Agentic Index
Agent.ai vs AgentX (2026)
Agent.ai and AgentX both offer accessible on ramps to using and building AI agents, with different centers: Agent.ai is the agent network and marketplace, free to start with a hundred credits and roughly one credit per task, letting you run many prebuilt professional agents cheaply, while AgentX is a no code multi agent builder, free tier with one active agent, two hundred message interactions, and knowledge sources, with credit based paid plans spanning solo, white label agency, managed, and enterprise, exact prices quoted. Running existing agents cheaply favors Agent.ai; building and white labeling your own multi agent deployments favors AgentX.
| At a glance | Agent.ai | AgentX |
|---|---|---|
| Category | Agent builder | Agent builder |
| Entry price | Free to start (100 credits), ~1 credit per task | Free tier; paid plans credit based, prices not public |
| Free / trial | — | Free tier: one agent, 200 message interactions, 50 website and 50 document knowledge sources. |
| Pricing confidence | public exact | public partial |
| Feature |
A
Agent.ai
|
A
AgentX
|
|---|---|---|
| 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. |
Partial | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Partial | Full / Explicit |
|
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. |
Partial | 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. |
Partial | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
No / Not documented | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
No / Not documented | Partial |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
No / Not documented | Partial |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
No / 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 | Partial |
| 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 | Full / Explicit |
| 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. |
Full / Explicit | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | 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 | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing |
A
Agent.ai
|
A
AgentX
|
|---|---|---|
|
Entry price Lowest public entry point |
Free to start (100 credits), ~1 credit per task | Free tier; paid plans credit based, prices not public |
|
Pricing confidence How public the numbers are |
Public — exact | Public — partial |
|
Billing Primary billing axis |
— | Plan tier plus consumable credits by agent activity and model. |
|
Variable cost Workload / overage exposure |
Medium variable cost | High variable cost |
|
Free tier / trial Try before you buy |
No free tier
|
Free tier
|
|
Buying motion Self-serve vs sales call |
— | Self-serve |
Choose Agent.ai if
- Using prebuilt professional agents solves your need without building.
- Credit per task pricing at this scale is nearly free to explore.
- A marketplace of agents fits your discovery style.
Choose AgentX if
- Building custom multi agent teams is the actual goal.
- White label agency plans fit your client business.
- Knowledge grounded agents on your content are the requirement.