Tavily

Tavily isn't an agent in the sense of something that runs autonomously for hours. It's a search API designed specifically for LLM consumption, which makes it a critical component when you're building agents that need to look things up. The key difference from just hitting Google or Bing APIs is that Tavily returns structured, citation-backed answers rather than a wall of links. When I wire it into a research agent, I get JSON with extracted facts, sources, and confidence scores instead of having to parse ten blue links myself. The real-time aspect matters more than it sounds. If you're building an agent that needs current information, stock APIs and knowledge cutoffs are deal-breakers. Tavily claims to index fresh content within minutes, and in practice I've seen it surface news articles published the same morning. The extraction layer is genuinely useful: ask it about a company's recent funding round and you get the amount, date, and investors in structured fields, not prose you have to parse. The guardrails are the other half of the pitch. Tavily filters out PII before it hits your agent and claims to detect prompt injection attempts in search queries. I haven't stress-tested the injection detection, but the PII filtering works as advertised when I've thrown customer support queries at it. This matters if you're in a regulated industry or just don't want to accidentally log someone's passport number. Failure modes: it's still a search API, so garbage queries get garbage back. If your agent generates vague or overly broad questions, Tavily won't magically fix that. The free tier is tight, 1,000 requests per month, which disappears fast in development. Pricing scales quickly if you're running high-volume agents. The structured extraction works best on factual queries; ask it something subjective and you get a reasonable summary but no magic. Nearest competitor is Serper or Brave Search API. Serper is cheaper but gives you raw search results you have to parse yourself. Brave is privacy-focused but doesn't do the same level of extraction. Tavily sits between a raw search API and a full research assistant, which is exactly where you want it if you're plumbing agents together. I'd reach for it when I need an agent to answer questions that require current data and I don't want to build my own extraction pipeline.