Scry launches programmable web search API with MCP support and congestion pricing
Scry is a new search-over-the-web service built for AI agents, exposed through the Model Context Protocol as well as a direct HTTP API. Developers connect tools like Claude Code, Codex, or Cursor to a single MCP endpoint, authenticate via OAuth or an API key, and query a rolling crawl of high-information web pages using a SQL-like interface. The service also introduces congestion-based pricing tied to usage load.
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As AI agents increasingly need live, structured access to the web rather than static search results, tools like Scry aim to fill the gap between traditional search engines and agent-friendly data retrieval. Congestion pricing signals an attempt to manage compute costs as agentic querying scales, a model that could become common as more autonomous systems hit search infrastructure directly.
- Scry offers programmatic web search accessible via MCP or a direct HTTP API for AI agents.
- It maintains a rolling crawl of allowlisted high-information sites with timestamped freshness for post-cutoff queries.
- The service uses congestion pricing, adjusting costs based on system load rather than flat per-query fees.
Source: scry.io, 2026-09-17
Published there as: “Show HN: Scry, programmable internet search w/ congestion pricing”
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