Parallel
Web APIs for AI agents to search, extract, monitor, and research current online information.
About Parallel
Parallel provides web infrastructure for AI agents that need current information. Its APIs cover natural-language search, page extraction, recurring monitoring, and multi-step research, with results shaped for downstream model use. The Task API lets teams choose processors by workload complexity: Lite and Base suit basic retrieval or simple research, while Core and higher tiers spend more compute on deeper work and can return citations, reasoning, excerpts, and confidence signals. Developers can use it to ground coding agents in current documentation, pull filings and market news into finance workflows, or automate research for insurance claims and submissions. A Snowflake integration also supports SQL-native enrichment through a user-defined table function. Pricing is usage-based, so costs rise with request volume and processor depth. Enterprise buyers can request custom rate limits, zero data retention, data protection agreements, single sign-on, onboarding, and technical support.
Best for
Best use cases
Ground a coding agent in current documentation
Monitor filings, news, and regulations
Automate claims and submission research
Compare before choosing
Higher Task API tiers trade lower cost for deeper research
Usage pricing fits variable demand but requires cost monitoring
Enterprise controls require a sales conversation
Features
Ground coding agents
Search current software documentation and web sources so coding agents are not limited to a model training snapshot.
Research financial events
Pull live filings, regulations, market data, and news into research workflows with citations and confidence signals.
Automate insurance research
Research claims, submissions, renewals, entities, and regulations at volume, then route uncertain cases for human review.
Pros
- Processor tiers let teams match compute cost to research complexity.
- Results can include citations, excerpts, reasoning, and confidence for reviewable workflows.
- Search, extraction, monitoring, Task API, and Snowflake support cover several integration patterns.
Cons
- Usage-based fees increase with request volume and more capable processor tiers.
- Deeper Task API processors can take minutes, which may not suit interactive latency targets.
- Enterprise controls such as single sign-on and custom rate limits require a sales engagement.
Pricing Plans
Lite
- Basic information retrieval
- About 5 to 60 seconds latency
- About 2 fields
- Citations and reasoning
Base
- Simple web research
- About 15 to 100 seconds latency
- About 5 fields
- Citations and reasoning
Core
- Complex web research
- About 1 to 5 minutes latency
- About 10 fields
- Citations, reasoning, excerpts, and confidence
Enterprise
- Zero data retention
- Data protection agreements
- Single sign-on
- Custom rate limits
- Dedicated onboarding and technical support
* Pricing information is for reference only. Please refer to the latest announcement on Parallel's official website.