DataIndependent

Parallel

Highest accuracy web search API purpose-built for AI agents

Parallel is a web search and research API engineered specifically for AI agents. It delivers production-ready outputs built on cross-referenced facts with minimal hallucination, predictable per-query pricing, and verifiable provenance for every atomic output. Powers millions of daily requests with SOC-II Type 2 certification.

Use Cases

  • Autonomous market research: Deep research on competitors, pricing, and market trends without human analysts
  • Real-time lead generation: Find all companies matching specific criteria and enrich with web data
  • Self-updating knowledge bases: Monitor web for changes and automatically update internal databases
  • Agent-powered content operations: Research topics, extract facts with citations, generate evidence-based content
  • Autonomous due diligence: Research companies, founders, and market conditions for investment decisions
  • Competitive intelligence monitoring: Track competitor announcements, product launches, and pricing changes
  • Autonomous news tracking: Monitor web for specific topics and receive webhook alerts when changes detected

Key Features

Search API

Ranked web URLs with long, relevant content—<3s synchronous latency, purpose-built for AI tool calls

Task API

Deep web research with structured outputs—5s to 30min async processing with citations and confidence scores

Chat API

Fast, web-researched LLM completions with <5s latency and built-in citations

Extract API

Pull specific structured data from any web page with configurable excerpt length

FindAll API

Generate datasets from the web—find all entities matching custom criteria at scale

Monitor API

Continuous web monitoring with scheduled queries and webhook notifications—track competitors, news, or changes automatically (hourly/daily/weekly)

MCP Server Integration

Native Model Context Protocol servers for Search and Task—plug into any MCP-compatible agent

Evidence-Based Outputs

Every output includes citations, reasoning chains, confidence scores, and source excerpts

Predictable Pricing

Pay per query ($0.004-$2.40) not per token—budget accurately for autonomous operations

Integrations

MCP (Model Context Protocol)OpenAIAnthropicCustom AI agents