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Anthropic is launching a new API that allows its Claude AI models to search across the web. Developers using it can build Claude-powered apps that deliver up-to-date info, the company said in a press release published Wednesday.
The rollout of the API comes as AI companies look to augment their models in various ways that might attract new customers to their platforms. For its part, Anthropic last week debuted a tool to connect applications to Claude as well as an expanded “deep research” capability that lets Claude search enterprise accounts, websites, and more.
“Developers can now augment Claude’s comprehensive knowledge with current, real-world data by enabling the web search tool when making requests to [our] API,” Anthropic wrote in its release. “With web search, developers can now build AI solutions that tap into current information without needing to manage their own web search infrastructure.”
When the web search API is enabled, Claude will use “reasoning” capabilities to determine whether a given request would benefit from up-to-date information or specialized knowledge. If Claude decides to search the web, it’ll generate a search query, retrieve results, analyze them, and provide an answer with citations.
Claude can also refine its queries and conduct multiple searches, using earlier results to inform subsequent queries. Developers can customize this behavior as well as specify domains from which Claude is allowed and not allowed to search. Devs can also allow or prohibit web search use at the organization level, Anthropic says.
Pricing starts at $10 per 1,000 searches. Search works with Anthropic’s Claude 3.7 Sonnet, newer Claude 3.5 Sonnet, and Claude 3.5 Haiku models.
Devs can block Claude from searching certain domains**Image Credits:**Anthropic
In related news, Anthropic is bringing web search to Claude Code, its tool that allows devs to tap Claude to complete various coding tasks. With web search enabled, Claude Code can access current API documentation, technical articles, and other information on development tools and libraries.
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Claude Code remains in beta as a research preview.
Updated 4:16 p.m. Pacific: Added pricing and model compatibility information.
Kyle Wiggers was TechCrunch’s AI Editor until June 2025. His writing has appeared in VentureBeat and Digital Trends, as well as a range of gadget blogs including Android Police, Android Authority, Droid-Life, and XDA-Developers. He lives in Manhattan with his partner, a music therapist.
Kylie Robison is a senior AI reporter working with The Verge’s policy and tech teams. She previously worked at Fortune Magazine and Business Insider.
Anthropic is launching two major features today: Research and Google Workspace integration.
The company announced today that Claude can now connect directly to your Gmail, Google Calendar, and Documents, turning the AI assistant into what Anthropic calls “your frontline workplace assistant.” Instead of manually digging through countless emails, calendar invites, and documents to find information, Claude now does that work for you — it can “pull together meeting notes from last week, identify action items from follow-up
email threads, and search relevant documents for additional context” — putting Claude in more direct competition with Microsoft’s Copilot and similar workplace AI assistants.
There’s also Claude’s new Research feature, which Anthropic describes as transforming “how Claude finds and reasons over information.” This comes a few months after both OpenAI and Google launched similar tools, both called Deep Research. (I also flagged that this was possibly coming after the company launched a new $200 tier!) Unlike traditional AI search capabilities that execute a single query, Claude now operates “agentically” — a user queries the chatbot, and it conducts “multiple searches that build on each other.” The results come with citations so you can verify the information yourself.
Anthropic product exec Scott White told The Verge that the company is shooting for a “sweet spot” of one to five minutes per query for the new Research feature. “You have a problem that you want to solve, and you can work with Claude directly to solve it without really breaking your workflow,” White said.
An example of the Research feature.
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(Image credit: Shutterstock)
The latest feature in popular chatbots like ChatGPT, Gemini, and Perplexity is the ability to search deeper. Today, xAI launched Grok-3 and boasts over ten times the computational power of its predecessor, Grok-2. The ‘DeepSearch’ tool was announced as a next generation search engine.
The advanced reasoning abilities of these chatbots mean they can handle expert-level queries and synthesize large amounts of information across various domains such as finance, product research, and more. These chatbots search the web and browse content from relevant websites so you don’t have to.
ChatGPT Deep Research is currently only available to Pro users at 30 per month. Google’s Gemini is $20 per month and Perplexity offers a deep research feature available to users for free. However, you can try Gemini's deep research feature with Google's free trial. To use Gemini Pro 1.5 with Deep Research, select that model from the drop-down menu within the platform or on the app. To use the deep research feature with Perplexity AI, simply enable it when entering your query in the text box.
With so many chatbots able to research deeper and handle advanced reasoning, I just had to see for myself how they compare. Here’s what happened when I put these three chatbots to the test with a series of 5 prompts curated by Claude 3.5 Sonnet to determine which chatbot is the best at deep search overall.
1. Comparative analysis
(Image credit: Future)
Prompt: "Analyze the global impact of carbon pricing policies on national economies and emissions reduction efforts.”
Gemini offered a formal response with an academic tone. The repetitive and generic details made the response read more like a Wikipedia entry but without real-world examples or much detail.
Perplexity also provided an academic response that was overly dense despite strong technical detail and citations. The response relied too heavily on jargon and statistics making it overcomplicated and difficult to digest.
Grok-3 provided the fastest response in detail and included relevant examples and analysis. It also acknowledged successes and challenges.
Winner: Grok wins for its highly detailed and nuanced analysis, breaking down the economic and emissions impacts with specific examples. The AI references recent statistics, which makes the response timely and credible.
2. Quantum computing
(Image credit: Future)
Prompt: "Provide a comprehensive overview of the latest advancements in quantum computing over the past five years.”
Gemini offered a response that was too generic and had limited recent examples and also had excessive historical context. The sections were too long-winded and repetitive while lacking technical depth.
Perplexity covered all major advancements in quantum computing, including error correction, hardware innovations, hybrid quantum-classical systems, algorithmic improvements, and commercialization. It also broke down the complex topic and categorized sections making it readable and comprehensive, yet digestible.
Grok-3’s response focused too much on historical milestones. Although it was engaging and well-written, it was less structured and lacked depth. It also ended on a speculative note, whereas Perplexity provided a more thorough, analytical summary.
Winner: Perplexity provided the most informative, structured, and up-to-date analysis of quantum computing advancements from 2020–2025.
3. Impact of AI on employment
(Image credit: Future)
Prompt: "Examine the effects of artificial intelligence on employment trends across various industries. Include statistical data on job displacement and creation and analyze the long-term implications for the workforce."
Gemini uses generic industry descriptions without deeply integrating specific trends or figures. It also lacks clear statistical depth and many claims are too broad or even vague.
Perplexity offered a response with balanced perspective on job creation and displacement while highlighting education gaps and policy solutions. Perplexity also thoroughly examined the hybrid skill shift and addressed economic redistribution challenges.
Grok-3 responded with an engaging and well-structured answer, but the data isn't as deeply sourced or analyzed. While it mentions job displacement numbers, it doesn’t quantify AI’s role in specific industries as precisely as Perplexity.
Winner: Perplexity’s response stands out for being both deeply analytical and a wealth of statistical data with precise numbers and sources.
4. Global strategies for renewable energy adoption
(Image credit: Future)
Prompt: "Investigate the strategies employed by the top 10 developed and top 10 developing countries by GDP to promote renewable energy adoption over the past decade.”
Gemini seemed to over superficial coverage, meaning it lacks deep financial and policy analysis. The data is too general and placed less emphasis on investment trends and specific project successes.
Perplexity provided clear, quantified insights into renewable energy progress for each country, backed by specific figures and reputable sources.
Grok-3’s response was highly detailed and structured but too country-by-country focused without enough overarching comparisons or trends. Grok’s response also does not analyze investment strategies as deeply as Perplexity and misses multilateral agreements and cross-border energy integration efforts.
Winner: Perplexity wins for the most data-driven, comparative, and forward-looking answer, making it the best response.
5. Comparative study of healthcare systems
(Image credit: Future)
Prompt: "Compare and contrast how different healthcare systems around the world have responded to pandemics in the last decade. Evaluate the effectiveness of various strategies, resource allocations, and public health policies."
Gemini delivered a strong response, but did not offer as much detail as Grok-3 nor did it effectively analyze a wide range of healthcare systems. The response was far too academic and too hard to follow from a conversational perspective.
Perplexity offered a well-researched response but lacked direct comparisons between countries. Some insights felt more general and offered less statistical depth.
Grok-3 provides detailed statistics on hospital capacity, testing rates, vaccination coverage, and funding allocations.
Winner: Grok-3 systematically analyzes how different types of healthcare systems (single-payer, multi-payer, private-heavy, and developing) responded to pandemics. With data-driven insights, the AI’s structured approach makes it easy to see how different models handled crises.
Overall winner: Perplexity
In this experiment, Perplexity emerges as the overall winner. Its strengths outshone the competition in key areas such as depth of research, clarity of organization, breadth of analysis, and strong data integration. Across the five prompts, Perplexity demonstrated a highly structured approach, balancing statistical depth with clear comparative insights. It effectively used credible sources and quantitative data, ensuring that its responses were not only informative but also well-supported.
Unlike Grok, which was strong in synthesis but sometimes leaned into broader narratives, Perplexity maintained a precise, research-backed approach, making it more reliable for in-depth, factual analysis. Compared to Gemini, which sometimes veered too academic or even veered off topic at times, Perplexity stayed focused on the prompt’s intent, ensuring that each response directly addressed the key components of the question. Its ability to contrast global strategies, evaluate policy effectiveness, and integrate real-world outcomes made it the most thorough and balanced chatbot, giving it the edge as the best performer overall.
As chatbots continue to advance and develop new features, we will continue to experiment and test their abilities against the competition with prompts that fully test and examine their unique abilities.
More from Tom's Guide
- Damning new AI study shows that chatbots make errors summarizing the news over 50% of the time — and this is the worst offender
- I just tested the new Grok-3 with 5 prompts — here’s what I like and don’t like about this chatbot
- ChatGPT's scheduled task feature is a game changer — 5 prompts to try first
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Amanda Caswell is an award-winning journalist, bestselling YA author, and one of today’s leading voices in AI and technology. A celebrated contributor to various news outlets, her sharp insights and relatable storytelling have earned her a loyal readership. Amanda’s work has been recognized with prestigious honors, including outstanding contribution to media.
Known for her ability to bring clarity to even the most complex topics, Amanda seamlessly blends innovation and creativity, inspiring readers to embrace the power of AI and emerging technologies. As a certified prompt engineer, she continues to push the boundaries of how humans and AI can work together.
Beyond her journalism career, Amanda is a bestselling author of science fiction books for young readers, where she channels her passion for storytelling into inspiring the next generation. A long-distance runner and mom of three, Amanda’s writing reflects her authenticity, natural curiosity, and heartfelt connection to everyday life — making her not just a journalist, but a trusted guide in the ever-evolving world of technology.