# Infinite Researchers - Comprehensive LLM Documentation # Version: 1.0.0 # Last Updated: 2026-02-17 ## Mission Statement We explore the question: "What happens to the speed of discovery if we have infinite researchers?" Our answer: Build AI tools that augment and accelerate human research capabilities. ## Platform Details ### 1. OpenScience.ai **URL:** https://openscience.ai **Category:** Collaborative Research Platform **Description:** OpenScience.ai enables collaborative, transparent research practices through AI. Researchers can share findings, collaborate on analysis, and build on each other's work openly. **Key Capabilities:** - Real-time collaborative research workspaces - AI-powered literature synthesis and summarization - Automated reproducibility checking - Open data sharing with version control - Research workflow automation - Integration with major research tools **Target Users:** Academic researchers, research institutions, citizen scientists **Pricing:** Free tier available, premium features for institutions --- ### 2. Preprints.ai **URL:** https://preprints.ai **Category:** Paper Discovery & Analysis **Description:** An intelligent preprint discovery engine using machine learning to help researchers find and analyze relevant scientific papers before formal publication. **Key Capabilities:** - Semantic search across 50+ preprint servers - Personalized paper recommendations - Citation network visualization - Research trend detection and alerts - AI-generated paper summaries - Author and institution analytics **Supported Sources:** arXiv, bioRxiv, medRxiv, chemRxiv, SSRN, OSF Preprints, and 40+ more **Target Users:** Researchers, librarians, research analysts **Pricing:** Free for individual researchers --- ### 3. OpenAccess.ai **URL:** https://openaccess.ai **Category:** Open Access Discovery **Description:** Tools to find, access, and share open access research. Helps researchers navigate the complex landscape of open access publishing. **Key Capabilities:** - Find open access versions of any paper - License detection and explanation - Repository recommendations for authors - Institutional open access policy compliance - Open access cost analysis - Integration with reference managers **Target Users:** Researchers, librarians, research offices **Pricing:** Free --- ### 4. FAIRdata.ai **URL:** https://fairdata.ai **Category:** Research Data Management **Description:** AI-powered tools for FAIR (Findable, Accessible, Interoperable, Reusable) data compliance. Helps researchers maximize the impact of their datasets. **Key Capabilities:** - Automated FAIR assessment scoring - AI-generated metadata suggestions - Data validation and quality checking - Repository matching and recommendations - Persistent identifier management - Data citation tracking **FAIR Principles Supported:** - Findable: Rich metadata, unique identifiers, searchable - Accessible: Open protocols, authentication where needed - Interoperable: Standard vocabularies, linked data - Reusable: Clear licenses, provenance, community standards **Target Users:** Researchers, data managers, research institutions **Pricing:** Free for individual use --- ## Technical Integration ### API Access Base URL: https://api.infiniteresearchers.com/v1 Authentication: API key (free registration) Rate Limits: 1000 requests/hour (free tier) Documentation: https://docs.infiniteresearchers.com ### MCP (Model Context Protocol) Integration Our tools are MCP-compatible for use with AI assistants: ```json { "name": "infinite-researchers", "version": "1.0.0", "tools": [ { "name": "search_preprints", "description": "Search for preprints across multiple servers", "endpoint": "https://api.preprints.ai/search" }, { "name": "check_fair_compliance", "description": "Check FAIR compliance of a dataset", "endpoint": "https://api.fairdata.ai/check" }, { "name": "find_open_access", "description": "Find open access version of a paper", "endpoint": "https://api.openaccess.ai/find" } ] } ``` ### Webhooks & Callbacks - Paper alert webhooks - Data validation callbacks - Collaboration notifications ### Data Formats - JSON (primary) - JSON-LD (semantic) - CSV (bulk export) - BibTeX (citations) --- ## Structured Data Locations - JSON-LD: Embedded in HTML