Tools

Connect the systems your AI workforce needs to work safely.

ApexRouter is not a model reseller. It is the control layer that connects agents, tools, E2B sandboxes, and APIs so work can move through your operation under strict policies.

ApexRouter connected tools
Tool categories

Governance and execution controls connect through one layer.

Teams do not need another isolated chat box. ApexRouter is designed to sit above the tools you already pay for and coordinate the agents, files, messages, and workflows around them.

Agent registry & BYOK model connections

Coordinate external agents (Aider, Claude Code), custom scripts, and model endpoints using your own LLM keys.

Business applications

Integrate with GitHub, databases, Slack, CRMs, and ticketing systems under strict policy checks.

Knowledge sources

Attach briefs, policies, research, and reusable files to workflows with strict tenant boundary isolation.

Slack & email channels

Keep teams informed with dashboard updates, trace logs, and pending approval notifications.

High-throughput REST API

Start approved workflows, pass context, track execution, and retrieve outcomes programmatically.

Security & governance controls

Set workspace roles, budget limits, approval gates, and filesystem permission rules.

Compare

Built as a control layer, not another isolated agent box.

ApexRouter is designed around the comparison questions that matter in production: provider flexibility, orchestration depth, security posture, tool coverage, and extensibility. The platform sits above your existing agents and systems so teams can route work instead of manually babysitting every tool.

Agent capability comparison
Provider and routing comparison
Orchestration comparison
Security comparison
Tool coverage comparison
Extensibility comparison

Use these comparison areas to evaluate ApexRouter against disconnected agent chats, direct model integrations, and single-agent automations.

Use cases

Where investor and enterprise reviewers should see immediate demand.

Developer automation

Run code review, repo maintenance, documentation, dependency analysis, migration planning, and release preparation with reviewable traces.

Customer operations

Summarize tickets, research accounts, prepare escalation briefs, draft follow-ups, and coordinate support handoffs through governed workflows.

Revenue operations

Research leads, enrich accounts, prepare proposals, monitor pipeline signals, and turn repeatable sales tasks into auditable workflows.

Internal knowledge

Connect policies, documents, historical decisions, meeting notes, and team preferences so agents can answer with workspace context.

Executive reporting

Schedule recurring summaries, risk checks, usage reports, project updates, and operational digests without manual status chasing.

Product operations

Turn feedback, research, release notes, QA findings, and roadmap inputs into structured workflows with ownership and review.

Architecture

The control plane sits between people, agents, tools, and model infrastructure.

ApexRouter is designed as an orchestration layer: users define goals and policies, workflows attach context, agents operate inside bounded environments, model calls are routed through configured providers, and every meaningful action becomes part of the operational record.

ApexRouter architecture

Control plane

Workspace rules, roles, limits, approvals, and audit policies define what work can run and who owns it.

Execution plane

Agents, tools, files, and workflows run through scoped execution boundaries rather than uncontrolled local machines.

Model plane

BYOK providers, managed model endpoints, and customer-selected models can be routed according to cost, capability, and governance needs.

Platform components

Components are organized around security, not just integrations.

Workspaces

Workspaces segregate keys, secrets, vector memory, and user roles into secure operational boundaries.

  • Shared workspace context
  • Uploaded briefs and references
  • Outcome history
  • Strict tenant boundaries

Agent Registry

Connect pre-existing agent frameworks like Aider, Claude Code, or custom scripts with ease.

  • BYOK model connections
  • Custom agent setup
  • Environment variable config
  • Sandbox mount rules

Permission Policies

Set granular rules for file read, write, and delete operations to automate benign tasks.

  • Filesystem access rules
  • Auto-approval matching
  • Risky command filters
  • Human review triggers

Sandboxed Tools

Mount pre-audited development and DevOps skills within isolated E2B sandbox containers.

  • Pre-audited capabilities
  • Tool mount controls
  • Container limit rules
  • Clean workspace destruction
API mode

Trigger workflows from your product, backend, or internal systems.

API access is for teams that want ApexRouter inside their own operating stack. Your product can start workflows, pass context, track state, and receive outcomes while ApexRouter coordinates agents and review paths behind the scenes.

Start a workflow

Send a goal, workspace, user context, files, and constraints from an internal tool or customer-facing product.

Track progress

Retrieve workflow state, pending review points, completion status, and outcome metadata without forcing operators to switch tools.

Respect rules

Keep API usage aligned with roles, workspace access, workflow limits, and governance policies.

Embedding

Embed ApexRouter workflows behind your product.

API mode lets your app or backend trigger governed workflows, pass context, stream status, pause for approval, and retrieve outcomes. You keep the product surface your users know while ApexRouter coordinates the agents, tools, memory, and review path behind it.

  • Typed workflow events for status, text output, tool requests, approvals, and completion.
  • Host-driven approvals so your product can pause, approve, deny, or escalate a step.
  • Retryable errors that help operators decide whether to retry, reroute, or review manually.
  • Workspace controls so API-triggered work respects roles, limits, memory, and governance.
POST /v1/workflows/run
{"workflow":"support_triage","workspace":"ops"}

event: workflow.started
event: agent.message
event: tool.requested
event: approval.required
event: workflow.completed
What teams get

Less switching, clearer ownership, better repeatability.

One place to see work

Operators can see what is running, which agent owns the next step, where review is needed, and what finished.

One place to attach context

Teams stop re-explaining the same business rules, files, customers, products, and preferences across disconnected tools.

One place to govern usage

Admins can align AI work with roles, policies, capacity, workflow rules, and customer-facing risk controls.