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AIOps Services is an operations and governance portal for AI products in production, built around services such as Live, Rail, Claw, and Pulse. It is not positioned as a replacement for a full APM platform. Instead, it helps individual developers and small teams fill the gaps after rapidly building AI products: continuous monitoring, incident triage, remediation suggestions, AI Agent guardrails, and external risk detection.
Live lets you start 24/7 monitoring simply by registering a public URL. It covers HTTP/HTTPS responses, response time, page rendering status, and external status references. When an issue is detected, it does more than send an alert: it also provides an initial AI triage, priority guidance, and remediation prompts that can be copied into tools such as Cursor, Claude, and ChatGPT. Its limitations are also clear: it does not access internal APIs or authenticated areas. Rail is an AI Agent guardrail delivered in MCP form, aimed at tools such as Claude, Cursor, and Codex. It validates and controls code changes, deletions, or other risky operations before they are executed, with designs such as fail-closed behavior, path traversal protection, risk scoring, approval queues, HMAC-signed webhooks, and tamper-resistant audit logs. Claw is more focused on governance for self-built Agents, covering policy-as-code, pre-execution validation, audit logs, and snapshot rollback. Pulse is used to monitor externally visible network risk signals.
Pricing follows a free-plus-subscription model: Free is £0/month, with 5 monitoring slots and 10 AI diagnostics per month; Starter is £39/month; Growth starts at £99/month and adds team sharing, multiple workspaces, and Read API; Scale at £299/month and Enterprise at £799/month provide higher quotas, MCP Viewer, Full API, and priority support. Paid AIOps Live plans include basic Rail and Claw capabilities. Onboarding is relatively simple: for Live, you register a domain; for Rail, you register an email address to obtain an API Key and then configure MCP.
Its main strength is a clear closed loop around AI development workflows: monitoring, alerts, diagnostics, remediation prompts, and Agent governance can be connected together. The MCP tool integration documentation is also detailed, lowering the barrier to adoption. The downsides are that monitoring depth is limited, mainly focusing on external checks of public URLs; AI diagnostics explicitly do not guarantee accuracy, and model details are not disclosed; we did not see self-hosting options, open-source status, customer case studies, or detailed SLA terms. It is suitable for indie developers, small teams, AI prototype products, and teams that need lightweight governance over AI Agent operations.
The text does not provide information on network accessibility from mainland China, payment availability, or local compliance. Payments are handled via Stripe Checkout, so users in China should test credit card support and network access in practice. If access or payment is restricted, alternatives to consider include UptimeRobot, Pingdom, Better Stack, Grafana Cloud, Sentry, Datadog, or a self-hosted OpenTelemetry/Grafana setup.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on aiops.services official site.
aiops.services is an Japan AI Apps provider. TG4G tracks its product information, an overall rating of 6.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach aiops.services directly.