For developers building AI agents, Parallel is a web-data API platform with dedicated Search and Task endpoints that return structured, LLM-ready results — the research layer behind agents at Harvey, Attio, and Granola.
Presence & Market Position
#20 of 124
GTM Developer Tools
▲ 20 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Parallel is building the web research infrastructure behind AI agents, extending search and extraction into monitoring and web-grounded decisions with cited answers. Its growing GTM presence centers on account research and the tools developers connect to agent workflows. Practitioner conversation places it alongside other search and scraping providers, especially when describing how agents investigate accounts before outreach. Integration launches also feature prominently, including web research inside app builders and search access through agent tooling. The conversation spans infrastructure selection and concrete research workflows embedded in other products.
Exa.ai
You.com
Oxylabs
Bright Data
Brave Search APIDropbox, Harvey, Attio, Opendoor, Manus, Modal, Granola, Hex, Profound, Greptile
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Business Profile
Parallel was founded in 2023 by Parag Agrawal, the former Twitter CEO, alongside co-founder Travers Nisbet, on the premise that AI agents are becoming the primary users of the web and that an open, API-first layer will out-compete gated search. The company has raised twice in rapid succession, most recently a $100M Series B led by Sequoia Capital on April 29, 2026, which valued it at $2B and brought issuer-reported total funding to $230M. It runs at roughly 81 employees, a small team relative to its valuation and its customer list of agent-native companies like Harvey, Attio, and Granola.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Parallel ships search and extraction as agent-native primitives from the start: a Search endpoint and a Task endpoint built for structured, LLM-ready output rather than pages for people to read. On top of the core API, it publishes Agent Skills that install directly into coding agents like Cursor, Copilot, and Windsurf, plus a CLI for managing that install and authentication, extending reach from API calls into an agent's existing tool-calling loop.
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