vendor · observability
AgentOps vs Arize AI
45 fields both were evaluated on, 22 of them different — including where one discloses something the other does not. Every value links to the document it came from. 23 further fields are disclosed by neither and are listed at the end rather than tabled.
Assurance
| Field | AgentOps | Arize AI |
|---|---|---|
| Audit trail· | “Keep a full data trail of logs, errors, and prompt injection attacks from prototype to production”www.agentops.ai · checked Aug 1, 2026 | “Trace everything from the team who founded OpenInference, the leading open standard for GenAI observability.”arize.com · checked Aug 8, 2026 |
| Explainability· | “Visualize Visually track events such as LLM calls, tools, and multi-agent interactions. Time Travel Debugging Rewind and replay agent runs with point in time precision.”www.agentops.ai · checked Aug 1, 2026 | no public information arize.com · checked Aug 8, 2026 |
| Runtime governance· | no public information arize.com · checked Aug 8, 2026 | |
| Permission scopes· | States internal risk is mitigated through a least-privilege access policy. “internal risks are mitigated through a least-privileges policy, security quality gates and other safeguards”arize.com · checked Sep 5, 2026 | |
| Compliance certifications· | “Arize supports flexible deployment options and is certified to leading security and compliance standards, including SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, and GDPR.”arize.com · checked Aug 8, 2026 | |
| Regulatory alignment· | “Arize supports flexible deployment options and is certified to leading security and compliance standards, including SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, and GDPR.”arize.com · checked Aug 8, 2026 | |
| Evaluation coverage· | no public information www.agentops.ai · checked Aug 1, 2026 | “The most comprehensive eval framework in the market. Run span, trace, and session evals that run at scale.”arize.com · checked Aug 8, 2026 |
| Service type· | “The leading developer platform for building AI agents and LLM apps. Agent observability for OpenAI, CrewAI, Autogen, and 400+ LLMs and frameworks.”www.agentops.ai · checked Aug 1, 2026 | “Agent Observability, Evaluation & Improvement Platform | Arize AI”arize.com · checked Aug 8, 2026 |
| Underwriting backing· | no public information arize.com · checked Aug 8, 2026 | |
| Client types· | no public information www.agentops.ai · checked Aug 1, 2026 |
Safety
| Field | AgentOps | Arize AI |
|---|---|---|
| Red teaming· | no public information www.agentops.ai · checked Aug 1, 2026 | Arize runs a year-round public bug bounty program via Yogosha “We host a year-round bug bounty program facilitated by Yogosha.”arize.com · checked Aug 29, 2026 |
| Safety policy· | no public information www.agentops.ai · checked Aug 1, 2026 | |
| Incident reporting· | no public information www.agentops.ai · checked Aug 1, 2026 | Publishes a vulnerability-disclosure channel ("Report an Issue") for responsible disclosure of security issues. “committed to maintaining a secure platform and appreciate responsible disclosure of security issues”arize.com · checked Sep 5, 2026 |
| Data handling· | no public information www.agentops.ai · checked Aug 1, 2026 | “Your data stays under your control. Arize supports flexible deployment options and is certified to leading security and compliance standards, including SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, and GDPR.”arize.com · checked Aug 8, 2026 |
Practicality
| Field | AgentOps | Arize AI |
|---|---|---|
| Integrations· | no public information www.agentops.ai · checked Aug 1, 2026 | “Arize integrates with 40+ models, frameworks, and AI tools , including OpenAI, Anthropic, Google, Amazon Bedrock, LangGraph, LangChain, LlamaIndex, CrewAI, OpenAI Agents SDK, DSPy, and more.”arize.com · checked Aug 8, 2026 |
| Supported regions· | no public information www.agentops.ai · checked Aug 1, 2026 | “works across Google Cloud, AWS, Azure, and self-hosted environments.”arize.com · checked Aug 8, 2026 |
Ecosystem
| Field | AgentOps | Arize AI |
|---|---|---|
| Protocols supported· | no public information www.agentops.ai · checked Aug 1, 2026 | “Built on OpenInference and OpenTelemetry standards, Arize works across Google Cloud, AWS, Azure, and self-hosted environments.”arize.com · checked Aug 8, 2026 |
| API access· | no public information arize.com · checked Aug 8, 2026 |
Impact
| Field | AgentOps | Arize AI |
|---|---|---|
| User base· | “4,000+ Powering thousands of engineers building reliable agents”www.agentops.ai · checked Aug 1, 2026 | Vendor-published aggregate volumes: 1 Trillion spans processed, 1 Billion evals per year, 5 Million downloads per month. NOTE: the earlier capture read "1 Billion evals per month" and "1 Trillion spans per month"; the vendor now states evals per YEAR and gives no period for spans. The prior stored value overstated the eval figure twelvefold. “Alyx 1 Trillion spans processed 1 Billion evals per year 5 Million downloads per month”arize.com · checked Aug 18, 2026 |
| Deployment scale· | “Powering thousands of engineers building reliable agents”www.agentops.ai · checked Aug 1, 2026 | no public information arize.com · checked Aug 18, 2026 |
| Target sectors· | “Deploying your agents to production? We're here to help.”www.agentops.ai · checked Aug 1, 2026 | “Teams use Arize to understand how their AI agents and applications behave, measure quality with evaluations, monitor production performance, and continuously improve prompts, models, and workflows.”arize.com · checked Aug 8, 2026 |
| High-risk domains· | no public information www.agentops.ai · checked Aug 1, 2026 | “Teams use Arize to understand how their AI agents and applications behave, measure quality with evaluations, monitor production performance, and continuously improve prompts, models, and workflows.”arize.com · checked Aug 8, 2026 |
Disclosed by neither
Both AgentOps and Arize AI publish nothing on these 23 fields. That is a finding about the category rather than a difference between them, so it is recorded here instead of as 23 identical table rows. Each is shown with its source check on the individual profiles.
- Documented incidents
- Pricing model
- Price point
- Availability
- Deployment options
- Support model
- Open source
- Marketplace presence
- Safety evaluations
- Usage restrictions
- Model or system card
- Third-party evaluations
- Insurance available
- Insurance carriers
- Coverage limits
- Indemnification
- Liability cap
- Tamper-evident log
- Outcome-based pricing
- Settlement mechanism
- Dispute process
- SLA terms
- Regulatory status
Questions
- How do AgentOps and Arize AI compare on red teaming?
- AgentOps: no public information disclosed. Arize AI: Arize runs a year-round public bug bounty program via Yogosha.
- How do AgentOps and Arize AI compare on incident reporting?
- AgentOps: no public information disclosed. Arize AI: Publishes a vulnerability-disclosure channel ("Report an Issue") for responsible disclosure of security issues..