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Parallelv2

Web search and research API for agents โ€” used by Clay, Harvey, and Notion in production.

B58๐Ÿ”ฌResearchAutonomousPay per task
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Agent Rank breakdown

Agent Rank
58/ 100
BB-tier
Autonomy
9
Capabilities
6
Integrations
2
Pricing
5
Polish
7
Verifiability
6

Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?

Capabilities

  • Browser
  • Tool use
  • RAG

Integrations

Other
ApiWebhook

Pricing tiers

Pay-as-you-go
Free
Developers
  • +Per-call pricing
  • +All search depths
  • +Standard SLA
Recommended
Production
$500/mo
Production agents
  • +Bulk-discounted credits
  • +Priority queue
  • +Dedicated support
Enterprise
Custom
Large platforms
  • +Custom volume
  • +SLAs
  • +White-glove integration

Pros & cons

Pros
  • +$100M Series B Apr 2026 (Sequoia) at $2B val โ€” founded by Parag Agrawal (ex-Twitter CEO)
  • +Used in production by Clay, Harvey, Notion โ€” validated by the biggest agent platforms
  • +Designed for agents from day 1 โ€” better latency + structure than Google/Bing Search API
Cons
  • โˆ’Newer (launched late 2025) โ€” fewer published reliability benchmarks
  • โˆ’Pricing higher than Tavily / Serper for casual use
  • โˆ’Best ROI requires high-volume agent workloads
Ready to try Parallel?

Web search and research API for agents โ€” used by Clay, Harvey, and Notion in production. Start with the pay per task tier.

Try Parallel API

Frequently asked questions

What is Parallel?+

Parallel is a web search + research API purpose-built for AI agents. Customers include Clay, Harvey, and Notion. $100M Series B Apr 2026 at $2B valuation; founded by ex-Twitter CEO Parag Agrawal.

Parallel vs Tavily / Serper?+

Tavily and Serper are general web-search APIs; Parallel is purpose-built for agent workflows with deeper context retrieval and tighter latency SLAs. Parallel wins for production agents; Tavily/Serper for hobby builds.

How is Parallel different from Google Search API?+

Google Search API returns blue links; Parallel returns synthesized, citation-backed answers structured for direct LLM consumption. Parallel also handles multi-step research in a single call.

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