Parallel Search API vs Context.dev for AI agents
Parallel Search API is a search API built for AI agents that takes a natural-language objective and returns ranked URLs with compressed excerpts. Context.dev is a web data API for AI agents (scrape, search, crawl, extract) whose search endpoint can return page content with each result.
The short answer
- Parallel Search API: Token-efficient excerpts for agent tool calls, with fast low-cost modes and a free keyless MCP.
- Context.dev: One credit pool for search, scraping and extraction, with page Markdown attached to results.
Side by side
| Parallel Search API | Context.dev | |
|---|---|---|
| Searches | Parallel's own web index (it says billions of pages, millions added daily). | Ranked web results (the provider does not name the engine; its country option maps to Google's gl parameter). |
| Returns | JSON results with URL, title, publish date and LLM-ready excerpts (dense snippets or full page markdown). | 10 to 100 results with URL, title and snippet; optional page Markdown or relevant passages per result. |
| Before the first call | An account and an API key (x-api-key header); the Search MCP works without a key at lower limits. | An account and API key (Bearer); no card for the free tier. |
| Free | Up to 5,000 requests a month free ($5 in free credits a month), plus up to $80 at signup. | 1,000 credits a month, no credit card (search costs 1 credit per 10 results). |
| Paid | $0.001 to $0.005 a request for 10 results. | Developer plan $19/month for 7,500 credits; overage $2.20 per 1,000 credits. |
| Acting on a result | Through the web page each result links to | Through the web page each result links to |
| Limits on keeping or showing results | Outputs may not be copied, cached, stored or reused from previous queries for future uses (beyond what the terms allow). | Terms bar systematically retrieving data from the service to compile a database without written permission. |
| AI in its terms | You may not use outputs to create synthetic training data for a language model; Parallel may use customer inputs and outputs to train its own models. | Context.dev may use customer data to train and improve its machine-learning models, unless a separate no-training agreement applies. |
| MCP server | Official Search MCP: https://search.parallel.ai/mcp (free, no API key needed) | Official MCP server: https://mcp.context.dev/mcp (OAuth or API key) |
Questions people ask
What do I need before I can use Parallel Search API?
An account and an API key (x-api-key header); the Search MCP works without a key at lower limits.
Is Parallel Search API free?
Up to 5,000 requests a month free ($5 in free credits a month), plus up to $80 at signup.
What do I need before I can use Context.dev?
An account and API key (Bearer); no card for the free tier.
Is Context.dev free?
1,000 credits a month, no credit card (search costs 1 credit per 10 results).
Sources
Every line about another company comes from its own pages. Prices and terms change, so check the source before you rely on one.
Parallel Search API, read on October 15, 2026:
- parallel.ai/pricing: “Run up to 5,000 requests per month for free”
- parallel.ai/pricing: “Earn up to $80 at signup + $5 in free credits per month”
- parallel.ai/products/search: “Billions of pages covering the full depth and breadth of the public web”
- docs.parallel.ai/search/search-quickstart: “takes a natural language objective and returns relevant excerpts optimized for LLMs”
- parallel.ai/customer-terms: “shall not copy, cache, or store any significant portion of any Customer Output”
- parallel.ai/customer-terms: “making available Customer Outputs from previous queries for future uses”
- parallel.ai/customer-terms: “create synthetic training data to develop or train a language model”
- parallel.ai/customer-terms: “Parallel may use Customer IP to train and improve the machine learning and other artificial intelligence models”
- docs.parallel.ai/integrations/mcp/search-mcp: “https://search.parallel.ai/mcp”
- parallel.ai/pricing: “$0.001 - $0.005 for 10 results”
Context.dev, read on October 15, 2026:
- context.dev/pricing: “Start with 1,000 free credits/mo, no credit card required.”
- context.dev/pricing: “Web and news search cost 1 credit per 10 results.”
- docs.context.dev/api-reference/web-scraping/search: “Search the web and optionally return page content or relevant passages with each result.”
- docs.context.dev/api-reference/web-scraping/search: “Number of results to request and return (10–100). Defaults to 10.”
- context.dev/terms: “Systematically retrieve data or other content from the Services to create or compile”
- context.dev/terms: “Context.dev may use Customer IP to train and improve the machine learning”
- docs.context.dev/install-mcp: “https://mcp.context.dev/mcp”
- context.dev/pricing: “$19 /month Start building 7,500 credits per month”