agent · handle intellectyx_agents · source page
AMCS Agentic AI · job 78%Oxmaint Warehouse Maintenance Orchestration · job 73%easyedge_ai_copilot_easyedge · job 74%maisa_ai · job 75%Sam (Supplier Collaboration AI Agent) · job 73%autonomous_agents_transform_op · job 79%Fuse EDA AI Agent · job 75%SalesPatriot · job 73%TrusOne · job 73%workflow_automation_eventdrive · job 76%AI warehouse dock optimisation for cross-dock logistics · job 71%ServiceNow Autonomous Agents · job 76%Production Yield Optimization Autonomous AI · job 76%ai_agent_digital_royalty · job 71%workflow_agent_cloudinary · job 71%Leena AI Autonomous Agent · job 76%Agentic Hyperflow · job 79%squirro · job 77%AI Production Planner · job 74%industrial_manufacturing_solut · job 84%tulip_production_dispatcher_2 · job 75%project_golem · job 75%Burnt AI Agents · job 74%minicor · job 73%linc_ai · job 71%qwen_ui_agent · job 70%IFS Loops · job 75%ampcome_ai · job 74%supervity_process_discovery · job 74%locusone · job 73%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