Agentic Index

11x vs Topo (2026)

11x is the general purpose AI sales worker and Topo is the custom trained specialist. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

11x deploys Alice and Jordan as broadly capable digital employees. Topo trains its agent on your specific playbook and watches buying signals across LinkedIn, G2, and GitHub, with workspace pricing near 900 dollars a month for a thousand leads. Topo suits teams whose motion is too specific for a generic worker.

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. 11x and Topo are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 956 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose 11x if

  • You want a proven pattern deployed fast rather than a training period on your playbook.
  • Inbound and outbound coverage from one vendor simplifies the stack.
  • Brand strength matters for internal buy in on an SDR replacement decision.

Choose Topo if

  • Your ICP hides in developer and reviewer signals; GitHub and G2 monitoring is unusual and valuable.
  • Custom training on your messaging beats generic personalization for a technical audience.
  • Published workspace pricing near 900 dollars with lead volume attached makes cost per lead explicit.
At a glance 11x Topo
Category GTM / revenue agent GTM / revenue agent
Entry price Contact sales Solo $89/seat/mo (up to 2 seats, 1,000 credits a seat, free trial) · Team $129/seat/mo (from 3 seats) · Enterprise custom (from 10 seats)
Free / trial No published trial; a live demo and an embedded Julian call demonstration Free trial on Solo; Team and Enterprise through a conversation with sales.
Pricing confidence contact only public exact
Feature
1
11x
T
Topo
Action & orchestration

Integrations & Tool Calling

Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.

Full / Explicit Full / Explicit

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

Full / Explicit Partial

Triggers & Channel Coverage

How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools.

Full / Explicit Full / Explicit
Knowledge & context

Knowledge Grounding & RAG

Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.

Full / Explicit Full / Explicit

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

No / Not documented

Persistent conversation and campaign state plus self learning are documented; no first class memory feature or customer controllable memory store.

Partial
Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Partial

Human configured playbooks, sequence builder, and a consent guardrail on outbound calling are documented; no per action approval gate in an autonomous first product.

Full / Explicit

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Partial Partial

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Partial

Dashboards, activity feeds, transcripts, and structured interaction records document what the workers did; trace or audit tooling reconstructing why is not documented.

Partial

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

No / Not documented No / Not documented
Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

Full / Explicit Partial
Platform extensibility

Model Flexibility & Routing

Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.

No / Not documented No / Not documented

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Full / Explicit Partial

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.

Partial

Analytics, self optimizing messaging, and knowledge base rollback are documented; no customer facing testing, debugging, or evaluation product.

Partial
Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

No / Not documented Partial

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
1
11x
T
Topo

Entry price

Lowest public entry point

Contact sales Solo $89/seat/mo (up to 2 seats, 1,000 credits a seat, free trial) · Team $129/seat/mo (from 3 seats) · Enterprise custom (from 10 seats)

Pricing confidence

How public the numbers are

Contact only Public, exact

Billing

Primary billing axis

quoted; basis not published Per seat monthly subscription with a monthly credit allotment per seat; Enterprise custom

Variable cost

Workload / overage exposure

High variable cost Medium variable cost

Free tier / trial

Try before you buy

No free tier
No free tier

Buying motion

Self-serve vs sales call

Sales call Sales call

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