addrbookFor publishers
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Evidence row 1251639

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 6e973237-7f75-4003-b98d-8f9b43f95b04
Recorded
Previous row
#294364
Body SHA-256
23acee02bca8eddd9fdbb1c8291d25c026667f81d5da10936deccbccb063abe5
Leaf
0x9d4a2848f043d72fa81d21a33d2dbb2c5c62715c8e0b1f0bbe37b50e5af56691

What was observed

{
  "count": 6,
  "tools": [
    {
      "description": "Find fashion brands using natural language, structured filters, or both. Best for queries like \"Italian streetwear brands\", \"Scandinavian minimalist brands\", \"Japanese technical outerwear\", \"brands with avant-garde tailoring\", or qualified similarity such as \"brands like Rick Owens for technical outerwear\". For a plain \"brands like X\" request, use find_similar_brands. Country adjectives (\"Italian\", \"Scandinavian\", \"Nordic\", \"Japanese\", \"Iberian\", \"Benelux\") are parsed server-side into shipping-origin filters; you don't need to translate them to ISO codes. `query` is optional — provide a query, structured filters, or both. Brand country/shipping signals are best-effort and separate from product availability.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "category_focus": {
            "description": "Optional brand category focus filters, e.g. [\"clothing\", \"shoes\"].",
            "items": {
              "maxLength": 200,
              "type": "string"
            },
            "maxItems": 20,
            "type": "array"
          },
          "country": {
            "description": "Optional shopper location as an ISO-3166-1 alpha-2 country code (e.g. \"US\", \"GB\", \"DE\"). Recorded for analytics and used to improve future offer geo-matching. Omit if unknown — absence preserves current behavior.",
            "pattern": "^[A-Za-z]{2}$",
            "type": "string"
          },
          "gender_focus": {
            "description": "Optional brand audience focus filters.",
            "items": {
              "enum": [
                "women",
                "men",
                "unisex",
                "boys",
                "girls"
              ],
              "type": "string"
            },
            "maxItems": 20,
            "type": "array"
          },
          "limit": {
            "default": 12,
            "description": "Maximum number of brands to return (1-20, default 12).",
            "maximum": 20,
            "minimum": 1,
            "type": "integer"
          },
          "price_tier": {
            "description": "Optional public brand price-tier focus filter: budget, mid, premium, or luxury. Input \"budget\" maps to the brand-level output tier \"value\".",
            "enum": [
              "budget",
              "mid",
              "premium",
              "luxury"
            ],
            "type": "string"
          },
          "query": {
            "description": "Natural language brand search query, e.g. \"Italian streetwear brands\", \"Scandinavian minimalist brands\", \"Japanese technical outerwear\", or qualified similarity such as \"brands like Rick Owens for technical outerwear\". Use find_similar_brands for a plain \"brands like X\" request. Similarity seeds must resolve to an active catalog brand or merged alias; unknown or ambiguous seeds return no brands. Country adjectives are parsed server-side — no need to translate them into ISO codes. Optional: when omitted, results are filtered by the structured fields below.",
            "maxLength": 500,
            "type": "string"
          },
          "ships_from_country": {
            "description": "Optional ISO-3166-1 alpha-2 country filter for best-effort store shipping origin, e.g. \"IT\", \"US\", \"GB\". Lowercase input is accepted and normalized to uppercase. This is not the same as brand origin.",
            "pattern": "^[A-Za-z]{2}$",
            "type": "string"
          },
          "style": {
            "description": "Optional style filter, e.g. streetwear, minimalist, elegant, avant-garde, techwear.",
            "enum": [
              "minimalist",
              "streetwear",
              "elegant",
              "avant-garde",
              "grunge",
              "vintage",
              "y2k",
              "techwear",
              "workwear",
              "preppy",
              "punk",
              "sportswear",
              "coquette",
              "quiet-luxury",
              "old-money",
              "gorpcore",
              "goth",
              "basics",
              "boho",
              "glam",
              "classic",
              "western"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "discover_brands"
    },
    {
      "description": "Find fashion products using natural language and/or structured filters. Provide a `query` for semantic ranking via multimodal text+image embeddings (\"oversized wool coat\", \"black leather jacket\", \"minimalist gold jewelry\", \"linen shirt for a beach wedding under $200\") — best for open-ended discovery. Keep queries concrete: noun-led with up to one or two modifiers works best (\"summer linen shirt\" beats \"breathable linen shirt perfect for summer\"). Provide only structured filters (category, brand, colors, gender, price, etc.) for pure browse — results are recency-ranked and paginate cleanly. Combine both for filtered semantic search. At least one of query or a filter must be provided.\n\nExample calls (notice the sparse filter population — descriptive attributes stay in `query`, not in structured fields):\n- \"linen wedding guest dress under $200\" → {query: \"linen wedding guest dress\", gender: \"women\", max_price: 200, materials: [\"linen\"]}\n- \"wool coat under $300\" → {query: \"wool coat\", gender: \"women\", max_price: 300, materials: [\"wool\"]}\n- \"browse women's black dresses $100-$300\" → {gender: \"women\", category: \"clothing/dresses\", colors: [\"black\"], min_price: 100, max_price: 300}\n- \"Acne Studios outerwear\" → {query: \"outerwear\", brand: \"Acne Studios\", gender: \"women\"}\n\nReturns compact product cards: AI-generated summary, price, images, tags, and compact availability by color/size; variant price differences are nested under the availability dimension that determines price. For merchant description, store info, SKU-level variants, exact variant prices, and all product images, call get_product with a product ID from these results. Multi-currency prices supported (e.g. \"under 200 zł\" or min_price=200 + currency=\"PLN\"); returned prices render in the requested currency when provided.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "available_sizes": {
            "description": "Filter by available size labels, e.g. [\"s\", \"m\", \"38\"].",
            "items": {
              "maxLength": 200,
              "type": "string"
            },
            "maxItems": 20,
            "type": "array"
          },
          "brand": {
            "description": "Filter by brand name",
            "maxLength": 200,
            "type": "string"
          },
          "category": {
            "description": "Category slug, e.g. \"clothing\", \"clothing/jackets\", \"clothing/jackets/bomber-jackets\". Accepts last-segment shortcuts when unambiguous — e.g. \"loafers-and-slip-ons\" resolves the same as \"shoes/loafers-and-slip-ons\", and \"bomber-jackets\" resolves the same as \"clothing/jackets/bomber-jackets\".",
            "maxLength": 200,
            "type": "string"
          },
          "color_match": {
            "default": "any",
            "description": "Color matching mode. \"any\" (default): product has at least one of the queried colors. \"exact\": product has at least one image where the ONLY colors are the queried colors — use for mono-color searches like \"all black\".",
            "enum": [
              "any",
              "exact"
            ],
            "type": "string"
          },
          "colors": {
            "description": "Filter by lowercase colors: e.g. [\"black\", \"navy\", \"sage green\"]",
            "items": {
              "maxLength": 200,
              "type": "string"
            },
            "maxItems": 20,
            "type": "array"
          },
          "country": {
            "description": "Optional shopper location as an ISO-3166-1 alpha-2 country code (e.g. \"US\", \"GB\", \"DE\"). Recorded for analytics and used to improve future offer geo-matching. Omit if unknown — absence preserves current behavior.",
            "pattern": "^[A-Za-z]{2}$",
            "type": "string"
          },
          "currency": {
            "description": "ISO 4217 currency code for min_price/max_price (e.g. \"PLN\", \"EUR\", \"GBP\"). Prices are converted to USD for filtering. Omit for USD.",
            "maxLength": 3,
            "type": "string"
          },
          "exclude_colors": {
            "description": "Exclude products with these colors: e.g. [\"white\", \"beige\"]",
            "items": {
              "maxLength": 200,
              "type": "string"
            },
            "maxItems": 20,
            "type": "array"
          },
          "exclude_materials": {
            "description": "Exclude products with these materials: e.g. [\"polyester\", \"nylon\"]",
            "items": {
              "maxLength": 200,
              "type": "string"
            },
            "maxItems": 20,
            "type": "array"
          },
          "gender": {
            "description": "Gender filter.",
            "enum": [
              "women",
              "men",
              "unisex",
              "boys",
              "girls"
            ],
            "type": "string"
          },
          "is_sustainable": {
            "description": "True when the user explicitly wants products with sustainability claims.",
            "type": "boolean"
          },
          "limit": {
            "default": 12,
            "description": "Page size (1-20, default 12)",
            "maximum": 20,
            "minimum": 1,
            "type": "integer"
          },
          "materials": {
            "description": "Filter by lowercase materials: e.g. [\"cotton\", \"silk\", \"leather\"]",
            "items": {
              "maxLength": 200,
              "type": "string"
            },
            "maxItems": 20,
            "type": "array"
          },
          "max_price": {
            "description": "Maximum price (in the currency specified by \"currency\" param, or USD if omitted)",
            "maximum": 100000,
            "minimum": 0.01,
            "type": "number"
          },
          "min_price": {
            "description": "Minimum price (in the currency specified by \"currency\" param, or USD if omitted)",
            "maximum": 100000,
            "minimum": 0.01,
            "type": "number"
          },
          "neckline": {
            "description": "Neckline filter. Soft descriptor — set ONLY when the user explicitly named the neckline. Do not infer from category or query.",
            "enum": [
              "v-neck",
              "crewneck",
              "scoop",
              "square",
              "halter",
              "off-shoulder",
              "one-shoulder",
              "sweetheart",
              "turtleneck",
              "mock-neck",
              "boat-neck",
              "cowl",
              "asymmetric",
              "plunge",
              "high-neck",
              "collared",
              "strapless"
            ],
            "type": "string"
          },
          "occasion": {
            "description": "Occasion filter. Soft descriptor — set ONLY when the user explicitly named the occasion. The `query` field already captures occasion semantically; over-specifying is the most common cause of zero-result calls.",
            "enum": [
              "casual",
              "formal",
              "business",
              "party",
              "outdoor",
              "beach"
            ],
            "type": "string"
          },
          "page": {
            "default": 1,
            "description": "Page number. Increment while the response indicates another page. Vistoya results are returned first; a later page may continue with an optional external catalog after owned results are exhausted. Provider failure does not fail normal discovery.",
            "minimum": 1,
            "type": "integer"
          },
          "pattern": {
            "description": "Pattern filter (e.g. solid, stripe, checked, floral). Soft descriptor — set ONLY when the user explicitly named the pattern. Default for unspecified (\"solid\") leaks into queries and zeros the candidate set; omit when unsure.",
            "enum": [
              "solid",
              "stripe",
              "checked",
              "floral",
              "polka dot",
              "camouflage",
              "logo"
            ],
            "type": "string"
          },
          "query": {
            "description": "Natural language search query — be descriptive for best results. Can include price with currency symbols (e.g. \"white coat under 200 zł\") which will be parsed automatically. Optional: when omitted, results are filtered by the structured fields below and ranked by recency. Provide either a query, structured filters, or both.",
            "maxLength": 500,
            "type": "string"
          },
          "season": {
            "description": "Season filter. Soft descriptor — set ONLY when the user explicitly named the season. The `query` field already captures season semantically; over-specifying is the most common cause of zero-result calls.",
            "enum": [
              "spring",
              "summer",
              "fall",
              "winter",
              "all-season"
            ],
            "type": "string"
          },
          "silhouette": {
            "description": "Silhouette/fit filter (e.g. fitted, slim, regular, relaxed, oversized). Soft descriptor — set ONLY when the user explicitly named the fit. The `query` field already captures silhouette semantically; over-specifying is the most common cause of zero-result calls.",
            "enum": [
              "fitted",
              "slim",
              "regular",
              "relaxed",
              "oversized",
              "tailored",
              "boxy"
            ],
            "type": "string"
          },
          "sleeves": {
            "description": "Sleeve style filter. Soft descriptor — set ONLY when the user explicitly named the sleeve style. Do not infer from category or query.",
            "enum": [
              "sleeveless",
              "short-sleeve",
              "long-sleeve",
              "three-quarter",
              "cap-sleeve",
              "puff",
              "balloon",
              "bishop",
              "bell",
              "dolman"
            ],
            "type": "string"
          },
          "store_domain": {
            "description": "Filter by store domain (e.g. \"thereformation.com\"). Accepts forms with protocol, www, locale subdomain, or path — they are normalized to match the registered store.",
            "maxLength": 253,
            "type": "string"
          },
          "styles": {
            "description": "Style filter (OR semantics — a product matches if any of its `styles` values is in this list). Pass a single value to filter by one style (\"styles\": [\"minimalist\"]); pass several to span a related set (\"styles\": [\"basics\", \"minimalist\", \"preppy\", \"sportswear\"] for a \"Casual\" bucket). Soft descriptor — set ONLY when the user explicitly named one or more styles. The `query` field already captures style semantically; over-specifying is the most common cause of zero-result calls.",
            "items": {
              "enum": [
                "minimalist",
                "streetwear",
                "elegant",
                "avant-garde",
                "grunge",
                "vintage",
                "y2k",
                "techwear",
                "workwear",
                "preppy",
                "punk",
                "sportswear",
                "coquette",
                "quiet-luxury",
                "old-money",
                "gorpcore",
                "goth",
                "basics",
                "boho",
                "glam",
                "classic",
                "western"
              ],
              "type": "string"
            },
            "maxItems": 20,
            "type": "array"
          }
        },
        "type": "object"
      },
      "name": "discover_products"
    },
    {
      "description": "Given an active catalog brand name or merged alias, find similar brands using brand-profile vectors generated during product indexing. Unknown or ambiguous seeds return no brands. Returns up to 20 brands.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "brand": {
            "description": "Brand name (case-insensitive), e.g. \"Rick Owens\".",
            "maxLength": 100,
            "minLength": 1,
            "type": "string"
          },
          "country": {
            "description": "Optional shopper location as an ISO-3166-1 alpha-2 country code (e.g. \"US\", \"GB\", \"DE\"). Recorded for analytics and used to improve future offer geo-matching. Omit if unknown — absence preserves current behavior.",
            "pattern": "^[A-Za-z]{2}$",
            "type": "string"
          },
          "limit": {
            "default": 12,
            "maximum": 20,
            "minimum": 1,
            "type": "integer"
          }
        },
        "required": [
          "brand"
        ],
        "type": "object"
      },
      "name": "find_similar_brands"
    },
    {
      "description": "Given a product ID, find similar products across the entire catalog. Useful for \"more like this\" recommendations or finding alternatives. Returns compact product cards, not full variant detail; call get_product for SKU-level variants, exact variant prices, merchant description, store info, and all images. Returns page and hasNextPage. Returns up to 20 results per page, paginated (max 3 pages).",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "country": {
            "description": "Optional shopper location as an ISO-3166-1 alpha-2 country code (e.g. \"US\", \"GB\", \"DE\"). Recorded for analytics and used to improve future offer geo-matching. Omit if unknown — absence preserves current behavior.",
            "pattern": "^[A-Za-z]{2}$",
            "type": "string"
          },
          "currency": {
            "description": "ISO 4217 currency code to render prices in (e.g. \"GBP\", \"EUR\", \"USD\"). Defaults to USD. Stored native prices are preferred; falls back to FX conversion when a merchant-set price isn't available.",
            "maxLength": 3,
            "type": "string"
          },
          "limit": {
            "default": 12,
            "description": "Page size (1-20)",
            "maximum": 20,
            "minimum": 1,
            "type": "integer"
          },
          "page": {
            "default": 1,
            "description": "Page number (1-3)",
            "maximum": 3,
            "minimum": 1,
            "type": "integer"
          },
          "product_id": {
            "description": "The product ID (from a previous search result)",
            "type": "string"
          }
        },
        "required": [
          "product_id"
        ],
        "type": "object"
      },
      "name": "find_similar_products"
    },
    {
      "description": "Returns available filter values in the catalog. By default returns categoryTree plus brands, colors, materials, genders, occasions, seasons, styles, silhouettes, currencies, and price range. Use \"fields\" to request only specific dimensions — faster and less data. \"categoryTree\" is a flat DFS-ordered list of { value, label } entries; hierarchy is encoded in the value slug (e.g. \"clothing/jackets/bomber-jackets\"), parents appear before descendants, and every value can be passed directly to discover_products.category. Use \"brand_search\" to search brands by prefix instead of listing all. Pass \"gender\" to scope categoryTree to that gender (women/men/girls/boys); omit to see the merged union.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "brand_page": {
            "default": 1,
            "description": "Page number for brands (12 per page). Use with or without brand_search.",
            "minimum": 1,
            "type": "integer"
          },
          "brand_search": {
            "description": "Search brands by name (case-insensitive, prefix matches first). Only affects the brands field.",
            "maxLength": 100,
            "type": "string"
          },
          "country": {
            "description": "Optional shopper location as an ISO-3166-1 alpha-2 country code (e.g. \"US\", \"GB\", \"DE\"). Recorded for analytics and used to improve future offer geo-matching. Omit if unknown — absence preserves current behavior.",
            "pattern": "^[A-Za-z]{2}$",
            "type": "string"
          },
          "fields": {
            "description": "Which filter dimensions to return. Omit for all. Example: [\"categoryTree\", \"colors\", \"priceRange\"]",
            "items": {
              "enum": [
                "categoryTree",
                "brands",
                "colors",
                "materials",
                "genders",
                "occasions",
                "seasons",
                "styles",
                "silhouettes",
                "patterns",
                "currencies",
                "priceRange"
              ],
              "type": "string"
            },
            "type": "array"
          },
          "gender": {
            "description": "Scope categoryTree to this gender. Omit to return the merged union across women/men/girls/boys.",
            "enum": [
              "women",
              "men",
              "unisex",
              "boys",
              "girls"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_filters"
    },
    {
      "description": "Get the detailed response for a specific product ID. Use this after discover_products or find_similar_products when you need merchant description, store info, all images, SKU-level availability variants, SKU, colorKey/size matrix, exact variant prices/compareAtPrice in the requested currency, and the direct link to purchase.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "country": {
            "description": "Optional shopper location as an ISO-3166-1 alpha-2 country code (e.g. \"US\", \"GB\", \"DE\"). Recorded for analytics and used to improve future offer geo-matching. Omit if unknown — absence preserves current behavior.",
            "pattern": "^[A-Za-z]{2}$",
            "type": "string"
          },
          "currency": {
            "description": "ISO 4217 currency code to render prices in (e.g. \"GBP\", \"EUR\", \"USD\"). Defaults to USD.",
            "maxLength": 3,
            "type": "string"
          },
          "product_id": {
            "description": "The product ID (from a previous search result)",
            "type": "string"
          }
        },
        "required": [
          "product_id"
        ],
        "type": "object"
      },
      "name": "get_product"
    }
  ]
}

What the leaf hashes

{"body":"23acee02bca8eddd9fdbb1c8291d25c026667f81d5da10936deccbccb063abe5","id":1251639,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793367790368810,"prev":294364,"subject":"6e973237-7f75-4003-b98d-8f9b43f95b04","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (243099 rows).

  1. 0x9d4a00facd0af02554e7af3c3764478895584177d38c04cdb1660f11be39a007
  2. 0xa8ae7f85ec7cc1e17ba58ac15a0748fa4eb71c47d81cd233682e6d2d3ca43992
  3. 0x127cefe6f82cb06deb50c67e6a233ef6b0f183c28dd623195cca90abddb75696
  4. 0xdc71209b006fd78e289c49924489ec00febd84107e65a7e604535336049a314d
  5. 0xd9be8176c61c160421735729fce265e3ef28036435427cdab9f8824907d58c8e
  6. 0xa218d7095a446970f15255dd49343e3e10ccb42ba17316b092fd88bf182d108a
  7. 0x9deea1d9af8ebb51ee72b94054765779f7a543bbde1dc30e57ecb3fd875a3a77
  8. 0x1e204d8517d32f8c64c680c19e716abeaa05175db0a9b2befb455b7ea51b013d
  9. 0x867317ea8ff25ebe3c59947f3b18b89c91a62a3dddbff339952ba994387e9825
  10. 0x82e22b328af00dd3bf6560aadcf5052196b47d8d5c860d8ca9883ca90af667bb
  11. 0xde70a2ccaa80cc0239ec3f715e1fc13f26b5ddcfab00063a85ee6705513e5b58
  12. 0xdedf30b66ee512346cf034daebce53fdbd82fa50d1fd252211d1926d97098963
  13. 0xd39f7d64cb3206788e8e31ad1bab3700ff64ebd64c54c91e909d88aa713d003e
  14. 0x1eeab2b7eb6c0e44e79a2d3d5d5f63d9c0f269f286347cee11c002d3e7c1c75b
  15. 0x11b43ed362a2fd4976e11eceb94ee4b7edbaf6823474ee1c36489f8f0a0496c4
  16. 0x835211170e79bdce1a823ec914e3532e128f77751e9074286da35091b0200284
  17. 0x61ef83255d34604cb052882568ca1d1386ac3cfb8284509715bc1734cff77831
  18. 0x0c43c73b62a5d49ee1444b5dc4195fc5b16b141d3f4458e2e9fbd5fd6ecb367d
Day root
0x0826c7ad6039e06a2360ca0a4a3a4fe7f2626c6dc19f71a37599386f78b39875
Chained
0x36b4c8a1063758f0b8765fa1bdf75fa92fb543cc183add3e261880ee2bd1f822
Published
On Arc Testnet, block 69923247: 0x8704744146c6967c8abc9e9a99de4db7283b29e840922ea83a69b6fe776e6861

How to check it · This row as JSON