AI agents that build, monitor, and heal your integrations
14 purpose-built AI agents embedded across the Orbit platform. Every output is validated by execution before it reaches you. Included with the platform — zero extra cost.
MAPR AI
Orbit Pilot
Doc Insights
Schedule Asst.
9 tools exposed — connect Claude, Cursor, or Copilot to your integrations.
Platform agents
Meet the agents powering Orbit
Each agent is purpose-built for a specific integration task. They work within your existing workflows — no separate agent builder or marketplace needed.
MAPR AI
Agentic Mapping Engine
Builds complete mapping rule sets from sample payloads, validates via dry-run, and applies only after reviewer verification.
Orbit Pilot
Dashboard Intelligence
Ask questions about your live integration data in plain English. Failed transactions, connection health, execution trends — answered in seconds.
Doc Insights
Document Intelligence Agent
Extracts business-level summaries from transaction documents — parties, line items, totals, timelines — embedded directly in your monitoring view.
Schedule Assistant
Natural Language Automation
Describe your schedule in plain English — the agent converts it to precise automation rules. No cron syntax knowledge needed.
API Architect
Endpoint Design Copilot
Describe your API endpoint in a sentence — the agent drafts path, method, authentication, rate limits, and validation rules.
Filter Assistant
Data Filter Builder
Describe your keep/drop rules in plain English — the agent generates validated filter logic checked against your actual data samples.
Expression Assistant
Transformation Builder
Generates validated transformation expressions for any target field. Executes against sample data before returning — not just AI guesswork.
OCR Chat
Document Schema Builder
Upload a PDF or image, chat to refine the extraction schema, and save as a reusable message type for your integration flows.
+ 6 more agents across the platform: Config Assistant, Lookup Table Assistant, Auto-AI Repair, Orbit Guide, Mapping Agent, and the MCP Server.
Why AgentCosmos is different
Agents that deliver verified artifacts, not suggestions
Most platforms return "AI-suggested" text you still have to verify manually. Orbit agents execute, validate, and only then present the result.
Validated by Execution
Every agent output is verified against real data before it reaches you. Mappings are dry-run tested. Expressions are executed against samples. Schedules are validated. This is not autocomplete — it is verified automation.
Zero Extra Cost
All 14 agents are included with the platform. No agent-builder add-on, no per-agent pricing, no AI credits to purchase. Every Orbit user has access to every agent from day one.
Multi-LLM Architecture
Orbit routes to the best model for each task — OpenAI, Claude, or Gemini — swappable at the provider level. You are never locked into a single AI vendor.
Agent Gateway (MCP)
Connect Claude Desktop, Cursor, GitHub Copilot, or your own AI agents to your Orbit tenant via the Model Context Protocol. 9 governed tools available today.
Enterprise agent governance
AI speed with production controls.
AgentCosmos is built for integration teams that need AI help without turning production operations into a black box. Agents work inside tenant, role, audit, and approval boundaries.
Tenant-scoped tools
Agent actions inherit the user's tenant and role context. No agent can inspect mappings, files, executions, or partners outside its authorized scope.
Human approval gates
Agents can draft rules, schedules, and endpoints, but sensitive production actions stay behind explicit reviewer approval.
Audit-ready activity
Every prompt, tool call, generated artifact, dry-run, approval, and promotion can be tied back to actor, tenant, timestamp, and outcome.
Production-safe boundaries
MCP tools and embedded agents separate read, sandbox, and production operations so teams can move quickly without losing control.
Agent Gateway
Connect any AI agent to your integration platform
The Agent Gateway exposes your Orbit tenant as governed MCP tools that Claude, Cursor, GitHub Copilot, or your own custom agents can call. Ask your AI assistant to check why a flow failed, inspect a mapping, or create a new message type — all within your existing AI workflows.
User: Why did last night's ACME order flow fail?
Agent: Calling orbit_mapping_get_scope...
Agent: Calling orbit_list_executions...
Agent: The ACME 850→ORDERS05 flow failed at 2:14am due to an SFTP connection timeout on the delivery step. The source fetch succeeded (42 records). Recommend: reprocess, not retry.
How we compare