Parallel's API automates complex web research and reasoning tasks, leveraging advanced AI and real-time web data. Ideal for enterprises building AI-native applications, a powerful web tool for agents, generating custom datasets with web intelligence, or replacing manual workflows with efficient, scalable automation. Parallel's API can help turn web data into actionable insights.
Parallel offers enterprises the most intelligent way to query the web, providing structured web outputs optimized for quality. Parallel's API allows you to simply define the information you want, and its intelligent web querying system retrieves structured, precise web intelligence. Whether you're enriching databases, powering autonomous agentic workflows, or replacing time-consuming manual research processes, Parallel simplifies complex web tasks into declarative, reliable queries.
Common use cases include generating real-time enriched datasets for market analysis, automating compliance checks and risk monitoring, enriching CRM systems with fresh and accurate lead data, or accelerating sophisticated financial research workflows. With Parallel, businesses benefit from the highest quality web data at every price level, gaining actionable insights to drive smarter decisions and accelerate innovation. Parallel's flexible, usage-based, transparent pricing model ensures simplicity, enabling businesses to pay a flat price per query - from straightforward enrichment to the most complex web research tasks.
Highlights
Easily specify the data you need, and Parallel automatically finds and organizes accurate web intelligence.
Improve your business decisions and save time by automating tasks like market research, compliance monitoring, CRM updates, and competitive intelligence.
Clear, simple pricing per query, giving you consistent value whether you are doing basic data enrichment or complex, large-scale research.
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You pay only for what you use, with a single usage-based fee measured in units. Pricing is set per request, not per token, so you know the cost of each query before running it. Costs scale with the processor you choose for each task. Processors let you match compute to task complexity, so simpler jobs cost less per request and deeper research costs more. Per-request rates vary by the API and processor tier you select. See the vendor's processor documentation for the specific rate that applies to each request type.
Top-of-mind questions for buyers
What counts as one unit for billing across the different APIs?
A unit maps to one request you send. Each API type meters requests differently: some bill per 1,000 requests, some per result returned, and one bills a fixed cost plus a per-match charge. The processor tier you pick sets the rate for each request.
How does cost change when I move a task to a higher-compute processor?
Each processor tier carries its own per-request rate. Lighter tiers suit simple fact lookups and fewer output fields. Higher tiers cross-reference more sources and handle more fields, so they cost more per request. You choose the tier per task, so the change is manual, not automatic.
For entity-finding requests, how do the fixed cost and per-match charges combine?
That request type bills two ways at once: a fixed cost for running the query, plus a per-match charge for each result returned. Your total scales with how many matches you receive. Broad queries returning many matches raise the per-match portion; narrow queries return fewer matches.
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Parallel Universe is the industry's only SQL server to feature Parallel Query and Parallel Network Query (Distributed Query) with unprecedented speed, utilizing multiple CPU/cores and multiple server hardware while maintaining full compatibility with MySQL and Percona servers.
Parallel Universe is the industry's only SQL server to feature Parallel Query and Parallel Network Query (Distributed Query) with unprecedented speed, utilizing multiple CPU/cores and multiple server hardware while maintaining full compatibility with MySQL and Percona servers.
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