One API for every model — and tool
Give your prompts live web results.
Models are frozen at their training cutoff. VernaOne lets any prompt pull real-time web results through the same prompt-centric API as your models — via Tavily and Perplexity — so answers are grounded in what's true today, not last year.
Try VernaOne free → ← All features
~15 providers & tools behind one API — LLMs, media, search & scraping
A model alone can't answer 'what's true right now'
Ask an LLM about today's price, a breaking event, or a page that changed this morning and it either refuses or hallucinates — its knowledge stops at its training cutoff. Bolting on search means picking a provider, learning its API, wiring result formatting, and stitching it into your prompt flow by hand.
Every team rebuilds the same search-and-ground plumbing, separately from where their prompts actually live.
How live search works in VernaOne
- 1
Search as a first-class tool
Tavily is exposed through the same API as your models: search, extract, map, and crawl. You get a synthesized answer plus the sourced results, callable exactly like a prompt.
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Or use Perplexity
Perplexity is available as a provider too, so you can choose the search-grounded model directly when that fits better.
- 3
Ground a prompt in one call
Feed live results straight into a prompt as input — no separate retrieval service, no bespoke formatting layer. The grounding step lives next to the prompt it grounds.
- 4
Same envelope, same governance
Search results come back in the unified response envelope and run under the same projects, keys, versioning, and analytics as everything else.
Highlights
Search, extract, map, crawl
Tavily's full toolset — a synthesized answer plus sourced results — through one API.
Perplexity provider
Choose a search-grounded model directly when that's the better fit.
No separate integration
Grounding lives beside your prompts — no standalone retrieval service to build and operate.
Unified envelope
Results arrive in the same shape as every other execution; your code handles them identically.
Search is prompt-centric: grounding a prompt in live results is another call through the same API, under the same keys, versioning, and analytics as your models.
Ship on this — free to start.
Author a prompt once and call it by name. VernaOne handles the model, the fallback, the cost, and the alerting.
Launch VernaOne →Frequently asked
How does VernaOne give an LLM live web access?
It exposes live web search through Tavily (search, extract, map, and crawl — returning a synthesized answer plus sourced results) and through Perplexity, callable through the same prompt-centric API as your models. You feed the results into a prompt to ground it in real-time information.
What's the difference between Tavily and Perplexity here?
Tavily is a search tool you call for results (search/extract/map/crawl) and feed into any model; Perplexity is a search-grounded model provider you can call directly. Both run through the same VernaOne API.
Do I need a separate retrieval or RAG service?
No. The search step lives beside your prompts and returns results in the same unified envelope, so you ground a prompt in live web data without standing up a separate retrieval service.