What is Parallel?
Parallel Web Systems builds AI-native web infrastructure that gives artificial intelligence agents real-time, accurate access to the open web. Unlike traditional search tools built for humans, Parallel’s platform is purpose-built for AI—delivering verified facts with minimal hallucination, full source provenance, and predictable pricing. Trusted by Fortune 500 companies and SOC 2 Type II certified, it powers millions of daily requests from agentic workflows that need reliable, up-to-date information.
With products like the Search API, Extract API, and Monitor API, Parallel enables developers to equip AI agents with deep research capabilities, structured data extraction, and live web monitoring—all while paying per query, not per token. Their newest offering, Index by Parallel, also empowers content creators to track how AI uses their work and earn revenue from it.
What are the features of Parallel?
- Highest-Accuracy Web Search: Cross-referenced, evidence-based results with minimal hallucination—consistently outperforming competitors in benchmarks like Humanity’s Last Exam and FreshQA.
- Pay-Per-Query Pricing: Predictable costs based on task complexity (measured in CPM—cost per 1,000 requests), not token usage, making budgeting easier for AI teams.
- Full Provenance & Verifiability: Every output includes source links and traceable evidence so you can validate answers.
- Agent-Optimized APIs: Purpose-built tools like Search, Extract, Task, Monitor, FindAll, and Chat APIs designed specifically for AI agent workflows.
- Index by Parallel: A platform for content owners to see when and how AI agents use their content—and get paid fairly for it.
- Enterprise-Grade Security: SOC 2 Type II certified with ZDR (Zero Data Retention) options for sensitive enterprise deployments.
What are the use cases of Parallel?
- Powering AI research assistants that answer complex, multi-hop questions by navigating and synthesizing live web content.
- Building real-time market intelligence dashboards that monitor competitor product launches, pricing changes, or news.
- Enriching internal databases by automatically pulling fresh web data (e.g., executive bios, funding rounds, tech stack) into CRM or analytics systems.
- Creating AI-powered customer support bots that fetch current documentation, policy updates, or troubleshooting guides.
- Helping content publishers monetize AI usage through Index by Parallel while gaining insights into how their work is used.
- Running large-scale web data collection campaigns using natural language prompts to generate structured datasets.
How to use Parallel?
- Sign up at platform.parallel.ai to get your API key and start building.
- Install the Python or TypeScript SDK (
parallel-webpackage) for quick integration into your agent codebase. - Use the Search API for general queries, Extract API for structured data from pages, or Monitor API for ongoing change tracking.
- Follow the “Onboard your Agent” guide in the docs to connect your AI system via MCP (Model Context Protocol) or CLI.
- Test queries in the Playground (e.g., Deep Research, FindAll, Monitor) before deploying to production.
- Check the Status Dashboard and Changelog for updates and uptime info.
