parallel

Parallel delivers AI-powered web research through three specialized APIs that turn complex online data into structured, actionable insights. This platform targets developers and businesses who need reliable web intelligence without the hassle of building custom scraping solutions. Built for speed and accuracy, Parallel outperforms major competitors on research benchmarks.

Key Highlights

• Three specialized APIs for different research needs
• Pay-per-request pricing model for predictable costs
• 20,000 free requests to get started
• Higher accuracy than GPT-5, Exa, and Perplexity on benchmarks
• Flexible compute options based on task complexity
• Enterprise support with volume discounts available

What Makes It Different

Parallel focuses purely on web research intelligence rather than general AI chat. The platform offers structured data outputs instead of conversational responses, making it ideal for applications that need clean, organized information. Its pay-per-request model eliminates token counting complexity while providing transparent cost control.

Features & Capabilities

The Task API handles deep web research with structured outputs, perfect for market analysis, competitor research, and data collection projects. The Search API delivers ranked web URLs with relevant content snippets for quick information discovery. The Chat API combines web research with conversational responses for interactive applications. All APIs support custom data retention agreements and offer dedicated enterprise support for high-volume users.

Pricing & Value

Parallel offers pay-as-you-go pricing with three main APIs:

• Task API: $5-$2,400 per 1,000 requests for deep web research with structured outputs
• Search API: $4-$9 per 1,000 requests for ranked web URLs with relevant content
• Chat API: $5 per 1,000 requests for fast web-researched chat completions

Enterprise plans include volume discounts, custom data retention agreements, and dedicated support.

You get 20,000 free requests to start. Pricing is per request, not per token, so costs are predictable.

Parallel stands out with higher accuracy than competitors like GPT-5, Exa, and Perplexity on research benchmarks while offering flexible compute options based on task complexity.