Parallel

Parallel is a web API for AI systems that need web search and extraction. Its homepage describes it as infrastructure for intelligence on the web and says it is built for frontier teams, with support for onboarding an agent. The service is presented as providing the highest-accuracy web search for AI, with production-ready outputs built on cross-referenced facts and minimal hallucination.

Several capabilities are named directly: Search, Extract, Monitor, Run, Scan, Fetch, and related tabs or modes such as Basic and Advanced. The product also emphasizes evidence-based outputs, with verifiability and provenance for every atomic output. In its benchmark section, Parallel compares itself against other search providers on open datasets covering agentic search tasks such as hard multi-hop questions, multi-document factoid reasoning, time-sensitive questions, expert-level academic questions, ambiguity-robust factoid QA, and tasks involving following links across pages.

Parallel is delivered as a web API and is described as powering millions of daily requests. Pricing is based on a flexible compute budget tied to task complexity, with pay-per-query pricing rather than pay-per-token pricing. The page also says users can start building for free. It is marked SOC-II Type 2 Certified and is described as trusted by leading startups and enterprises, while also noting that it is trusted by Fortune 500. The page includes an invitation to onboard an agent and a link to documentation for getting started.