Why Search APIs Fall Short as the Core Tool for AI Agents

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A developer building AI agents found that web search returns candidate links but leaves most of the work unfinished, such as selecting a reliable page, rendering JavaScript content, and extracting pricing data. Search snippets are often too brief to capture information held in tables or footnotes, which can lead agents to fill gaps with confident guesses. Search results also rank pages for human clicks rather than machine readability, so the most useful source may be missed. The article argues that agents need a broader research workflow that turns pages into structured, verifiable data, and it introduces Olostep, an API platform offering capabilities beyond search. The piece also notes that a plain search tool is still sufficient for simpler needs.

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