Parallel: Web Search and Research APIs for AI Agents
Parallel helps software companies build AI agents that require web intelligence. It is designed for teams needing verifiable research, automated data enrichment, or continuous web monitoring.
At a glance
- Category
- Browse Data & Analytics tools
- Best for
- Software companies, AI agent developers, Enterprise AI teams, Technical product managers
- Pricing
- Pricing is usage-based per request, starting at $0.001 for the Extract API. Qualified startups may receive up to $250 in free credits, and the platform allows up to 16,000 requests for free.
- Key use cases
- Deep Research Automation, Database Enrichment, AI Agent Web Access, Continuous Web Monitoring, Structured Dataset Creation
- Integrations
- Vercel AI Gateway, Vercel AI SDK, AWS Marketplace, ChatGPT, Claude
- Official website
- Visit Parallel official website
Parallel is a developer platform providing APIs that let AI agents search, extract, and monitor information from the open web. The service is designed to pull current web context into LLM workflows.
The platform is built for software companies and developers creating AI agents. It provides different compute levels for varying task complexities, from basic information retrieval to deep research, and is SOC-2 Type II certified.
Buyers can use these APIs to support deep research, enrich existing databases with web data, or track changes across web events. The platform uses a per-request pricing model, which may help make costs more predictable compared to token-based pricing.
Technical buyers should consider the latency requirements of their workflows, as some tools like the Task and Find All APIs operate asynchronously and can take from several minutes up to an hour to complete.
Key Features
Search API
Provides ranked web URLs and compressed excerpts for AI agent tool calls.
Extract API
Extracts page contents or compressed excerpts from specific URLs.
Task API
Performs deep web research with structured outputs using compute levels from Lite to Ultra.
Find All API
Creates structured datasets by finding entities on the web that match natural language criteria.
Monitor API
Tracks changes and events on the web based on specified queries and frequencies.
Chat API
Provides web-researched LLM completions for interactive chat applications.
SOC-2 Type II Certification
The platform meets security and compliance standards for enterprise workloads.
Use Cases
Deep Research Automation
Supports the creation of research reports through multi-source web retrieval.
Database Enrichment
Uses existing structured data to find and pull web information into new output columns.
AI Agent Web Access
Provides a search tool that AI agents can call to get web context.
Continuous Web Monitoring
Supports alerts for new events or changes on the web.
Structured Dataset Creation
Finds entities that match specific criteria to build a list from the web.
Best For
- Software companies
- AI agent developers
- Enterprise AI teams
- Technical product managers
Integrations
- Vercel AI Gateway
- Vercel AI SDK
- AWS Marketplace
- ChatGPT
- Claude
Pricing
Pricing is usage-based per request, starting at $0.001 for the Extract API. Qualified startups may receive up to $250 in free credits, and the platform allows up to 16,000 requests for free.
FAQ
How does Parallel pricing work?
- Parallel uses a pay-as-you-go model based on requests rather than tokens. Prices vary by API, such as $0.001 for Extract API and $0.005 for 10 Search API results.
Is Parallel suitable for enterprise use?
- Yes, the platform is SOC-2 Type II certified and offers enterprise options including volume discounts, custom data retention agreements, and dedicated support.
What is the difference between the Task and Search APIs?
- The Search API is a synchronous tool for finding ranked URLs, while the Task API is an asynchronous tool designed for complex deep web research with structured outputs.
Source category: Data & Analytics
Source subcategory: Web Scraping API
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Categories
Software Type
How AI is used
Parallel is a web search and research API platform for software companies building AI agents. It supports workflows like deep research, web extraction, and data enrichment through a suite of SOC-2 certified APIs. Latency varies between synchronous search tools and asynchronous research tasks.
Pros & Cons
Pros
- Per-request pricing model instead of per-token billing.
- Multiple compute tiers to match the complexity of research tasks.
- SOC-2 Type II certified for enterprise security.
- Includes a CLI for terminal-based agent access.
Cons
- Requires technical implementation via API.
- Some APIs, including Find All and Task, have asynchronous latency.
