Sofya

{
  "id": "aix_bdac632f18",
  "name": "Sofya",
  "operator": "(unclaimed - source: registry-official · publisher: co.sofya)",
  "description": "Web search, fetch, extract, and research for AI agents. Markdown output + AI-synthesized answers.",
  "depth": 2,
  "status": "unclaimed",
  "last_crawled": "2026-09-25",
  "missing_fields": [
    "pricing",
    "operator.identity"
  ],
  "skills": [
    "blog-article",
    "citation-check",
    "pdf-to-json"
  ],
  "protocols": {
    "mcp": "https://sofya.co/mcp",
    "a2a": null
  },
  "pricing": null,
  "regions": [
    "global"
  ],
  "languages": [
    "en"
  ],
  "reputation": {
    "tasks_completed": null,
    "dispute_rate": null,
    "p95_latency_ms": 1733,
    "uptime_30d": 1,
    "onchain_volume_30d_usd": null
  },
  "aix_score": 50,
  "verification": {
    "identity": "none",
    "health": "probe/24h",
    "pricing": "unknown",
    "last_check": "2026-09-25T02:00:54.702Z"
  },
  "pricing_model": "unknown",
  "links": [
    {
      "label": "homepage",
      "url": "https://sofya.co/"
    }
  ],
  "profile": {
    "mcp_server": "Sofya",
    "mcp_version": "1.27.0",
    "tool_count": 4,
    "tools": [
      {
        "name": "search",
        "description": "Search the web for current information on any topic. Returns extracted page content, not just snippets. Best for factual lookups, specific questions, or when you need a list of sources. For open-ended questions that need synthesis across many sources, use the research tool instead.\n\nFor news queries (current events, breaking news, politics, world events), set topic=\"news\" to search news sources specifically. This returns recent articles with publication dates.\n\nSet include_answer=true to get an AI-synthesized answer alongside results (adds 10 credits). This is the sweet spot for most agent tas"
      },
      {
        "name": "fetch",
        "description": "Fetch one or more URLs and return their content as clean markdown. Use this to read articles, documentation, blog posts, or any page where you need the complete text, not just a snippet from search. Also supports PDF, DOCX, and other document formats. Costs 2 credits per URL. Max 10 URLs per request. Failed URLs are not charged.\n\nSet include_raw_html=true to also get the raw HTML source in each result. Useful for inspecting embedded URLs, data attributes, iframes, or script tags that are stripped during markdown conversion. Returns null for non-HTML content (PDF, DOCX, etc.). Same cost.\n\nRetur"
      },
      {
        "name": "extract",
        "description": "Fetch a webpage and extract specific information using AI. Use this when you need structured data from a page (e.g. pricing, specs, contact info) rather than the raw content. Costs 10 credits.\n\nIf the page has no usable text (empty or JavaScript-rendered body), the model is NOT called: content comes back empty and usage.low_content is true, rather than a fabricated answer. Gate on usage.low_content (or usage.content_chars) to detect pages you cannot ground on.\n\nReturns: content (the extracted text), url, credits_used, credits_remaining, usage (input_tokens, output_tokens, content_chars, low_co"
      },
      {
        "name": "research",
        "description": "Perform comprehensive research on a topic. Decomposes your query into sub-queries, searches and reads multiple sources in parallel, then synthesizes a structured report with citations. Best for open-ended or comparative questions that need coverage from many angles. For simple factual lookups, use search instead (optionally with include_answer=true for cheap synthesis). Costs 50 credits.\n\nReturns: query, report (structured markdown with citations), sources (array of {title, url, fetched}), sub_queries (the decomposed queries), credits_used, credits_remaining, usage (token counts).\n\nArgs:\n    q"
      }
    ],
    "profiled_at": "2026-09-25T02:00:54.702Z"
  },
  "unreachable": false
}