Get search results and cleaned pages at scale.

SearchCans - Research & Analysis AI Tool

About SearchCans

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Features

Multi‑Engine Search APIs: Unified POST endpoint for Google and Bing search, including organic results, People Also Ask, and Knowledge Graph fields tailored to AI grounding.
Reader API (Web to Text): Converts any URL into structured JSON and Markdown, stripping boilerplate so text can feed directly into RAG or summarization steps.
Parallel Lanes & Lane Stacking: Concurrency model with “lanes” for many requests in flight at once, plus stacking plans to raise throughput without changing integration code.
Developer‑Friendly Responses: Clean JSON schemas that work smoothly with tools like LangChain and LlamaIndex, plus straightforward Bearer token authentication and clear error codes.

Pros

👍 AI‑Native Design: Search plus Reader combination fits agentic workflows and RAG pipelines without custom scraping infrastructure. 👍 Cost‑Focused Pricing: Credits start at roughly $0.56 per 1,000 requests at higher tiers, appealing for heavy workloads. 👍 High Concurrency: Parallel lanes and stacking give a clear path from hobby projects to production traffic. 👍 Simple Integration: Single search and URL endpoints with example code make it quick to plug into existing LLM stacks.

Cons

👎 Narrow Scope: Focuses on search and content extraction rather than end‑to‑end features like ranking, deduplication, or summarization. 👎 Concept Overhead: The idea of lanes, stacking, and throughput estimates may feel abstract for smaller teams. 👎 Ecosystem Still Growing: Some utility APIs, such as file extraction and YouTube search, are still labeled as coming soon.

SearchCans Pricing Plans

Standard

$18

Starter

$99

Pro

$597

Ultimate

$1,680

SearchCans