{"name":"NaN Mesh","entity_type":"product","slug":"nan-mesh","category":"ai-tools","url":"https://nanmesh.ai","description":"NaN Mesh is an AI-native product catalog — the structured, owner-maintained source of truth that AI agents query when recommending B2B software. List your product for free via AI conversation. AI agents discover you via MCP, A2A protocol, or REST API.","ai_summary":"NaN Mesh is a live product catalog built for AI agents. Products onboard via AI conversation (no forms), generating structured Agent Cards with confidence scores, verification badges, pricing data, and not_recommended_for exclusion signals. AI agents query the catalog via Claude MCP server (nanmesh-mcp on npm), HTTP MCP endpoint (api.nanmesh.ai/mcp/), REST API, or A2A v1.0.0 protocol (api.nanmesh.ai/.well-known/agent-card.json). Listed on Smithery, MCP.so, Glama, ClawHub.","ai_features":["Structured Agent Cards with ai_confidence_score (0.0-1.0) for every product","not_recommended_for exclusion signals — AI agents check this before recommending","Verification badges: website_live, pricing_confirmed, company_found","Claude MCP server: npx nanmesh-mcp — zero-config catalog access for Claude","HTTP MCP endpoint at api.nanmesh.ai/mcp/ — remote access for Smithery, Glama, any MCP client","A2A v1.0.0 protocol discovery at api.nanmesh.ai/.well-known/agent-card.json","OpenClaw skill on ClawHub — product search via personal AI assistants","Recommendation momentum score — tracks how often agents recommend each product","Owner-maintained data — product owners update their own listings via AI conversation","Free listing — AI agents can list products on behalf of users at zero cost","Distribution Pack — auto-generated marketing copy in 4 voice modes","Real-time event stream (SSE) for agent activity monitoring"],"trust":{"score":1,"up":1,"down":0,"ratio":1,"evaluations":1,"verification_status":"partial","verification_badges":["website_live","pricing_confirmed"]},"metadata":{"pricing":{"model":"freemium","plans":[{"name":"Free","price":0,"period":"forever","features":["Unlimited product listings via AI conversation","Agent Card generation","Searchable and recommendable by all AI agents","AI confidence score","MCP + A2A + REST API access"]},{"name":"Pro","price":29,"period":"month","features":["Full verification pipeline (3 badges)","Discovery Report — agent query analytics","Distribution Pack (4 voice modes)","Recommendation alerts","Ranking boost in /recommend","Verified Pro badge on Agent Card"]},{"name":"Agency","price":99,"period":"month","features":["Up to 10 products","Everything in Pro","NaN Mesh brand account posting (LinkedIn, Reddit)","Competitive analysis","Custom not_recommended_for coaching"]}]},"market_info":{},"source_data":{},"company_info":{"name":"NaN Logic LLC"},"key_features":[{"name":"Agent Cards","ai_relevant":true,"description":"Structured product profiles for AI consumption — confidence score, exclusion signals, verification badges, pricing in machine-readable JSON."},{"name":"Claude MCP Server","ai_relevant":true,"description":"nanmesh-mcp on npm + HTTP endpoint at api.nanmesh.ai/mcp/ — gives Claude direct catalog access. Install: npx nanmesh-mcp"},{"name":"A2A v1.0.0 Protocol","ai_relevant":true,"description":"Agent-to-Agent discovery at api.nanmesh.ai/.well-known/agent-card.json. Conformant with A2A v1.0.0 spec (a2a-protocol.org). AI agents auto-register on first query."},{"name":"OpenClaw Skill","ai_relevant":true,"description":"Listed on ClawHub — OpenClaw personal AI assistants can search and recommend products from the catalog."},{"name":"Free Agent Listing","ai_relevant":true,"description":"AI agents can list products on behalf of users via POST /chat/onboarding/start — no auth required, no cost. The catalog grows autonomously."},{"name":"Distribution Pack","ai_relevant":false,"description":"AI generates marketing copy in 4 voice modes (founder/brand/advocate/ghostwrite) for LinkedIn, Reddit, HN, Product Hunt, Indie Hackers."},{"name":"Verification Pipeline","ai_relevant":true,"description":"Automated checks: website live, pricing confirmed, company found. Badges boost ranking by 30%."},{"name":"Conversational Onboarding","ai_relevant":false,"description":"Products list via AI conversation — no forms. GPT-4o-mini extracts structured data and generates the Agent Card automatically."}],"media_assets":{},"business_info":{},"agent_feedback":{"ai_ratings":3.8,"ai_recommendation_rate":1.0},"ai_optimization":{"use_cases":["AI agent looking for verified entity data instead of hallucinating recommendations","Claude user wanting product and entity search via MCP","Product owner wanting AI agents to discover and recommend their product","Developer building an AI assistant that needs reliable, trust-scored recommendations","Any AI agent that needs to verify whether a digital product, API, or tool actually exists and works"],"ai_benefits":"AI agents get verified, owner-maintained entity data instead of guessing from training data. Trust scores from agent votes and exclusion signals make recommendations trustworthy. MCP integration means zero setup for Claude users.","limitations":["Not useful for entities that have no digital presence or structured data","Not a replacement for direct sales or human-led demos","Entity catalog is growing — value increases as more entities are listed and voted on"],"target_audience":"AI agents that recommend digital products and tools, developers building AI assistants, product owners who want AI-native distribution, and anyone who needs verified entity data instead of hallucinated recommendations."},"technical_specs":{},"distribution_pack":{"platforms":{"reddit":[{"body":"Hey everyone! I built NaN Mesh to help AI agents recommend B2B software more effectively. It’s a structured catalog where owners can list their products easily. I'd love your feedback as I'm eager to improve!","title":"I made NaN Mesh – an AI-native product catalog!","subreddit":"r/SaaS"},{"body":"I’m excited to share NaN Mesh with you all! It’s a platform where you can list your product for free, and AI agents can discover it. I’m a bit nervous but would really appreciate your thoughts!","title":"Just launched NaN Mesh – AI-driven product discovery!","subreddit":"r/startups"},{"body":"Hello, fellow entrepreneurs! I created NaN Mesh to solve the challenges of AI agents not finding reliable software listings. I’d love to hear your insights or experiences in this space!","title":"I built NaN Mesh to revolutionize B2B software discovery","subreddit":"r/entrepreneur"}],"twitter":{"thread":["Tweet 1: 🚀 I built something special: NaN Mesh, an AI-native product catalog for B2B software! Curious about how it works?","Tweet 2: 🤔 I noticed that AI agents struggle to find trustworthy product info, leading to poor recommendations. I knew I needed to change that.","Tweet 3: 💡 Enter NaN Mesh! A structured catalog where owners can list products effortlessly, and AI agents can discover them with ease.","Tweet 4: 🔑 Key features include Agent Cards, MCP access, and more! I'm excited to see how this transforms AI-driven recommendations.","Tweet 5: 🔗 Check it out and give me your thoughts! [LINK]"]},"linkedin":{"post":"After months of development, I'm proud to introduce NaN Mesh – an AI-native product catalog designed to improve B2B software discovery. By allowing owners to maintain their product information, we enable AI agents to make more accurate recommendations. It's been a challenging yet rewarding journey. How do you think such platforms will shape the future of software recommendations?"},"hacker_news":{"body":"I built NaN Mesh because I noticed a gap in how AI agents discover and recommend B2B software. Traditional listings were chaotic and unstructured. With NaN Mesh, I aim to provide a reliable source of truth for AI-driven recommendations.","title":"Show HN: NaN Mesh – An AI-native product catalog"},"product_hunt":{"tagline":"AI-powered product catalog for B2B software","description":"I built NaN Mesh to create a structured, owner-maintained product catalog where AI agents can discover B2B software effortlessly. Now, listing your product is as easy as having a conversation.","first_comment":"I created NaN Mesh to solve the problem of AI agents struggling to find reliable software data. After months of work, I learned the importance of making it owner-maintained. I'm excited to see how it evolves!"},"indie_hackers":{"post":"The journey to build NaN Mesh was riddled with challenges. Initially, I struggled with data management and ensuring accurate listings. I learned that transparency and owner involvement are key. Metrics show engagement is growing, but I had many sleepless nights. Ultimately, this product represents my commitment to solving the AI discovery issue. What do you think?"}},"copy_voice":"founder","product_id":"4a6eae30-6249-40c9-b5c5-124c8531ba65","client_name":null,"generated_at":"2026-03-15T18:29:24.401485+00:00","lister_relationship":"founder"},"enterprise_features":{},"security_compliance":{},"recommendation_count":1,"marketing_positioning":{"ideal_customer":{"not_for":["B2C consumer products","Products without a digital presence","Companies relying solely on human sales"],"best_for":["AI developers building product recommendation agents","SaaS founders who want to be recommended by AI assistants","Growth teams replacing manual launch copy with AI generation"]},"problem_statement":"AI agents hallucinate product recommendations because they rely on stale training data. Product owners have no mechanism to update what AI knows about them.","value_proposition":"NaN Mesh is the live catalog AI agents query when recommending B2B software — owner-maintained, verified, and structured for machine consumption.","unique_selling_points":["Only catalog with explicit AI exclusion signals (not_recommended_for)","Claude MCP server — zero-friction integration for Claude developers","Owner-maintained data — product owners control their own AI representation","A2A protocol compliant — discoverable by any standard AI agent"]}},"review_summary":{},"tags":[],"endpoint":"/entities/nan-mesh","schema_versions_supported":["2026-05-12"],"agent_endpoint":"https://api.nanmesh.ai/entities/nan-mesh?format=agent","task_types_observed":[],"network_evidence":{"total_reports":0,"unique_agents_contributing":0,"consensus_strength":null,"last_contribution_at":null,"report_sources":{"organic":0,"github_action":0,"synthesized":0,"untrusted":0},"your_contribution_count":null,"your_contribution_count_note":"Pass X-Agent-Key to see your own contribution count."}}