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SearchCans - AI Data Infrastructure

https://www.searchcans.com

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Authority
45 reach 6 · trust 8 · quality 16 · freshness 15
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listed
llms.txt
https://www.searchcans.com/llms.txt
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15
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Size
21407 bytes
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#730711
Registered
2025-09-26
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United States Hosting inference
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United States Hosting inference
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First seen
2026-10-25T17:55:27.077Z
Last checked
2026-10-27T11:09:57.254Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-26T00:02:58.218Z. Cached copy · Source on searchcans.com

# SearchCans - AI Data Infrastructure
> https://www.searchcans.com
> The Data Layer Your AI Needs
> SERP API + Reader API · Credits from $0.56/1K on Ultimate · 100 Free Credits · No Payment Method Required to Start

## API Versioning Notice (Read First)
- **Current stable version**: `v1` - all endpoints below use `/api/v1/...`
- **Legacy version**: `v0` (`/api/search`, `/api/url`) is **deprecated** and will be **permanently shut down on 2026-12-31 23:59 UTC**
- **Migration**: drop-in replacement, just add `/v1` to the path
- **Legacy docs**: https://www.searchcans.com/api-v0-legacy/

## What is SearchCans?
SearchCans is AI data infrastructure providing real-time search results (SERP API) and LLM-ready web content extraction (Reader API) from one unified platform. Built for AI agents, RAG systems, and developers who need reliable, affordable access to web data.

SearchCans is powered by Vcans, where its scalable search and extraction workflows run.

**Core Value**: Prepaid credit packs from $18, down to $0.56 per 1,000 credits on Ultimate. Standard SERP uses 1 credit; standard Reader uses 2 credits ($1.12 per 1,000 requests on Ultimate), before proxy add-ons. Parallel Lanes limit in-flight concurrency, with no hourly request caps. 100 free credits for new users.

## Core APIs

### 1. SERP API - Search Google & Bing
**What it does**: Get real-time search results from Google and Bing
**Endpoint**: POST https://www.searchcans.com/api/v1/search
**Cost**: 1 credit per API call
**Response Time**: Varies by query, requested features, and network conditions. Measure latency on your workload; no benchmark percentile is asserted here.
**Data returned**: 
- Organic search results (titles, URLs, descriptions, rankings)
- Full metadata

**Use cases**:
- SEO rank tracking
- Competitive intelligence
- Market research
- AI agent web search
- Content discovery

### 2. Reader API - URL to Markdown
**What it does**: Extract supported web pages and PDFs into Markdown. Source access, page structure, and rendering options affect completeness.
**Endpoint**: POST https://www.searchcans.com/api/v1/url
**Cost**: 2 credits per API call
**Response Time**: Varies by source page, rendering, proxy mode, and timeout settings. Measure latency and extraction completeness on your own URLs.
**Data returned**:
- Clean Markdown format
- Main content extraction
- Images and metadata
- Structured data
- No ads or navigation noise

**Use cases**:
- RAG (Retrieval-Augmented Generation) pipelines
- LLM training data collection
- Content aggregation
- Web scraping alternative
- Knowledge base building

**Alternative to**: Jina Reader, Firecrawl, Diffbot

### 3. File Extraction API - Document to Markdown
**What it does**: Convert PDF, DOCX, XLSX, PPTX, DOC, XLS, EPUB to clean, structured Markdown
**Endpoint**: POST https://www.searchcans.com/api/v1/url (with file=1)
…

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2. Publish the verification line "AgentWebMap verification: <token>" (token from step 1) in https://searchcans.com/llms.txt, or use the DNS, meta-tag or well-known method the response describes. This only verifies the listing; your website and domain remain yours.
3. POST https://agentwebmap.com/v1/sites/searchcans.com/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/searchcans.com).
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