Agent Deployment
katonic|Agent Deployment|team_sme|flat
agent_platform · handle katonic · source page
katonic|Agent Deployment|team_sme|flat
katonic|Copilot Seat|pro|flat
katonic|Fine-Tuning Job|unknown|flat
katonic|GPU Hour (H100)|unknown|hour
katonic|LLM API|unknown|token
katonic|Model Serving|unknown|request
katonic|Notebook Environment|pro|flat
bitontree_ai_agent_development · job 71%Agent Access Control · job 72%360 Automation AI Services · job 72%credal_ai · job 80%Jinba · job 79%infor_ai · job 73%cotera · job 72%mateclaw · job 77%CodeGPT AI Agents · job 76%Spark · job 79%tasklite · job 75%AI agents for company knowledge search · job 75%xflo_digital · job 71%coworker_mcp · job 72%help_scout_mcp_server · job 71%SkillFlow - AI Skills Marketplace · job 72%neurostack · job 72%weavable · job 71%setoku · job 75%thinkneo_ai_control_plane · job 74%Explorium B2B Data · job 71%agentgraph_server · job 72%Caos Cerebro · job 71%ESG Hub · job 73%Algenta SDK · job 73%Calven MCP · job 77%zainahmed_net_mcp_server · job 74%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