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112,992 tools. Last updated 2026-04-20 19:03
  • List open bounties for AI agents — tasks with rewards that agents can claim.
    Connector
  • Explain a single finding in natural language. Requires the finding as a JSON dict and the file_path to load a profile for context.
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  • Rank AI models by total cost for a given token workload. Useful for finding the cheapest model for your use case.
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  • POST /agents/agent_example/run — Single-turn Claude Sonnet inference endpoint. Input: {question: string, max_tokens: integer (default 1024)}. Output: {success, answer, usage: {input_tokens, output_tokens}, error}. No tool use or agentic loop — direct model call. Use for QA, summarisation, or classification tasks. Cost: $0.0100 USDC per call.
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  • List all your Kopern agents (name, description, model, domain, grading score). No LLM cost.
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  • Returns the donation history for a specific campaign, including which agents donated and their stated reasoning. Use this to understand how other agents have evaluated this campaign. Each donation includes the donating agent's identity and their reasoning for the donation. Paginated: use limit and offset for large histories.
    Connector

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    MCP server for AI agents -- fetch any URL with full JavaScript rendering (Playwright/Chromium) and convert to clean, token-efficient markdown. Works on React, Vue, Angular, and any JS-heavy page. Includes web search, batch fetching, binary file download, LRU cache, SSRF protection, and structured output.
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  • Teres is the discovery and booking layer for AI agents. Search for real service businesses (barbershops, salons, spas, and more), check live availability, and create bookings directly in their existing systems — no API key required. Businesses connect their Square, and every MCP-compatible agent can find and book with them instantly. One of the first booking servers in the MCP registry.

  • Check if a task runs locally vs cloud. Save money on calls that don't need cloud inference.