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  1. 1
    Cloudflare launches Web Search API for developers●Web Search APIYhnTechnologyInternet5934 min ago

    Cloudflare has introduced a Web Search API, giving developers a simple way to add web search capabilities to applications and AI agents. The announcement appeared on Cloudflare's official changelog, drawing strong attention on developer forums where commenters discussed pricing, use cases for AI tools, and how it compares to existing search APIs from other providers.

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    Agent-Reach tool lets AI agents browse the whole web▼Panniantong/Agent-Reach⬢github1.2K4 d ago

    A new open-source tool called Agent-Reach, published on GitHub by Panniantong, is drawing attention for giving AI agents direct access to major platforms including Twitter, Reddit, YouTube, GitHub, Bilibili and XiaoHongShu. Written in Python, it works as a single command-line interface that lets agents read and search across these services, with the developers promoting it as requiring no paid API fees. The project is trending in developer communities.

  3. 3
    OpenAlex offers free API for scholarly query guides●Guides to setting up OpenAlex queries are listed below. You can get a free API key for it and using the API burns up youMmastodonScience44 d ago

    OpenAlex, the open scholarly metadata catalogue, is being shared among researchers as a way to query publication data more efficiently. Users note the service provides a free API key, and that API queries consume only about a tenth of the daily usage quota compared with running the same search through the web interface. Guides to setting up queries with OpenAlex Query Language are circulating to help people get started.

  4. 4
    Cloudflare adds Web Search to AI Gateway for agent grounding●Cloudflare has added a native Web Search API to its AI Gateway, built in partnership with search... # ai # automation #MmastodonBusiness37 d ago

    Cloudflare has launched a native Web Search API within its AI Gateway, built in partnership with a search provider, allowing AI agents to ground their responses in live web results. The feature is aimed at developers building automation and agentic applications, letting models pull fresh information instead of relying solely on static training data. Developers are discussing the move as part of the broader push to make AI tools more reliable and up to date.

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