machinelibrary.ai

Overview

Data updates weekly; see the notes on estimated values Data notes

AI Analysis

Compiled by an LLM based on landing page content; speculative judgments are noted.

Search, backlinks & monetization

{
  "domain": "machinelibrary.ai",
  "name": "Machine Library",
  "title": "Full-Text Research Retrieval API | Machine Library by Space Frontiers",
  "description": "Search research papers, books, patents, and public discussions. Get citable full text through the Machine Library web app, REST API, and MCP server.",
  "desc_zh": "A full-text search API for developers and researchers to search papers, books, patents, and public discussions and obtain citable full text.",
  "cat1": "[\"研究与数据\", \"编程与开发\"]",
  "cat2": "[\"学术文献检索\", \"检索 API\", \"MCP 服务\"]",
  "site_type": "[\"品牌驱动\"]",
  "keyword_type": "功能词",
  "model_family": null,
  "model_version": null,
  "status": "正常",
  "registered": "2026-09-12",
  "rank": 420576,
  "visits": 27269,
  "visits3": "[10071, 10071, 27269]",
  "growth": 170.8,
  "dr": 6.8,
  "tech": "[\"Nuxt\"]",
  "analytics": "[\"Google Analytics\"]",
  "payments": "[]",
  "pricing": "[]",
  "monetization": "[\"API 计费\"]",
  "monetization_score": 35.2,
  "keywords": "[\"full text research retrieval api\", \"research paper search api\", \"mcp server research\", \"patent search api\", \"citable full text search\"]",
  "outbound": "[\"github.com\"]",
  "badges": "[]",
  "seo": "{\"words\": 471, \"lang\": \"en\", \"internal\": 28, \"outbound\": 1, \"images\": 1, \"images_no_alt\": 1, \"schema\": [\"WebApplication\", \"Offer\", \"Organization\", \"WebSite\", \"SearchAction\", \"EntryPoint\", \"ImageObject\", \"ContactPoint\"]}",
  "insight": "{\"problem\": \"Developers and researchers need full-text search across papers, books, patents, Reddit, YouTube, and other sources, and need citable original text; building their own crawling and indexing is costly.\", \"before\": \"Manually check each database and search site separately, or crawl, clean, and build indexes yourself, with citation traceability verified by hand.\", \"now\": \"Search the corpus uniformly via a web app, REST API, or MCP server, and directly get citable full text with coordinates to plug into your own AI workflow.\", \"vs\": \"Similar products are mostly single-source literature search or pure web search; this one emphasizes multi-corpus coverage plus citable full text, and is offered to AI agents in MCP form.\", \"audience\": [\"Developers building AI retrieval/RAG\", \"Academic and intelligence researchers\", \"AI product teams that need literature data\"], \"hooks\": [\"Full text is citable and carries location coordinates\", \"Dual access via REST API and MCP server\", \"Covers papers, books, patents, magazines, YouTube, and Reddit\"], \"pay_willingness\": \"中等\", \"growth\": \"About 26k visits, up about 161%, in an early rapid-growth stage with a still-small base.\", \"acquisition\": \"Inferred to be driven mainly by developer communities, MCP/AI tool directories, and technical content distribution, with searches skewing toward feature terms.\", \"moat\": \"The moat lies in corpus licensing, index quality, and the engineering capability for citable full text, not the model itself; data sources require ongoing maintenance.\", \"money\": \"No pricing or payment channels detected on the page; based only on the API/MCP positioning, it may charge by usage volume, but specifics are unknown.\"}",
  "is_sample_revenue": 0,
  "is_new": 1,
  "reg_relaxed": 0,
  "updated_at": "2026-10-18T19:05:51+00:00"
}

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