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Rank #4 of 6 in Observability & Monitoring

New Relic logo

New Relic

Built-in AI assistant

New Relic, Inc. · commercial

newrelic.com ↗Try it →
PA Score29/100AGENT-READY36/100BUILT-IN AI62/100API9/100
MCP✓CLI~API✓
★ 147▲ 22/yrnpm 894.3k/wkpypi 866.9k/wk★ ±0npm/wk -421.1kpypi/wk +2.3k
ArenasObservability & Monitoring#4/6

Access

Open app ↗API docs ↗CLI docs ↗MCP docs ↗

Install

brewbrew install newrelic-cli

Compare head-to-head

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Showcase

New Relic homepage screenshot
homepage · captured Sep 2026 · view live ↗
New Relic docs screenshot
docs · captured Sep 2026 · view live ↗

Try itExperimental

See what an agent can do with New Relic before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; the live MCP handshake runs real requests from our edge, right now — including, where the server allows it, one real read-only tool call (bring your own key for auth-gated servers); sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).

$newrelic versionrecorded session — replayed, not live
recorded 2026-09-05 · exit 0 · captured verbatim by our probe harness, secrets redacted

Verified integrations

Connections to other tracked products — hover a chip for the verbatim evidence quote behind it.

Better Stack logoBetter StackIncident Management & On-callincident.io logoincident.ioIncident Management & On-callJitsu logoJitsuCustomer Data Platforms

By theme — the product's score on each story themeBy theme

Agenticness — how well agents can access and operate the productAgenticnessevidence →

How well agents can access and operate the product

37.4/100

Ai assist — stories about ai assist in this arenaAi assistevidence →

Stories about ai assist in this arena

58.0/100

Alerting slos — stories about alerting slos in this arenaAlerting slosevidence →

Stories about alerting slos in this arena

31.3/100

Automation depth — how much of the product can run unattendedAutomation depthevidence →

How much of the product can run unattended

33.8/100

Cost sampling — stories about cost sampling in this arenaCost samplingevidence →

Stories about cost sampling in this arena

10.0/100

Dashboards as code — stories about dashboards as code in this arenaDashboards as codeevidence →

Stories about dashboards as code in this arena

34.8/100

Deployment openness — stories about deployment openness in this arenaDeployment opennessevidence →

Stories about deployment openness in this arena

0.0/100

Incident response — stories about incident response in this arenaIncident responseevidence →

Stories about incident response in this arena

27.0/100

Openness — open source, data portability, and self-hosting storiesOpennessevidence →

Open source, data portability, and self-hosting stories

11.4/100

Otel standards — stories about otel standards in this arenaOtel standardsevidence →

Stories about otel standards in this arena

31.2/100

Privacy posture — data-handling and privacy storiesPrivacy postureevidence →

Data-handling and privacy stories

0.0/100

Query analytics — stories about query analytics in this arenaQuery analyticsevidence →

Stories about query analytics in this arena

43.7/100

Telemetry unified — stories about telemetry unified in this arenaTelemetry unifiedevidence →

Stories about telemetry unified in this arena

70.0/100

Story verdicts — every judged story with its evidenceStory verdicts

What’s free: 1 free · 0 paid · 0 enterprise · 31 not stated in evidence

?

Sorted by importance (agentic first) (high → low) · 54/54 stories · click a row’s chevron for the rationale and evidence

Connect an agent via an official MCP server G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full8/10T

Drive the product through a documented public API G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full8/10T

Delegate tasks to a built-in AI assistant inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full7/10C

Plug MCP servers into this product so it can use their tools G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3none0/10

Operate the product with natural-language commands G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10T

Build against official SDKs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full7/10T

Get AI-generated insights and suggestions from my data inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full7/10C

Run the product headlessly / in CI for automation G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial6/10T

Use an official CLI G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial6/10T

Explore an interactive API reference with runnable examples G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial5/10T

Set up automations that run autonomously in the background G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial4/10C

Download a machine-readable API spec (OpenAPI or equivalent) G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Issue scoped/least-privilege API credentials for an agent G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Point an agent at llms.txt or agent-oriented docs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Rely on versioned APIs with a documented deprecation policy G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Subscribe to events via webhooks G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Test against a sandbox environment without touching production data G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness1noneuntestednone yet

Analyze telemetry ad hoc with a documented query language C

Query language

developerQuery analytics — stories about query analytics in this arenaQuery analytics3full9/10C

Have an external agent query metrics, logs, and traces through documented APIs to debug production C

Agent integration

ai-native userAi assist — stories about ai assist in this arenaAi assist3full9/10T

Collect metrics, logs, and traces in one platform and pivot between them with shared context C

Signals

sreTelemetry unified — stories about telemetry unified in this arenaTelemetry unified3full7/10X

Define rules that trigger actions automatically on events G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth3full7/10C

Send telemetry directly over OTLP with first-class OpenTelemetry support C

Otel

developerOtel standards — stories about otel standards in this arenaOtel standards3partial6/10C

Alert on any telemetry signal with routing, grouping, and silencing of notifications C

Alerting

sreAlerting slos — stories about alerting slos in this arenaAlerting slos3partial5/10C

Define dashboards and alerts as code (JSON models, Terraform, or API) and provision them repeatably C

As code

developerDashboards as code — stories about dashboards as code in this arenaDashboards as code3partial5/10C

Have the platform's AI investigate an alert or error and propose a probable root cause C

Ai investigation

ai-native userAi assist — stories about ai assist in this arenaAi assist3partial5/10C

Export all of my data in open formats and leave G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3partial3/10X

See what my observability spend is, attribute it to teams or services, and catch usage spikes before the bill C

Cost

sreCost sampling — stories about cost sampling in this arenaCost sampling3none0/10

Self-host the core product G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3none0/10

Prevent my data from being used to train AI models G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture3noneuntestednone yet

Ask questions of my telemetry in natural language and get a real query or chart back C

Ai querying

ai-native userAi assist — stories about ai assist in this arenaAi assist2full8/10C

Define SLOs with error budgets and burn-rate alerts C

Slos

sreAlerting slos — stories about alerting slos in this arenaAlerting slos2full8/10C

Build shareable dashboards with rich visualization types and template variables C

Dashboards

sreDashboards as code — stories about dashboards as code in this arenaDashboards as code2partial7/10C

Instrument hosts, containers, Kubernetes, and cloud services through vendor-maintained agents and integrations C

Instrumentation

sreTelemetry unified — stories about telemetry unified in this arenaTelemetry unified2full7/10X

Jump from a trace span to its correlated logs and metrics to debug a request end to end C

Correlation

developerTelemetry unified — stories about telemetry unified in this arenaTelemetry unified2full7/10C

Correlate regressions with deploys and configuration changes via release or change tracking C

Change tracking

developerIncident response — stories about incident response in this arenaIncident response2partial6/10C

Do everything through the API that I can do in the UI G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2partial5/10T

Get AI-generated summaries of incidents and alert context for responders C

Ai investigation

ai-native userAi assist — stories about ai assist in this arenaAi assist2partial5/10C

Perform bulk operations across many items at once G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2partial5/10C

Control trace/log sampling and retention tiers to manage data volume deliberately C

Sampling

developerCost sampling — stories about cost sampling in this arenaCost sampling2partialfree4/10X

Instrument once with open standards and switch backends without re-instrumenting my code C

Otel

sreOtel standards — stories about otel standards in this arenaOtel standards2partial4/10C

Declare and track incidents with timelines, on-call schedules, and escalation policies C

Incidents

sreIncident response — stories about incident response in this arenaIncident response2partial3/10C

Group and filter by high-cardinality fields (user id, request id) without pre-aggregating or defining indexes first C

Analysis

developerQuery analytics — stories about query analytics in this arenaQuery analytics2partial3/10X

Choose where my data is stored (region/residency) G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2none0/10

Opt out of telemetry and usage tracking G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2none0/10

Point alert notifications at webhooks that trigger automated remediation or agents G

Alert automation

ai-native userAlerting slos — stories about alerting slos in this arenaAlerting slos2none0/10

Read the product's source under an open license G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2none0/10

Run the full observability stack self-hosted in production with documented architecture and upgrade path G

Self host

sreDeployment openness — stories about deployment openness in this arenaDeployment openness2none0/10

Schedule recurring jobs or workflows G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2none0/10

See application errors grouped into issues with stack traces, release tracking, and regression detection C

Errors

developerQuery analytics — stories about query analytics in this arenaQuery analytics2none0/10

Control data retention and deletion G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Predict costs from transparent published per-signal pricing without talking to sales G

Cost

sreCost sampling — stories about cost sampling in this arenaCost sampling1disputed4/10D

Enable anomaly or outlier detection that surfaces problems without hand-written thresholds C

Alerting

sreAlerting slos — stories about alerting slos in this arenaAlerting slos1none0/10

Spin up a local or dev instance of the platform to test instrumentation and dashboards C

Local dev

developerDeployment openness — stories about deployment openness in this arenaDeployment openness1none0/10

Version, review, and roll back my automations G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth1noneuntestednone yet

Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 39 stories with headroom

What would move New Relic’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.

  1. Agenticness — how well agents can access and operate the productPlug MCP servers into this product so it can use their tools

    nonemoves agent-readyimpact 45

    Evidence shows New Relic ships an official MCP server so external AI tools can connect to New Relic's data (new-relic-docs-11, new-relic-docs-22, new-relic-probe-3) — this is the reverse direction (New Relic as MCP server, not MCP client).

  2. Cost sampling — stories about cost sampling in this arenaSee what my observability spend is, attribute it to teams or services, and catch usage spikes before the bill

    nonemoves PA Scoreimpact 30

    There is no evidence of a New Relic feature for attributing observability ingest/spend to specific teams or services, nor of proactive spend/usage-spike alerting on New Relic's own billing (the closest hit, new-relic-docs-15, is about monitoring customers' cloud/K8s spend, not New Relic's own consumption).

  3. Openness — open source, data portability, and self-hosting storiesSelf-host the core product

    nonemoves PA Scoreimpact 30

    New Relic is documented throughout as a SaaS platform (agents forwarding data to New Relic's cloud, hosted dashboards, cloud-based NRQL/NerdGraph APIs) with no mention of a self-hostable core product.

  4. Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models

    nonemoves PA Scoreimpact 30

    Missing: any privacy policy, data processing agreement, or opt-out mechanism specifically regarding AI training use of customer data.

  5. Agenticness — how well agents can access and operate the productPoint an agent at llms.txt or agent-oriented docs

    nonemoves agent-readyimpact 30

    Missing: an llms.txt file, any agent-oriented/markdown docs format, or evidence of AI agents successfully consuming New Relic docs directly.

  6. Agenticness — how well agents can access and operate the productIssue scoped/least-privilege API credentials for an agent

    nonemoves agent-readyimpact 30

    Missing: documentation of scoped API key creation, least-privilege permission models for agent credentials, or agent-specific token management.

  7. Agenticness — how well agents can access and operate the productSubscribe to events via webhooks

    nonemoves agent-readyimpact 30

    Missing: any documentation of a webhooks feature, webhook configuration API, or event subscription endpoint.

  8. Agenticness — how well agents can access and operate the productDownload a machine-readable API spec (OpenAPI or equivalent)

    nonemoves API qualityimpact 30

    New Relic's primary API is NerdGraph (GraphQL), and explicit probes show no OpenAPI/swagger spec is served at any standard path (404s), with no other evidence of a downloadable machine-readable spec.

Showing the top 8 of 39 — every none/partial verdict in the story verdicts table is headroom.

Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.

Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map9 surfaces · 33 covered stories

Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.

docs26 stories

GitHub README8 stories

Whats new docs8 stories

docs.newrelic.com7 stories

Hacker News6 stories

OpenAPI spec4 stories

Pricing docs2 stories

llms.txt1 story

newrelic.com1 story

Probe proofs — replayable recordings from the probe harnessProbe proofs

Replayable recordings from our probe harness — see the Prove-It protocol to submit one.

$newrelic versionreproduced
$ newrelic version
newrelic version 0.113.10
proves: Use an official CLIrecorded 2026-09-05
$curl -si -X POST https://mcp.newrelic.com/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'reproduced
$ curl -si -X POST https://mcp.newrelic.com/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'
HTTP/2 401

date: Sat, 05 Sep 2026 01:11:30 GMT

content-type: application/json

content-length: 458

server: cloudflare

www-authenticate: Bearer realm="New Relic MCP", resource_metadata="https://mcp.newrelic.com/.well-known/oauth-protected-resource", scope="observability:read offline offline_access"

x-envoy-upstream-service-time: 5

cf-cache-status: DYNAMIC

cf-ray: a3615c3cede915cc-SJC

{"error":"unauthorized","error_description":"Authentication required: provide either 'api-[redacted]' header with New Relic API [redacted] or '[redacted] <[redacted]>' header","authentication_options":{"api_[redacted]":{"description":"Traditional New Relic API [redacted]","header":"api-[redacted]","format":"NRAK-..."},"oauth2":{"description":"OAuth 2.0 Bearer [redacted]","header":"Authorization","format":"Bearer <[redacted]>","resource_url":"https://mcp.newrelic.com/auth/resource-metadata"}}}
proves: Connect an agent via an official MCP serverrecorded 2026-09-05

Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence

5 of 18 testable claims verified · 2 contradicted → integrity 6/100

26 distinct capability claims found in New Relic’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.

5

Verified

11

Unverified

2

Contradicted

16

Undersold

Verified (8)
Unverified (15)
Contradicted (2)
Undersold (16)
Claims outside our story set (4)

Real capability claims found in New Relic’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.

  • “Instant full-text search across ingested logs”

    source ↗

  • “Entity search across all linked New Relic accounts”

    source ↗

  • “Automatic control of behavior and token usage across an AI stack”

    source ↗

  • “Synthetic monitoring simulates end-user activity and API calls from global locations”

    source ↗
Suggest a story for these →

Business model

free-tiersubscription-per-seatusage-based

Usage-based pricing: pay per GB of data ingested plus per full-platform user seat; perpetual free tier includes 100 GB/month and one full user.

pricing ↗

Score trend

How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.

PA Scoretracked since Sep 5 '26 — no movement recorded yet
Agent-readytracked since Sep 5 '26 — no movement recorded yet

Try Experimental

Run it in the microterminal →

Recorded agent sessions — and a live MCP handshake where the vendor ships one.

Flag

⚑ Flag a verdict

Think a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.

Badge

Embed this product's score badge →

Hotlinked SVG — always shows the live current score.

For agents

This page as markdown/llms.txt

Data

Evidence (JSON)Verdicts (JSON)

Agent surface uptime MCP 100% (30d, checked every 6h since Sep 8 '26)