Metoro
Kubernetes native observability with eBPF telemetry and an AI SRE agent, Guardian, that finds root cause and opens fix pull requests.
Metoro is an AI SRE for teams running on Kubernetes. It brings its own eBPF telemetry layer, installed as a DaemonSet through a single Helm command with no code changes, and its AI agents autonomously detect issues from live traffic, investigate alerts, verify deployments, identify root causes and open fix pull requests that engineers review like any teammate's. Its Guardian capability handles AI root cause and fixes, and the platform doubles as a Kubernetes native observability tool with unsampled eBPF capture of logs, metrics, traces and profiling. Metoro is backed by Y Combinator.
Vendor details
Canonical URL
https://metoro.io
Category
SRE / DevOps agent
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
eBPF telemetry, OTLP and Prometheus, code repository and deploy history, Slack, PagerDuty, webhooks and email.
Sources & related URLs
Research sources
Agentic Index coverage score
8.5 / 14 capabilities · 61%
| Integrations & Tool Calling | Full |
|---|---|
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Brings its own eBPF telemetry and integrates OTLP and Prometheus metrics and traces, code repository and deploy history, plus Slack, PagerDuty, webhooks and email, Metoro site 2026-07-22 Sourcemetoro.ioread 2026-07-22 |
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| Workflow Orchestration | Full |
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Autonomous full loop for Kubernetes: detects issues from live traffic, investigates alerts, verifies deployments, root causes and opens fix pull requests, Metoro site 2026-07-22 Sourcemetoro.ioread 2026-07-22 |
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| Knowledge Grounding & RAG | Full |
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Grounds investigation in its own eBPF telemetry pre correlated with Kubernetes identity plus deployment and code context, so the model starts with complete runtime evidence, Metoro site 2026-07-22 Sourcemetoro.ioread 2026-07-22 |
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| Human Oversight & Guardrails | Full |
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Remediation is delivered as a reviewable fix pull request rather than an autonomous action, a review and approve workflow that keeps humans in control, Metoro site 2026-07-22 Sourcemetoro.ioread 2026-07-22 |
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| Security, Identity & Governance | Partial |
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eBPF runtime visibility with in cluster kernel level collection and a stated security posture for Kubernetes; specific certifications and identity governance are not documented in retrieved sources, Metoro site 2026-07-22 Sourcemetoro.ioread 2026-07-22 |
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| Observability & Auditability | Full |
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A Kubernetes native observability platform in its own right with 100 percent unsampled eBPF capture of logs, metrics, traces, profiling and events plus custom dashboards, Metoro site 2026-07-22 Sourcemetoro.ioread 2026-07-22 |
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| Memory & State Persistence | Partial |
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Documents a learning system that recognizes recurring patterns and learns from past fixes; no distinct persistent memory architecture named, Metoro site 2026-07-22 Sourcemetoro.ioread 2026-07-22 |
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| Deployment & Data Residency | Partial |
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In cluster eBPF collector deployed as a DaemonSet via a single Helm install with a SaaS backend; self hosted or data residency options are not documented, Metoro site 2026-07-22 Sourcemetoro.ioread 2026-07-22 |
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| Prebuilt Agents, Templates & Packs | Partial |
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Ships several prebuilt Kubernetes capabilities including Guardian for root cause and fixes, deployment verification and alert investigation, though not a broad agent or template library, Metoro site 2026-07-22 Sourcemetoro.ioread 2026-07-22 |
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| Triggers & Channel Coverage | Full |
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Investigates every firing alert automatically and detects incidents from live traffic in real time, filtering noise before on call engages, Metoro site 2026-07-22 Sourcemetoro.ioread 2026-07-22 |
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| Model Flexibility & Routing | Unable to verify |
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Proprietary AI pipeline; no customer facing model choice or bring your own model routing documented, Metoro site 2026-07-22 Sourcemetoro.ioread 2026-07-22 |
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| APIs, SDKs & MCP Extensibility | Unable to verify |
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Ingests standard OTLP and Prometheus telemetry, but a public API, SDK or MCP extensibility surface is not documented in retrieved sources, Metoro site 2026-07-22 Sourcemetoro.ioread 2026-07-22 |
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| Testing, Debugging & Optimization | Partial |
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Deployment verification checks every rollout against production behavior to catch regressions, and container profiling adds optimization signal; not a dedicated agent evaluation harness, Metoro site 2026-07-22 Sourcemetoro.ioread 2026-07-22 |
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| Browser & Computer Use | Unable to verify |
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Operates through Kubernetes, eBPF and APIs rather than browser or computer interface control, Metoro site 2026-07-22 Sourcemetoro.ioread 2026-07-22 |
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The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Free tier available; paid pricing not fully public
What is public
A free tier is available with no per investigation metering; full paid pricing is not published.
Variable cost rationale
Free tier with no per investigation metering; paid tier pricing is not fully public, so cost at scale is not fully determinable from public sources.
Sales call required
Mixed (some tiers require a call)
Free / trial
Free tier
Key ambiguities
Paid tier list price and billing axis not public.
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Alternatives to Metoro
The closest documented capability profiles to Metoro among SRE and DevOps agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Anyshift8.5 / 14Adds documented APIs, SDKs & MCP Extensibility
- Phoebe7.5 / 14A lighter documented profile than Metoro
- Harness8.0 / 14Adds documented APIs, SDKs & MCP Extensibility
- Parity7.0 / 14A lighter documented profile than Metoro
- SRE.ai8.0 / 14Adds documented APIs, SDKs & MCP Extensibility
- Better Stack8.5 / 14Adds documented APIs, SDKs & MCP Extensibility
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded