Card snapshot

This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.

{
  "_source": "agentic.market",
  "service": {
    "id": "text-metrics-x402tookit-com",
    "name": "text-metrics.x402tookit.com",
    "description": "",
    "domain": "text-metrics.x402tookit.com",
    "provider": "text-metrics.x402tookit.com",
    "providerUrl": "",
    "category": "",
    "networks": [
      "Base",
      "eip155:137",
      "eip155:42161",
      "solana:5eykt4usfv8p8njdtrepy1vzqkqzkvdp"
    ],
    "enriched": false,
    "endpoints": [
      {
        "url": "https://text-metrics.x402tookit.com/case-convert",
        "description": "Convert text to camelCase, PascalCase, snake_case, kebab-case, CONSTANT_CASE, Title Case, sentence case and a URL slug.",
        "pricing": {
          "amount": "0.02",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "GET",
        "providerName": "",
        "parameters": [
          {
            "group": "query",
            "name": "text",
            "type": "string",
            "description": "",
            "example": "Hello, World! parseHTTPResponse_v2",
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "Text Analysis Tools",
        "tags": [
          "text",
          "case",
          "slug"
        ],
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        }
      },
      {
        "url": "https://text-metrics.x402tookit.com/keyword-extract",
        "description": "Top keywords and two-word phrases in an English text by frequency after removing stopwords, with counts and share.",
        "pricing": {
          "amount": "0.02",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "GET",
        "providerName": "",
        "parameters": [
          {
            "group": "query",
            "name": "n",
            "type": "number",
            "description": "",
            "example": 6,
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "query",
            "name": "text",
            "type": "string",
            "description": "",
            "example": "Solar panels convert sunlight into electricity. Solar energy is clean, and solar panels last decades. Battery storage makes solar energy available at night.",
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "Text Analysis Tools",
        "tags": [
          "text",
          "keywords",
          "nlp"
        ],
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        }
      },
      {
        "url": "https://text-metrics.x402tookit.com/language-guess",
        "description": "Guess whether text is English, Spanish, French, German, Italian, Portuguese, Dutch or Swedish, with a confidence margin.",
        "pricing": {
          "amount": "0.02",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "GET",
        "providerName": "",
        "parameters": [
          {
            "group": "query",
            "name": "text",
            "type": "string",
            "description": "",
            "example": "El gato est\u00e1 en la casa y la ni\u00f1a come pan con mantequilla.",
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "Text Analysis Tools",
        "tags": [
          "text",
          "language-detection",
          "nlp"
        ],
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        }
      },
      {
        "url": "https://text-metrics.x402tookit.com/length-limits",
        "description": "Check text against SMS segments (GSM-7 vs Unicode), tweet weight, meta description, title tag and push notification limits.",
        "pricing": {
          "amount": "0.02",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "GET",
        "providerName": "",
        "parameters": [
          {
            "group": "query",
            "name": "text",
            "type": "string",
            "description": "",
            "example": "Your order #4821 has shipped! Track it at https://example.com/t/4821 - thanks for shopping with us.",
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "Text Analysis Tools",
        "tags": [
          "text",
          "sms",
          "seo",
          "length"
        ],
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        }
      },
      {
        "url": "https://text-metrics.x402tookit.com/readability",
        "description": "Readability of English text by Flesch ease, Flesch-Kincaid, Gunning fog, SMOG, Coleman-Liau and ARI, with a consensus grade.",
        "pricing": {
          "amount": "0.02",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "GET",
        "providerName": "",
        "parameters": [
          {
            "group": "query",
            "name": "text",
            "type": "string",
            "description": "",
            "example": "The cat sat on the mat. It was a warm day, and the cat was happy to rest in the sun.",
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "Text Analysis Tools",
        "tags": [
          "text",
          "readability",
          "flesch"
        ],
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        }
      },
      {
        "url": "https://text-metrics.x402tookit.com/text-diff",
        "description": "Word-level diff of two texts: words added, removed and kept, the changed spans, and a percent changed.",
        "pricing": {
          "amount": "0.02",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "GET",
        "providerName": "",
        "parameters": [
          {
            "group": "query",
            "name": "new",
            "type": "string",
            "description": "",
            "example": "The quick red fox leaps over the lazy dog today.",
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "query",
            "name": "old",
            "type": "string",
            "description": "",
            "example": "The quick brown fox jumps over the lazy dog.",
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "Text Analysis Tools",
        "tags": [
          "text",
          "diff",
          "versioning"
        ],
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        }
      },
      {
        "url": "https://text-metrics.x402tookit.com/text-similarity",
        "description": "Similarity of two texts by edit distance, word overlap (Jaccard) and cosine, with a same, similar or different verdict.",
        "pricing": {
          "amount": "0.02",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "GET",
        "providerName": "",
        "parameters": [
          {
            "group": "query",
            "name": "a",
            "type": "string",
            "description": "",
            "example": "kitten",
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "query",
            "name": "b",
            "type": "string",
            "description": "",
            "example": "sitting",
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "Text Analysis Tools",
        "tags": [
          "text",
          "similarity",
          "dedupe"
        ],
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        }
      }
    ],
    "integrationType": "",
    "isNew": false,
    "priceSummary": {
      "minAmount": "0.02",
      "maxAmount": "0.02",
      "avgCostPerTransaction": "0.02",
      "avgCostBasis": "exact",
      "currency": "USDC"
    },
    "serviceName": "Text Analysis Tools",
    "tags": [
      "text",
      "case",
      "slug",
      "keywords",
      "nlp",
      "language-detection",
      "sms",
      "seo",
      "length",
      "readability",
      "flesch",
      "diff",
      "versioning",
      "similarity",
      "dedupe"
    ],
    "iconUrl": ""
  }
}