AgentX provides an enterprise platform to orchestrate, evaluate via CI/CD pipelines, trace across frameworks, and deploy AI agents to production channels.

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AgentX

AgentX Product Information

What is AgentX?

AgentX is an enterprise platform for building, evaluating, tracing, and deploying AI agent workforces. It targets solo builders, internal teams, agencies, and operations leaders managing the full agent lifecycle from orchestration to production monitoring. Access begins with a free tier limited to 200 credits, while deployment options include cloud or on-premises environments.

What are the features of AgentX?

  • Multi-agent orchestration
    Drag-and-drop builder where an orchestrator agent and workforce members operate with defined roles, instructions, models, memory, tools, branching logic, and human handoff.
  • Pre-deployment evaluation
    Runs agents against test sets in a CI/CD pipeline to track regressions, hallucinations, and broken tool calls before release.
  • Continuous runtime monitoring
    Uses LLM-as-judge scoring 24/7 to evaluate live traffic for prompt drift, dataset drift, rising hallucination rates, and latency or cost spikes.
  • Framework-agnostic tracing
    Instruments agents built in LangChain, CrewAI, OpenAI Agents SDK, Anthropic, or Google ADK so every run streams into one trace pipeline.
  • One-click deployment
    Publishes versioned agents to API, Slack, web widget, email, or voice channels with one-click rollback capability.
  • Enterprise security controls
    Provides SOC 2 controls including audit trails, role-based access control, encryption in transit and at rest, and human-in-the-loop checkpoints.

What are the use cases of AgentX?

  • Document processing automation
    Extracts, validates, and posts invoices, contracts, orders, and forms directly to an ERP system.
  • Inbound customer operations
    Handles or routes inbound emails, tickets, and status updates without human touch, with the vendor claiming 60–80% automatic resolution.
  • Agency white-label delivery
    Deploys agents under an agency's own brand using dedicated client workspaces so end clients do not see the AgentX branding.

AgentX Pricing Information:

  • Free
    Free to start with 200 credits; no credit card required.
  • Solo Builder
    $49 per month for production use; no per-seat pricing.
  • Professional
    $199 per month; includes white-label deployment, dedicated client workspaces, and priority support.
  • Business
    $299 per month; includes white-label deployment, dedicated client workspaces, and priority support.
  • Custom
    Scoped per workflow; includes cloud or on-prem deployment, a full evaluation program, and vendor-operated production management.

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AgentX Related Other Categories

AgentX Traffic Analysis

Website traffic estimates for agentx.so. Visits are not unique users or product usage.

💡 Insights

🌱
Emerging Tool
10K-100K monthly visits. Niche or new tool with potential unique value.
⚠️
Slight Decline
Traffic has slightly decreased recently.
👍
Good Experience
Bounce rate of 37%. Users are willing to explore features.
  • Monthly Visits

    40.63K

  • Bounce Rate

    36.86%

  • Pages Per Visit

    1.88

  • Visit Duration

    00:00:22

  • Global Rank

    779166

  • Country Rank

    574954

Visits Over Time

Traffic Sources

Direct40.26%
Search Organic33.11%
Referrals10.60%
Social Organic5.59%
Display Ads2.69%
Mail2.66%
Affiliate1.50%
Gen Ai1.50%
Search Paid1.47%
Social Paid0.63%

Top Keywords

1
agentx
CPC$2.99
700Traffic
2
anthropic claude
CPC$1.83
180Traffic
3
fde是什么
110Traffic
4
free chatgpt
CPC$0.41
100Traffic
5
multi agent ui
100Traffic

Top Regions

RegionPercentage
United States
United States
23.19%
Indonesia
Indonesia
6.92%
India
India
6.82%
Germany
Germany
6.35%
Vietnam
Vietnam
5.66%
Low
High

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AgentX FAQ

Do I need to rebuild my existing agents on AgentX to use its observability features?

No. The trace pipeline is framework-agnostic; you can keep agents in LangChain, CrewAI, OpenAI Agents SDK, Anthropic, or Google ADK and add AgentX instrumentation to stream runs into the same evaluation and monitoring views.

How does the platform handle multi-step and multi-agent evaluations?

Evaluation occurs at both the step level (checking each tool call, retrieval, and hand-off) and the outcome level (scoring final task completion), using multi-run scoring that repeats each case several times to measure consistency.

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