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Metoro logo

Metoro

Approaching Agent-Ready
Agent-Ready SaaS Index · metoro.io · scored 2026-05-09 · rubric v2.0
Score 66 / 100
Application Performance Monitoring Tools
Self-serve checkout
Public API

Metoro scores 66/100 on xpay's Agent-Ready Index v2: partial pricing visibility; self-serve checkout is available; usage-based / per-token pricing is published; a free entry path exists.

See Metoro pricing summaryLive pricing page
Pricing
Metoro pricing
As of 2026-05-09 · metoro.io/
Hobby
Free
Free forever
1 cluster
1 user
2 nodes
200GB ingested / month
Scale
$20/mo
Unlimited clusters
Unlimited users
Unlimited nodes
100GB ingested per node / month
Slack support
Score breakdown · rubric v2.0
How Metoro scores on the agent-ready dimensions

Public pricing visibility

15 / 15

Self-serve checkout

15 / 15

Public API + docs

0 / 20

Usage-based / metered pricing

17 / 20

Free entry path

7 / 7

No sales call required

7 / 7

Card / wallet / x402 payment

5 / 6

Machine-readable bonus (MCP / OpenAPI)

0 / 10

Total
66 / 100
Effective pricing
What it actually costs at typical scale
1 node, 50GB data transfer
$20/mo
· Using Scale tier· Data transfer within included 100GB
Confidence: high
5 nodes, 200GB data transfer per node
$120/mo
· Using Scale tier· Each node exceeds free 100GB by 100GB
Confidence: high
Agent purchase verdict
Can an autonomous agent transact here?
Agent-ready
LLM score: 70/100

Can create account

Yes

Can enter payment method

Yes

Can upgrade plan

Yes

Can buy more usage

Yes

Can cancel online

Unknown

Payment methods

card

Human approval recommended

No

Pricing transparency

full

Purchase motion

self_serve

Demo required

No

Quote required

No

Annual commit required

No

Auto-renewal mentioned

No

Cancellation policy visible

No

Refund policy visible

No

Invoice payment available

No

Purchase orders supported

No

MSA required

No

DPA available

No

Security review required

No

Trial

Available, no card

Competitive intel
Positioning & ecosystem
Headline

“Kubernetes Observability with an AI SRE Agent”

Buyer persona

mid market
enterprise
developer

Integrations mentioned
Slack
Agent purchase simulation
Six-step check: can an agent actually buy from Metoro?
✓

Discover price

✓

Select a plan

✗

Pay per task

✓

Avoid a sales call

✗

API docs without auth

✗

Estimate cost upfront

Analysis
Pros and cons for AI agents
Observational summary written by xpay from the signals captured on 2026-05-06. Not a review of the product — only of its current pricing posture for agent buyers.
✓ For an AI agent
  • Pricing is publicly visible on an indexable page — agents can read tiers without scraping past auth.
  • Every advertised tier is self-serve; no tier requires scheduling a call.
◐ Opportunities for the provider
  • No per-unit price was advertised, so an agent has no way to estimate the cost of a single task.
  • API documentation is gated or absent; an agent cannot inspect the integration surface without authentication.
  • PPU requires account creation and an issued API key; a fully unauthenticated agent purchase is not yet supported.
  • No /.well-known/ai-pricing.json or equivalent machine-readable pricing manifest is published — agents must rely on HTML scraping.
One-line fix
How Metoro could lift its score

Expose an anonymous-purchase path (no account required) for the smallest paid tier — even a $1 PAYG entry.

pricing_visible

true

headline_phrasing

Kubernetes Observability with an AI SRE Agent — Metoro collects logs, metrics, traces, profiling, Kubernetes events, and deployment context from your cluster with eBPF.

tier_count

1

lowest_paid_entry_usd

null

free_tier

false

free_tier_terms

null

per_unit_price

$0.20 / GB

annual_required

false

self_serve_paid_tiers

1

sales_only_tiers

0

public_api_docs_url

https://metoro.io/docs/getting-started/introduction

api_docs_auth_walled

false

ai_pricing_json_present

false

agents_txt_present

false

anonymous_purchase_path

false

per_unit_classification

{"unit_class":"data_volume","confidence":"low","agent_task_price_forecastable":"partial","rejected_reason":null,"evidence_text":"$0.20 / GB"}

usage_headline_present

false

custom_tier_present

true

agent_friendly

{"ai_pricing_json":false,"agents_txt":false,"llms_txt":false,"sitemap_xml":true,"mcp_server_card":false,"agent_skills_index":false,"x402_supported":false}

View raw extracted page text →
Page heading: Kubernetes Observability with an AI SRE Agent
CTAs (40): Backed by · Product · Kubernetes monitoringAll-in-one Kubernetes observability · Kubernetes APMDashboards, service maps, and traces · AI Agent MonitoringNEWKernel-level agent telemetry · Infrastructure MonitoringMonitor nodes and clusters · Log ManagementCollect and analyze logs · Container ProfilingDeep performance insights · Custom DashboardsMetrics and visualizations · Cost MonitoringAllocate spend and find waste · Uptime MonitoringHealth checks & status pages · Cron Job MonitoringCatch missed and failed runs
Price tokens (2): $20 · $0.20 / GB on excess over
Backed byProductKubernetes monitoringKubernetes monitoringAll-in-one Kubernetes observabilityKubernetes monitoring capabilitiesKubernetes APMDashboards, service maps, and tracesAI Agent MonitoringNEWKernel-level agent telemetryInfrastructure MonitoringMonitor nodes and clustersLog ManagementCollect and analyze logsContainer ProfilingDeep performance insightsCustom DashboardsMetrics and visualizationsCost MonitoringAllocate spend and find wasteUptime MonitoringHealth checks & status pagesCron Job MonitoringCatch missed and failed runsAI SREAI SRENEWAutonomous SRE agent for KubernetesAI SRE capabilitiesAutonomous Issue Detection and RCAAutomatically detect and resolve incidentsDeployment VerificationNEWAI-verified deploymentsAI Alert InvestigationInvestigate every alert with AIDeployment OptionsMetoro CloudFully managed by usMetoro BYOCHosted by you, managed by usMetoro On-PremAirgapped or not, complete isolationDemoPricingDocsCompanyBlogComparisonsKnowledge BaseCareersLog InLSign upSNewGuardian · AI RCA & Fixes→Kubernetes Observability with an AI SRE AgentMetoro collects logs, metrics, traces, profiling, Kubernetes events, and deployment context from your cluster with eBPF.Metoro's AI agents use that context to detect production issues, investigate alerts, verify deployments, identify root causes, and open fix PRs.One Helm install. No code changes. Operational in under 5 minutes.Sign upSBook a demoDNavigate⌘KMetoro OverviewDetection -> Fix. Automated.Trusted by hundreds of the…
You work at Metoro?
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Get the breakdown of every signal we measured, the one-line fix, and how your peers in Application Performance Monitoring Tools stack up.

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Are you Metoro? Something off in this listing?
Agent-Ready Spec
Metoro
Approaching Agent-Ready

66

/ 100 (rubric v2.0)
Category

Application Performance Monitoring Tools

Pricing model

Not advertised

Tier count

1

Free tier

No

Lowest paid entry

Sales-led

Per-unit price

$0.20 / GB

Self-serve / sales-only tiers

1 / 0

Public API docs

Public

Anonymous purchase path

No

Machine-readable pricing

Not published

Last refreshed

2026-05-09

Pricing intelligenceInsights extracted from metoro.io/
Pricing model

Tier-based subscription

Agent-purchase verdict
Agent-ready
70/100 · v2.1
Canonical answer

Metoro pricing starts at $0/mo for the Hobby free plan; paid plans begin at $20 per node per month. Billed monthly.

Cheapest entry

Free plan (Free)

Actions
Open live pricing page
Verdict reflects Approaching Agent-Ready status under rubric v2.0. Source observed at https://metoro.io/.
Agent-friendly features1 of 7 present
Discovery files and protocols
Side-channel signals — informational, not part of the score. Each protocol is independent; adoption signals the publisher is thinking about agent buyers.

ai-pricing.json

agents.txt

llms.txt

sitemap.xml

MCP Server Card

Agent Skills

x402 / MPP

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CompanyAgentically Inc. (d/b/a xpay✦)1875 Mission St, Ste 103San Francisco, CA 94103, United Stateslegal@xpay.sh · privacy@xpay.sh
or ask your AI app
Company
About xpayAgency PartnersGitHubDiscordllms.txt
DevelopersDocumentationAPI ReferenceSDKs & LibrariesQuickstart GuideOpenAPI Spec
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