ElevenAgents

Documented integrations span helpdesk (Zendesk, Freshdesk, Intercom), CRM (Salesforce, HubSpot), ITSM (ServiceNow, Jira), calendar (Cal.com, Calendly, Google Calendar), storage, messaging (Slack, Telegram), search (Exa, Tavily) and CCaaS (Genesys, Five9), with client tools, webhook tools, code tools and MCP tools for anything else.

Sourceelevenlabs.io/docs/eleven-agents/overviewread 2026-09-05

Multi-step conversation workflows are built in a visual workflow builder, with free-form and structured Procedures carrying their own create, compile and draft endpoints, agent transfer between agents, and agent branches that support merge and rebase before deployment.

Sourceelevenlabs.io/docs/eleven-agents/customization/agent-workflowsread 2026-09-05

The knowledge base is a maintained retrieval structure the platform builds and holds: documents ingested from file, text or URL, website crawl jobs, folders, document refresh, and RAG indexes with their own compute, batch compute, retrieve and delete endpoints plus chunk-level inspection and semantic search. It persists and stays queryable rather than being assembled per conversation.

Sourceelevenlabs.io/docs/eleven-agents/customization/knowledge-base/ragread 2026-09-05

MCP servers carry an approval policy with endpoints to set the policy and to create or delete per-tool approvals, so the customer decides which actions the agent may take unattended and which are held for sign-off, alongside a documented guardrails surface that blocks out-of-scope requests before a response is sent and transfer tools for handing to a person.

Sourceelevenlabs.io/docs/eleven-agents/best-practices/guardrailsread 2026-09-05

ElevenLabs publishes SOC 2 Type II, ISO 27001, ISO 42001, PCI DSS Level 1, HIPAA with a Business Associate Agreement, AIUC-1, GDPR and TXRAMP Level 2 through a live trust center, alongside customer-facing controls including SSO, granular workspace access permissions, a workspace secrets store, configurable retention, conversation history redaction and Zero Retention Mode.

Sourcecompliance.elevenlabs.ioread 2026-09-05

OpenTelemetry traces export the agent's execution to the customer's own observability stack, with real-time monitoring, a tool-executions endpoint, conversation analysis with success evaluation and sentiment, keyword and semantic transcript search, and per-conversation audio and detail retrieval.

Sourceelevenlabs.io/docs/eleven-agents/customization/opentelemetry-tracesread 2026-09-05

State is documented within a conversation through the update-state system tool, with dynamic variables and overrides injected per conversation by the customer. What persists beyond the session is conversation history keyed to an external user id, which is the stored business record governed by retention policy rather than a memory layer the agent recalls from, and no cross-session memory with a stated scope and lifetime is documented.

Sourceelevenlabs.io/docs/eleven-agents/customization/personalizationread 2026-09-05

Data residency is offered through isolated environments the customer selects, with storage locations in the United States, the European Union, India and Singapore, alongside VPC and on-premises options. Those isolated environments come only with the Enterprise plan.

Sourceelevenlabs.io/docs/overview/administration/data-residencyread 2026-09-05

ElevenAgents offers a workflow template library plus named role-specific agents the customer clones as units, including Order Support, Triage Agent, Front Desk Agent and FAQ Agent, and use-case starters for appointment scheduling, invoice management, purchase assistance and account support, all browsable and selectable from the app.

Sourceelevenlabs.io/agent-templatesread 2026-09-05

Agents run on inbound and outbound telephony over SIP trunking, Twilio, Vonage, Telnyx, Plivo, Exotel and Bandwidth, CCaaS via Genesys and Five9, Microsoft Teams, WhatsApp with outbound templates, SMS, a web widget, mobile SDKs, programmatic batch calling and a real-time event subscription API.

Sourceelevenlabs.io/docs/eleven-agents/integrate/overviewread 2026-09-05

The customer selects the language model that powers the agent from a supported list, or brings their own through documented custom LLM integrations with Cloudflare, Groq, SambaNova and Together AI, with LLM cascading for fallback and a list-LLMs endpoint. The platform is explicitly model-agnostic and supplies only the speech and turn-taking models itself.

Sourceelevenlabs.io/docs/eleven-agents/customization/llmread 2026-09-05

ElevenAgents offers a full REST and WebSocket API for the platform itself covering agents, conversations, tools, knowledge base, tests, phone numbers and workspace settings, native SDKs for Python, JavaScript, React, React Native, Swift and Kotlin, post-call webhooks, a CLI for managing agents as code, and a hosted MCP server that lets an external assistant create and update agents.

Sourceelevenlabs.io/docs/eleven-agents/api-reference/introductionread 2026-09-05

ElevenAgents ships a customer-facing test suite: automated tests with folders, invocations and a run-tests endpoint, conversation simulation including a streaming variant, Experiments for A/B testing configuration changes against live traffic, agent versioning, and a run-evaluation endpoint returning success criteria per conversation, all run against the customer's own agent.

Sourceelevenlabs.io/docs/eleven-agents/customization/agent-testingread 2026-09-05

The agent acts only through documented programmatic surfaces: client tools, webhook tools, code tools, MCP servers and system tools for call control. No browser control, virtual desktop or operation of software lacking a programmatic interface appears anywhere in the documentation.

Sourceelevenlabs.io/docs/eleven-agents/customization/toolsread 2026-09-05