Public access
aisles|Public access|unknown|flat
aisles|Public access|unknown|flat
channel3 · job 79%Save-On-Foods MCP · job 79%Unwrangle MCP · job 76%StackTheDeal MCP Server · job 78%ARC · job 75%AisleNode · job 78%shop_nobi · job 78%contextwindowsupply · job 74%Library of Alexandria · job 78%traveltype · job 77%StackTheDeal · job 81%Agentic Shelf · job 76%ru-marketplace-mcp · job 77%show_hn_agentic_product_discov · job 77%Muse Commerce MCP · job 81%Open Food Facts MCP · job 78%Lemmebuyit · job 81%Tablero MCP · job 76%Xianyu MCP · job 76%partle · job 78%Lenta MCP Server · job 76%Market Fiyatı MCP · job 77%Pechincha.ai · job 76%multi_service_mcp · job 77%Walmart MCP Server · job 78%Limonene MCP · job 75%splitbasket_prices · job 76%ShelfSignal · job 79%Thrifle MCP Server · job 78%cpg_knowledge_graph · job 76%n11-mcp · job 77%mcp-store-tools · job 80%Superzoo MCP · job 77%hepsiburada-mcp · job 78%okala-mcp · job 77%apteka.online · job 75%SpecTrust MCP Server & UCP Oracle · job 76%migros-mcp · job 81%Percentages are graph-similarity metadata, not suitability scores. A graph edge answers “is it connected” — plan fit and comparable cost are checked below.
Pick the exact reference and alternative series. Each history is separate; gaps stay gaps.
This view calls the same get_evidence tool your agent would — chart, table and MCP response describe the same records. Watch the reference series