Ground models with fresh web context
Retrieve live web data, extract relevant content, and return it structured and chunked for models — so agents reason over facts without hallucinating or wasting tokens on noise.
Handle thousands of web queries in seconds with zero-retention privacy
A production-grade retrieval stack with real-time search, intelligent caching, and indexing keeps latency predictable as traffic grows.
Ship to production with built-in safeguards
Requests pass through security, privacy, and content validation layers that block PII leakage, prompt injection, and malicious sources.
Search capabilities to power any agentic workflow
Retrieve fresh, relevant web context that agents can reason over
Relevant results are distilled into information-rich snippets, so agents reason without wasting tokens on noise.
Scrape sites without the noise
Pages are converted into agent-ready content that minimizes boilerplate and reduces downstream token usage.
Generate comprehensive research reports
Perform comprehensive research on a given topic by conducting multiple searches, analyzing sources, and creating a detailed report.
Capture entire sites with intent
Map and extract entire sites using an explicit objective, producing stable, repeatable inputs for research pipelines and long-running agent flows.
Turn fragmented pages into site graphs
Generate normalized, deduplicated site graphs so agents know what pages exist, what’s reachable, and where to focus before fetching content.
Optimize context for lower TCO
Pre-processing and reranking reduces context window usage, lowering the total cost of inference for high-volume agentic workflows.