Skip to content
Stork.AIstork.ai
Build

Querit

Querit is a web search API for AI agents and retrieval-augmented generation (RAG) pipelines, with ranked results, optional page text, and search filters.

Freemium · API

Pricing Plans

Free$0

Free monthly API credits to get started.

Search API$4 / 1,000 requests

1,000 free searches/month. · Optional Webpage text Return: +$1.00 / 1K pages.

Contents API$1 / 1,000 pages

Full-Page Web Content with structured output and rich metadata.

EnterpriseCustom

Enterprise-grade APIs with custom pricing, flexible contracts, and dedicated support.

What is Querit?

Querit is a web search API tool that enables AI developers to retrieve current web search results and page content for agents and RAG pipelines. It returns ranked results, supports site, time, and language filters, and provides code and finance search verticals. Querit also offers a contents endpoint for clean page text and an MCP server.

Key Features of Querit

Querit exposes web search and page-content retrieval through an API intended for AI applications. Its listed technical features include text-based search, configurable filters, and dedicated search verticals.

  • Search endpoint returns ranked web results with optional page content.
  • Contents endpoint retrieves clean text from web pages.
  • Filters include site, time, and language.
  • Dedicated search verticals cover code and finance.
  • Multilingual search index supports queries across languages.
  • MCP server provides an integration path for MCP-compatible tools.
  • API requests use Bearer-token authentication with an API key.
  • Free plan limit is 1 request per second; pay-as-you-go limit is 10 requests per second.

Who Should Use Querit?

Querit is intended for developers building AI systems that need web information retrieved through an API. The listed use cases include agent and RAG pipelines, real-time knowledge for language models, smart-device question answering, finance, and education.

  • AI-agent developers retrieving current web results for agent workflows.
  • RAG developers supplying search results and page text to retrieval pipelines.
  • LLM application teams adding real-time web knowledge to language-model systems.
  • Smart-device developers building precise question-and-answer features.
  • Finance and education application developers using web search in those domains.

How to Use Querit

Create or obtain a Querit API key and send authenticated requests using a Bearer token. Consult the API documentation at https://www.querit.ai/en/docs for endpoint details.

  1. Review the API documentation at https://www.querit.ai/en/docs.
  2. Obtain an API key for Bearer-token authentication.
  3. Choose the search endpoint for ranked results or the contents endpoint for clean page text.
  4. Set relevant site, time, or language filters and select a code or finance vertical when applicable.
  5. Send requests within the rate and monthly limits of the selected plan.
  6. Use the returned results or page text in the application’s AI or RAG workflow.

Querit Pricing & Plans

Querit lists a free allowance of up to 1,000 requests per month, limited to 1 QPS. Search API usage is priced at $4 per 1,000 requests, while Contents API usage is $1 per 1,000 pages. The pay-as-you-go tier has a stated limit of 10 QPS, but its price is not specified. Enterprise pricing and rate limits are custom.

  • Free: $0; up to 1,000 requests per month and 1 QPS.
  • Search API: $4 per 1,000 requests.
  • Contents API: $1 per 1,000 pages.
  • Pay-as-you-go: price not specified; 10 QPS.
  • Enterprise: custom pricing and rate limits.

Pros

  • Free tier provides up to 1,000 requests per month.
  • Published per-unit prices are $4 per 1,000 search requests and $1 per 1,000 page extractions.
  • Search and clean page-text retrieval are available through separate API endpoints.
  • Search supports site, time, and language filters, plus code and finance verticals.
  • MCP server and Bearer-token API authentication are documented.

Cons

  • Pay-as-you-go pricing is not specified, despite a stated 10 QPS limit.
  • The free tier is limited to 1 QPS and 1,000 requests per month.
  • Enterprise pricing and rate limits require custom terms.
  • The listed modality is text; image, audio, and video search capabilities are not specified.

Querit vs Competitors

Querit is a web search API with page-content retrieval and code and finance verticals. The listed alternatives differ in search method, indexing, framework tooling, or hosting model.

See every Querit alternative, compared

Querit

Freemium · API

Visit Querit

Enjoying this? Get one like it in your inbox each morning.

one email a day · unsubscribe in two clicks · no third-party tracking

𝕏
X / Twitterx.com/QueritAi
⌘
GitHubgithub.com/querit-ai
in
LinkedInwww.linkedin.com/company/queritai
💬
Discorddiscord.com/invite/4xXsFA8Ed2