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Baidu upgrades search AI API, minimum 4.9 yuan per thousand calls

Baidu held a product upgrade briefing on October 30, announcing a fully upgraded search AI API, with a minimum price of 4.9 yuan per thousand calls during the promotional period, lower than the price of the DeepSeek search API. According to The Beijing News, Baidu said the capability now covers more than 170 tool scenarios, with GUI scenario coverage on the search page increased fivefold, connected to over 5 billion resource data points from government affairs, livelihood services, the central bank and others, covering more than 20 industries and opening up the ecosystem. TMTPost reported that the API's content layer covers more than 80 languages and a high-quality index in the hundreds of billions, with the data credibility rate increased by more than 50%, and the Ernie assistant saw a 20% improvement in results after integration. Baidu said its cost-effectiveness comes from an AI-native four-layer architecture; the engine layer self-evolves through multi-agent collaboration, raising overall iteration efficiency by more than 80%, while the application layer supports full-solution access via API, MCP and Skill. There are currently no further developments.

Baidu upgrades search AI API

Baidu held a product upgrade briefing on October 30, announcing a fully upgraded search AI API, with a minimum price of 4.9 yuan per thousand calls during the promotional period, lower than the price of the DeepSeek search API. According to The Beijing News, Baidu said the capability now covers more than 170 tool scenarios, with GUI scenario coverage on the search page increased fivefold, connected to over 5 billion resource data points from government affairs, livelihood services, the central bank and others, covering more than 20 industries and opening up the ecosystem. TMTPost reported that the API's content layer covers more than 80 languages and a high-quality index in the hundreds of billions, with the data credibility rate increased by more than 50%, and the Ernie assistant saw a 20% improvement in results after integration. Baidu said its cost-effectiveness comes from an AI-native four-layer architecture; the engine layer self-evolves through multi-agent collaboration, raising overall iteration efficiency by more than 80%, while the application layer supports full-solution access via API, MCP and Skill. There are currently no further developments.

View story:Baidu upgrades search AI API, minimum 4.9 yuan per thousand calls

WorkBuddy introduces cross-platform job search and resume customization features

On October 28, 2026, WorkBuddy stated that users do not need to browse job sites one by one: it can search for positions across multiple platforms, match jobs with personal experience, and help customize resumes for positions worth applying to. Currently, this feature is described by WorkBuddy externally, and there are no subsequent development facts yet.

Google podcast discusses how AI Overviews and AI Mode are changing search habits

On October 28, 2026, Google Ads podcast Ads Decoded released an episode hosted by Google Ads product liaison Ginny Marvin, in conversation with Shivani Mohan, Vice President of Google Search Data Science and UXR, discussing how AI Overviews and AI Mode are changing the search habits of billions of users. The episode focuses on Shivani Mohan's team's research into the modern search experience and what the long-form query trend means for businesses. The episode has currently been published on Google's official blog, with no further developments at this time.

WorkBuddy introduces cross-platform job search and resume customization features

On October 28, 2026, WorkBuddy stated that users do not need to browse job sites one by one: it can search for positions across multiple platforms, match jobs with personal experience, and help customize resumes for positions worth applying to. Currently, this feature is described by WorkBuddy externally, and there are no subsequent development facts yet.

View story:WorkBuddy introduces cross-platform job search and resume customization features

Google podcast discusses how AI Overviews and AI Mode are changing search habits

On October 28, 2026, Google Ads podcast Ads Decoded released an episode hosted by Google Ads product liaison Ginny Marvin, in conversation with Shivani Mohan, Vice President of Google Search Data Science and UXR, discussing how AI Overviews and AI Mode are changing the search habits of billions of users. The episode focuses on Shivani Mohan's team's research into the modern search experience and what the long-form query trend means for businesses. The episode has currently been published on Google's official blog, with no further developments at this time.

View story:Google podcast discusses how AI Overviews and AI Mode are changing search habits

TinyFish Releases Technical Guide for Production-Grade Agentic Search Architecture

On October 23, 2026, TinyFish released two technical guides: one defines a production-grade agentic search architecture, and the other summarizes lessons learned from building a deep research system. According to a MarkTechPost report, the architecture is built on four web primitives—TinySearch, TinyFetch, TinyBrowser, and TinyAgent—and runs a seven-stage control loop around a foundation model, covering task definition, retrieval planning, tool routing, evidence evaluation, and failure retry. In OpenBenchmarks tests with a fixed gpt-5.6-sol model and 100 tasks, the search-plus-fetch configuration achieved a 79.0% completion rate, with a median task cost of $0.050 and a runtime of 24 seconds; the search-only configuration achieved a 59.3% completion rate. Currently, this event has only the single source report mentioned above, and there have been no subsequent developments.