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SPECIFICTION
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AgentOps vs Confident AI

AgentOps

agentops.ai

Confident AI

confident-ai.com

Side by side

FigureAgentOpsConfident AI
Price from$40/mo$200/mo
Free planYesYes
Free trial——
Open sourceYes—
WebYesYes
APIYesYes
Self-hostedYesYes
Plans published34
Spec score · LLM Observability Tools9.3 (#1)8.4 (#12)
ProductAgentOps describes itself as a developer platform for building AI agents and LLM apps, with observability for OpenAI, CrewAI, AutoGen, and 400+ LLMs and frameworks.Confident AI is an AI Quality platform that provides development evaluations and production observability for reliable AI applications.
Self-hostingThe repository documents running the full dashboard and API backend on a user's own machine, while the enterprise plan lists AWS, GCP and Azure self-hosting.Confident AI can be deployed in a customer's AWS, Azure, or GCP cloud via Docker and typically takes 1–2 weeks to set up.

Plans

AgentOps

  • BasicFree
  • Pro$40 a month
  • EnterprisePriced on request

AgentOps pricing →

Confident AI

  • FreeFree
  • Starter$200 a month
  • Team$2,000 a month
  • EnterprisePriced on request

Confident AI pricing →

In their own words

AgentOps

AgentOps has no write-up on Specifiction yet; its figures are above.

Visit agentops.ai

Confident AI

Confident AI is an AI quality platform for evaluating applications during development and monitoring them in production. Teams can experiment with prompts, models, and parameters, run automated regression evaluations in CI/CD, and assess results with more than 50 metrics. Production tracing records inputs, outputs, latency, tokens, and execution spans, while live alerts indicate declining quality. Red-team testing addresses safety vulnerabilities and adversarial attacks. The platform supports Python and TypeScript SDKs, OpenTelemetry, and more than 20 framework and gateway integrations. APIs cover prompt versioning, dataset creation, trace ingestion, project provisioning, and governance policies. It is available through web and API access, or can be self-hosted in AWS, Azure, or GCP using Docker; setup typically takes 1–2 weeks. The free plan includes two seats, one project, five weekly test runs, and 1 GB-month of trace spans. Paid plans start at $200 a month.

Visit confident-ai.com