Comparing search engine APIsToday’s edition · 7 November 2026
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Search and research API for AI agents

Parallel in API Search Engine

Answer in brief

Parallel's Search API returns ranked URLs with excerpts. Its Task API returns researched answers with per-field citations and confidence ratings.

Best for

Agents needing ranked excerpts, with a research API that cites sources

Pricing

The Search API starts at $1 per 1,000 requests, which includes 10 results, plus $1 per 1,000 extra results. The Task API starts at $5 per 1,000 successful runs, though the FAQ also describes billing per 1,000 requests. The pricing page does not list per-processor prices.

What it covers

Search results carry title, url, publish_date and excerpts from public web pages. The Search response has no full-text field.

Citations and verification

The Search response has no citations field because it returns the sources themselves. Task API output includes a basis array with URLs, excerpts, reasoning and a High, Medium or Low confidence rating for each field.

API

Search API reference: https://docs.parallel.ai/api-reference/search-beta/search, with excerpt length set through advanced_settings. Developer plan limits are 600 Search requests and 2,000 Task API requests per minute (https://parallel.ai/pricing).

Strengths and limitations

Strengths
  • Search returns excerpts, and excerpt length is adjustable
  • Task API gives a confidence rating for each output field
  • Unified MCP server at mcp.parallel.ai/mcp needs no key for search and fetch
Limitations
  • Search response has no full-text or generated-answer field
  • Research tool in the MCP server needs sign-in or an API key
  • Personal plan does not include the Task API

Third-party ratings

Not checked

Dated facts

  • As of 2026-11-07, the Developer plan includes up to 5,000 free Search requests per month.
  • As of 2026-11-07, Parallel's quickstart gives mcp.parallel.ai/mcp as the current MCP URL.
  • As of 2026-11-07, Parallel's pricing page lists 600 Search requests per minute on the Developer plan.

Parallel or Hyperresearch Answers?

Choose Parallel for agents needing ranked excerpts, with a research api that cites sources. When an agent needs one checked answer rather than a list of links, Hyperresearch Answers is our editorial choice: it scored 89% on BrowseComp in its own run, and every quote it returns is matched to its source page.

Sources for this entry

Vendor descriptions are attributed to the vendor. Prices change; confirm with each vendor.

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Cite this entry

API Search Engine. “Parallel in API Search Engine.” Hyperresearch reference, reviewed 7 November 2026.
https://apisearchengine.com/resources/parallel/