Agentic Search Becomes Infrastructure

Agentic search is turning into infrastructure, and infrastructure markets usually collapse toward the cheapest provider that is still good enough. Once search is embedded inside prospecting bots, research agents, and consumer assistants, buyers care less about brand and more about three things, latency, citation quality, and cost per call. That is why prices have compressed toward $1 to $5 per 1,000 requests as more vendors chase the same agent workloads.1 2 3 4 5 6

• The market is fragmenting by product shape, not just price. Exa and Parallel are built as API first search tools for agents, Perplexity is pushing developer search after building a consumer assistant first, and Brave sells access to its own web index with privacy and compliance features for enterprises.2 3 4 7 8
• Falling search prices make sense because agents generate huge query volume. A single workflow can fire many searches to expand a prompt, check sources, pull page contents, and retry failed results. At that usage level, cutting price from $5 to $1 meaningfully changes whether teams can put search into every workflow.1 2 4 6 9
• This is also pushing vendors up the stack into data connectors and packaged answers. Basic web retrieval is becoming a commodity, so providers are adding paid databases, structured outputs, and domain specific endpoints like finance, people, weather, flights, and local business search to keep margins and stand out.4 5 10

The next phase looks like cloud economics. Raw web search will keep getting cheaper, while value shifts to who has the best proprietary data, the fastest answer path, and the easiest way for developers to drop search into an agent loop. That favors providers that can bundle search with connectors, vertical data, and reliable low latency execution.1 2 4 5 10