Sold by: Parallel Web Systems
Deployed on AWS
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Parallel Search gives AI agents live web data with the best balance of accuracy, cost, and latency. One API powers agents for everything from real-time chat to deep research.
Overview
Web search built for AI agents
Parallel Search grounds your AI agents in the live web with a single tool call. Your agent states its objective in plain language, and we return URLs ranked by how useful each page is for the agent's next reasoning step, each with dense, LLM-ready excerpts. One call replaces the usual search, scrape, and extract pipeline, so your agent makes fewer round trips, spends fewer tokens, and produces more accurate answers.
Why it's different
We built Parallel Search for AI agents from the ground up. We didn't adapt a search product designed for humans.
- Objectives, not keywords. Agents describe what they need ("Columbus-based corporate law firms specializing in disability care") instead of building brittle keyword strings.
- Our own web index. We run our own web index, built for agents with broad coverage of hard-to-reach sources, and recrawl it to keep results fresh.
- Ranking for reasoning. We rank pages by token relevance to the agent's task, so ads and SEO signals don't shape the results.
- Dense excerpts. Every result includes compressed, query-relevant excerpts sized for an LLM context window, so your model reasons over fewer, higher-signal tokens.
- Priced per request. You know the exact cost of a query before it runs, and because your model reads fewer tokens, your model costs go down too.
Core capabilities
- Natural-language objectives, with optional keyword queries for extra control
- Ranked URLs with page titles, publish dates, and dense excerpts, so you can trace every excerpt to its source
- Search modes that trade speed for depth, for agents from real-time chat to deep research
- Configurable result counts, excerpt length, and domain inclusion and exclusion
- Freshness controls that trigger live crawls for pages past a set age, with timeouts to cap latency
- Premium content extraction for PDFs, JavaScript-heavy sites, and CAPTCHA-protected pages
- Works with any model or agent, through our MCP server, the REST API, or the official Python and TypeScript SDKs
- SOC 2 Type 2 certified, with zero data retention available for enterprise customers, which means we don't store or train on their data
Who uses it
More than 100,000 developers build with Parallel, from early-stage startups to Fortune 500 companies, including teams at Harvey, Notion, Rogo, Pfizer, and Replit. Most work in legal, finance, life sciences, sales and marketing, productivity, and coding, on use cases like due diligence, compliance monitoring, CRM and lead enrichment, and market research.
This listing
This is our dedicated Search API offering in AWS Marketplace, served from Parallel's AWS infrastructure. Purchases bill through your AWS account and are eligible to count toward your AWS commitment. This listing covers the Search API only. Extract, Task, FindAll, Monitor, and our other APIs are available through our primary AWS Marketplace listing.
Getting started
Subscribe in AWS Marketplace, then generate an API key at platform.parallel.ai. Your subscription is a $0 contract that you can set to auto-renew. We bill per search request (10 results included) plus per additional result, at the same prices as our standard API, metered hourly to your AWS bill. For custom pricing or terms, contact us about a private offer.
Teams on Amazon Bedrock AgentCore (AgentCore) can add our MCP server as a target on their AgentCore Gateway, and every agent connected to that gateway can call Parallel Search. You'll find full documentation, quickstarts, and MCP setup instructions at docs.parallel.ai.
Highlights
- Parallel delivers the best balance of accuracy, cost, and latency in web search for AI agents, built from the ground up on our own web index.
- Leading companies like Harvey, Notion, Rogo, Pfizer, and Replit use Parallel for high-value knowledge work across legal, finance, life sciences, and coding.
- Parallel is enterprise-ready, with SOC 2 Type 2 certification and zero data retention (ZDR) available. Purchases bill to your AWS account and are eligible to count toward your AWS commitment.
Details
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Deployed on AWS
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Introducing multi-product solutions
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Quick Launch
Leverage AWS CloudFormation templates to reduce the time and resources required to configure, deploy, and launch your software.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month | Overage cost |
|---|---|---|---|
Usage Fee | Usage Fee - 1 unit is 1 cent usd | $0.00 |
Dimensions summary
This listing uses one usage-based dimension. You pay a usage fee where each unit equals one cent USD. Billing scales directly with how much you use the Search API, measured in these units. There are no separate tiers or instance sizes to choose from on Marketplace. Your total cost rises or falls with your search volume, so you only pay for what you consume. This single metered structure keeps billing tied to actual API activity rather than a fixed commitment.
Top-of-mind questions for buyers
One unit equals one cent USD. You spend units on search requests. A single request returning ten results consumes a set number of units, and fetching additional results or pages adds more units. Your unit total tracks the volume and depth of searches your agents run.
Yes. A request returning ten results is priced per request, and asking for additional results beyond that adds a separate charge per extra result. Deeper search modes also cost more per request than lighter modes. Your unit consumption rises with both request count and the number of results retrieved.
You pay only for what you consume. Billing is metered in units, with one unit equal to one cent. There is no fixed charge independent of activity. Each search request draws down units based on the mode and results, so your cost moves directly with your API volume.
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Vendor refund policy
Pricing is usage based. Please contact support@parallel.ai for any specific requests.
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Delivery details
Supported services:
- Amazon Bedrock AgentCore
API-Based Agents & Tools
API-Based Agents and Tools integrate through standard web protocols. Your applications can make API calls to access agent capabilities and receive responses.
Additional details
Usage instructions
For instructions on using the MCP:
https://docs.parallel.ai/integrations/mcp/quickstart
Add https://mcp-aws.parallel.ai to your agent and authorize via Parallel Platform.
Resources
Vendor resources
Support
Vendor support
support@parallel.ai for any inquiries including ZDR, rate limits, or enterprise support.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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