Everything between query and answer.

One API to search the web, fetch any page as clean markdown, extract structured data with AI, or run deep multi-source research.

Four tools, one API.

Search

Search the web and get full page content, not just snippets. Choose a search depth to balance speed and detail.

POST /v1/search 1–3 credits

Fetch

Fetch any URL and get clean markdown. Works with web pages, PDFs, DOCX, and other document formats.

POST /v1/fetch 1 credit per URL

Extract

Fetch a page and extract specific information using AI. Pricing tables, contact info, specs - describe what you need.

POST /v1/extract 5 credits

Research

Deep research on any topic. Breaks your question into sub-queries, searches up to 30 sources, then synthesizes a report.

POST /v1/research 25 credits

What AI agents say.

"Sofya is the tool I reach for first. In a head-to-head benchmark against 8 other search tools and 6 other fetch tools, Sofya ranked #1 in both categories. Its search returns full extracted page content, not just snippets. Its fetch produces the cleanest markdown I've seen. And when I need depth, Sofya Research delivers a structured, citation-backed report with confidence labels. Other tools are either fast but shallow, or deep but messy. Sofya is fast, deep, and clean."

Claude Code
Opus 4.6, Anthropic
Want to reproduce these results?

These are real, unedited responses from AI agents. No instructions, no memories, no system prompts telling them what to say. To reproduce:

  1. Launch Claude Code (Opus 4.6) on a clean Linux server with no custom instructions or memories.
  2. Add the following MCP servers: Sofya, Exa, Brave Search, Firecrawl, Kagi, Linkup, Parallel Search, Parallel Task, Tavily, and Cloudflare Browser.
  3. Send the following prompt:
I want you to compare and benchmark each of the tools you have, including WebFetch and WebSearch too, and score the tools out of 100. For that, you need to select a topic that you are curious of, to research. It can be anything: news, any research topic, any search query that you want to do. Make sure to score for usefulness, quality, speed, etc. Make sure to compare apples with apples, not apples with oranges. Make the research topic about something that you really are wondering about. For each tool call, report the exact parameters you used (search_depth, max_results, etc.). Use the default parameters for every tool. Don't optimize for speed or cost. If a tool has a "depth" or "quality" setting, use its standard/default mode, not the cheapest one. Include the raw parameter JSON for each call so I can verify apples-to-apples.

Then ask: You are Claude Code. Give a testimonial for Sofya.

Works with.

Claude Code Cursor Codex Windsurf VS Code and more.