",
                      "none"
                    ],
                    "type": "string"
                  }
                ]
              },
              "small_towns": {
                "oneOf": [
                  {
                    "maximum": 4,
                    "minimum": 1,
                    "type": "integer"
                  },
                  {
                    "enum": [
                      "only",
                      "none"
                    ],
                    "type": "string"
                  }
                ]
              }
            },
            "type": "object"
          },
          "nights_max": {
            "description": "Most nights in each place.",
            "maximum": 14,
            "minimum": 1,
            "type": "integer"
          },
          "nights_min": {
            "description": "Fewest nights in each place.",
            "maximum": 10,
            "minimum": 1,
            "type": "integer"
          },
          "passports": {
            "description": "ISO country codes of the traveller's passports (\"US\", \"IN\"): countries that need a visa in advance are left out.",
            "items": {
              "type": "string"
            },
            "maxItems": 2,
            "type": "array"
          },
          "places_max": {
            "description": "Most places to stay in. Default 12, any number.",
            "maximum": 12,
            "minimum": 1,
            "type": "integer"
          },
          "places_min": {
            "description": "Fewest places to stay in. Default 4.",
            "maximum": 12,
            "minimum": 1,
            "type": "integer"
          },
          "region": {
            "description": "Where the trip goes. Default europe.",
            "enum": [
              "europe",
              "southeast-asia"
            ],
            "type": "string"
          },
          "skip_countries": {
            "description": "ISO country codes to leave out of the trip.",
            "items": {
              "type": "string"
            },
            "maxItems": 20,
            "type": "array"
          },
          "start": {
            "description": "Earliest day for the first flight, YYYY-MM-DD. Fares cover about the next 90 days. Default: a week from today.",
            "type": "string"
          },
          "then_region": {
            "description": "With home: after region, fly on to this other region and home from there, in one trip (europe then southeast-asia, or the reverse). Three long flights: home into region, one across (from or to London or Paris), and home from then_region; each a separate ticket, all in the total and the budget. Homes: Vancouver or Los Angeles, or an airport within 1,000 km of them. The trip always ends home; places_min splits between the regions. A budget of about 2,000 euros fits most.",
            "enum": [
              "europe",
              "southeast-asia"
            ],
            "type": "string"
          },
          "travellers": {
            "description": "How many adults travel together. Default 1. Every price in the answer, and the budget, is then for all of them.",
            "maximum": 6,
            "minimum": 1,
            "type": "integer"
          },
          "until": {
            "description": "Latest day for the first flight, YYYY-MM-DD. Default: two weeks after start.",
            "type": "string"
          },
          "visa_free": {
            "description": "With passports: only countries that need no visa of any kind, leaving out e-visas, ETAs and visas on arrival as well as visas needed before flying.",
            "type": "boolean"
          },
          "warm_min_c": {
            "description": "Only places whose typical daytime high for the month of the stay is at least this many °C, from long-term weather station averages (a place without them is left out). For winter sun in Europe.",
            "enum": [
              16,
              18,
              20,
              22,
              25
            ],
            "type": "integer"
          }
        },
        "required": [],
        "type": "object"
      },
      "name": "find_trips"
    },
    {
      "description": "The trip a FareDice trip link names, as find_trips returns one: its flights with fares, their ages, times where known and cabin-bag notes, nights in each place and the total, with its home hops when it starts from a home airport. A trip whose fares have gone says so and gives the nearest days the same places all have fares again, or none.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "link": {
            "description": "A FareDice trip link, as find_trips returns it (https://faredice.com/trip?l=... or /sea/trip?l=...).",
            "type": "string"
          }
        },
        "required": [
          "link"
        ],
        "type": "object"
      },
      "name": "get_trip"
    },
    {
      "description": "The cheapest one-way fare seen on each day of the next three months or so from one city to another in Europe or Southeast Asia (non-stop flights), or on a long flight between a big airport outside the region and one of its cities (any stops): each day's price, its age and airline, the cheapest by month, the airlines with how many days they fly it and their cabin bag rule, the cheapest the other way, and a link to the route's page on faredice.com.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "from": {
            "description": "A city by name (\"Berlin\", \"Krakow\", \"Saigon\") or IATA city code (\"BER\"). For a long flight, one end can be a big airport outside the region we have fares from (Vancouver, Toronto, New York, Sydney, London for Southeast Asia ...).",
            "type": "string"
          },
          "month": {
            "description": "Only this month's days: YYYY-MM or a month's name (\"november\"). Default every day we have.",
            "type": "string"
          },
          "region": {
            "description": "europe or southeast-asia. Default: the first region where both places are found, Europe first.",
            "enum": [
              "europe",
              "southeast-asia"
            ],
            "type": "string"
          },
          "to": {
            "description": "A city by name (\"Berlin\", \"Krakow\", \"Saigon\") or IATA city code (\"BER\"). For a long flight, one end can be a big airport outside the region we have fares from (Vancouver, Toronto, New York, Sydney, London for Southeast Asia ...).",
            "type": "string"
          }
        },
        "required": [
          "from",
          "to"
        ],
        "type": "object"
      },
      "name": "nonstop_fares"
    },
    {
      "description": "Every city one city in Europe or Southeast Asia flies to non-stop over the next three months or so (or that a big airport outside the region flies to, any stops), cheapest first: each with its cheapest fare, the day, its age and airline, how many days have fares and the airlines, and links to each route's page on faredice.com.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "from": {
            "description": "A city by name (\"Berlin\", \"Krakow\", \"Saigon\") or IATA city code (\"BER\"). For a long flight, one end can be a big airport outside the region we have fares from (Vancouver, Toronto, New York, Sydney, London for Southeast Asia ...).",
            "type": "string"
          },
          "max_results": {
            "description": "Most cities to list, cheapest first. Default 30.",
            "maximum": 100,
            "minimum": 1,
            "type": "integer"
          },
          "region": {
            "description": "europe or southeast-asia. Default: the first region where both places are found, Europe first.",
            "enum": [
              "europe",
              "southeast-asia"
            ],
            "type": "string"
          }
        },
        "required": [
          "from"
        ],
        "type": "object"
      },
      "name": "nonstop_from"
    },
    {
      "description": "Other places for one stop of a FareDice trip on the same days, keeping the rest of the trip: each with how much the trip's flights change and its link, cheapest first. With city, that change made: the new trip, as get_trip returns it. Places already in the trip, and countries it already visits or (with the link's passports) needs a visa for, are left out.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "city": {
            "description": "A place from the list (its name or IATA city code) to put in that stop's place. Leave it out for the list.",
            "type": "string"
          },
          "link": {
            "description": "A FareDice trip link, as find_trips returns it (https://faredice.com/trip?l=... or /sea/trip?l=...).",
            "type": "string"
          },
          "stop": {
            "description": "Which stop to change: 1 is where the first flight lands, 2 the next, and so on.",
            "maximum": 14,
            "minimum": 1,
            "type": "integer"
          }
        },
        "required": [
          "link",
          "stop"
        ],
        "type": "object"
      },
      "name": "swap_stop"
    }
  ]
}

What the leaf hashes

{"body":"93d6d809468ce78f0447e36b52a14c00d652bfd9b4353fe37257f25871ec3635","id":522682,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793123880773413,"prev":null,"subject":"941dd18c-d4af-42c0-9ac3-d5096d8445b3","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. 0x693cd2df57b32604b568b897713fcf4dba1637ad084a5cf1b9cbe95a88066cbc
  2. 0x421251bfa780a28b982d60a7510b936d321914d15ade965a6abf98120b71ad5b
  3. 0xb23968163e6eb58a64b94814c9fb6fa62d77cbc51eac1a096ccb3bc2de43f2d6
  4. 0x99e0bda55aece8c4be3b5a9fd384819f581018a1cb11f1dce3ce6c1f121b734d
  5. 0xed7d3225ff2ab626f80c05fb228c4c6dd9ce3535ce366ad9624ce25dbeabd7c8
  6. 0x511f1832b4e0386f58333efa9467e1d45735eadf70241b0dd675cf0cea9c67b1
  7. 0xe150b3599896e282f22327e1f51255dca24eda77d78744d29c71dda09dd5e468
  8. 0x5de87f0d604f458b798432a875478b5ec43535cc2de636d3fcf8e72fdab3183d
  9. 0xcd52b89d9e5bb48dd80b4ca482eab8a444667e484e1a508059903f0d9b9beba6
  10. 0x6fbf023b0d1c91c7e88bbb364a1796bfe49f7b291c5a43fba487edb0dd37e8df
  11. 0x98e80c44f12e5fb01e0f3d2f34b9faf2a92e2bfe37bb91dc6b8acc6dd7effa3c
  12. 0xff1b653b4de97259c183e79b75886676f24cb64cb6bbe1a90b1639f9b46e2c0b
  13. 0x927616fada4e04588c09f6e02e8f6e3a1351bac8355e394da3bd0bf249a5c503
  14. 0x3c5462812bd2f841e3d7deefc01555f18262fe5e0d5a7eb155330b7a7cb0388e
  15. 0x6f00f0da417f4126951ba8ba9b7962c847e91f5c61364ad9ad47e5f979698a60
  16. 0x23cf9bb4337ee8be7fcae368fd69d24c62c11fb45882127b4cd919bb96a19996
  17. 0x0e01aa9525097570a6edaf32bfc959de57bf5c24317cf10c0716affea85ca60d
  18. 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON