New Relic
by CodeStream · Observability platform with a governed runtime for building AI agents
BenchRank score
Screenshots of New Relic
Homepage
Overview
New Relic is an observability platform whose Agentic Platform lets teams build, deploy and manage custom AI agents, from no-code automations to code-based multi-agent systems. Agents draw on live telemetry, logs, traces and alerts, answer natural-language queries, and push actions into IDEs, ITSM, CI/CD and chat tools. Every action runs under permissions, RBAC and audit trails.
- Best for
- Engineering and SRE teams wanting observability data plus AI agents that act on incidents
- Pricing
- Free tier with 100 GB/month ingest, then $0.40/GB ($0.60/GB on Data Plus), with full platform users from $10 to $418.80 per user per month depending on edition.
- Runs on
- CLI
Strengths and trade-offs
Strengths
- Free tier: 100 GB/month ingest and unlimited basic users
- 50+ capabilities, 780+ integrations, unlimited hosts included
- Agents read live telemetry, logs, traces and alerts
- Agent actions covered by RBAC, permissions and audit trails
Trade-offs
- Pro full platform users are $349/user/month, $418.80 if billed monthly
- Compute (CCU) tiers and all Enterprise pricing are contact-sales only
- Data beyond 100 GB is billed per GB, so cost tracks ingest volume
- Standard is capped at five full platform users
How New Relic markets itself
A structured read of the promise, proof and page design on New Relic’s captured homepage.
Homepage capture
“Agentic Platform”
- Angle: AI-native
- Hero: Illustration
Pricing
Published plans and prices from New Relic’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The New Relic pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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