Doctor Droid
FreemiumSelf-learning AI agent for faster incident response and root-cause analysis.
By Tanmay Verma, Founder · Last verified 06 Jul 2026
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Added 7d ago
77/100Safe BetIn short
Doctor Droid — Self-learning AI agent for faster incident response and root-cause analysis. Best for SRE teams managing complex multi-tool infrastructure, Platform engineering teams looking to automate incident response, DevOps teams wanting to reduce MTTR without manual log digging. Free to start; paid plans from $99/mo.
Is Doctor Droid actually worth it?
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Editorial Verdict
Best for
SRE teams managing complex multi-tool infrastructurePlatform engineering teams looking to automate incident responseDevOps teams wanting to reduce MTTR without manual log diggingOn-call engineers who need faster context and root causeOrganizations with existing observability and cloud tools seeking AI augmentation
Not ideal for
Teams without any existing observability or monitoring toolsSolo developers working on small side projectsOrganizations not ready to grant read-only access to cloud and code repositoriesTeams needing a traditional monitoring tool rather than an AI agent
Doctor Droid's knowledge-graph approach to incident response is genuinely differentiated — it connects alerts to code, configs, and runbooks in one view. The credit-based pricing is a fair trade-off for teams with predictable investigation volumes, but $99/month for 99 credits may feel steep if you only handle a few incidents a week. Best for mid-to-large SRE teams; solo devs or small ops may find the ROI thin.
Skip Doctor Droid if Skip Doctor Droid if you don't have existing observability or monitoring tools that it can connect to, or if you're a solo developer on a small project where the credit-based pricing isn't cost-effective.
Compare with: Doctor Droid vs Spider Cloud, Doctor Droid vs Truleo, Doctor Droid vs Arize Phoenix
Last verified: July 2026
What's new in Doctor Droid
Checked 4 days agoAcross the latest 5 updates: 5 changelog entries.
ChangelogBlog·Apr 21Newest
Notes by Doctor Droid Context Engine: How DrDroid's AI Agent leverages the Continuously Improving Knowledge Graph
Describes how DrDroid's AI agent uses a continuously improving knowledge graph to understand production systems beyond single components.
ChangelogBlog·Apr 9
How DrDroid AI SRE Agent is specialised for Production Incidents & On-call Investigations
Explains how DrDroid's AI SRE agent is tailored for production incidents and on-call investigations.
ChangelogBlog·Apr 7
DrDroid: How AI SRE Helps Engineers who are on-call for production monitoring
Discusses how AI SRE assists on-call engineers with automated investigations.
ChangelogBlog·Mar 19
Backtesting AI Agents: How SRE Teams Prove Reliability Before Production
Describes how SRE teams can backtest AI agents to prove reliability before deploying to production.
ChangelogBlog·Mar 19
KubeCon + CloudNativeCon Europe 2026 Guide – Amsterdam
Guide for KubeCon Europe 2026 in Amsterdam, featuring DrDroid's presence.
Viability Score
77/100
Safe BetHow likely is Doctor Droid to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
55
funding runway
80
website health
90
wrapper dependency
100
Last calculated: July 2026
How we score →Key Features
- Auto-builds a cross-tool knowledge graph of your stack
- Root-cause analysis in under 9 minutes from alert firing
- Proactive suggestions to tighten retry budgets, auto-scale, etc.
- Automated runbooks and remediation workflows
- Smart model switching to optimize credit usage
- Blast radius tracing from a single alert across connected entities
- Continuous learning from every investigation, deploy, and alert
- Integrates with cloud providers (AWS, GCP, Azure)
- Integrates with code repos (GitHub, GitLab) and CI/CD pipelines
- Ingests runbooks, wikis, ADRs, and on-call docs as knowledge sources
- Alert correlation and noise reduction via the knowledge graph
- Unlimited users per organization on all paid plans
- Custom MCP servers for specialized integrations
- Email and Slack notification for credit usage (80% threshold)
- 14-day free trial with full Teams capabilities
About Doctor Droid
FreemiumIntermediateAPI availableWeb · API · Plugin
Doctor Droid is an AI SRE agent that ingests telemetry, code, cloud configs, and runbooks to build a living knowledge graph of your infrastructure. It crawls metrics, logs, traces, alerts, deploy events, and documentation from tools like Datadog, Grafana, GitHub, and AWS, mapping every entity relationship automatically. When an alert fires, the agent traces the blast radius across connected services, surfaces root causes, and can execute automated runbooks — all without manual log hopping. The platform is designed for DevOps, SRE, and platform engineering teams who want to cut MTTR, reduce alert fatigue, and prevent incidents from recurring. It learns continuously from every investigation, alert, and deploy, making the knowledge graph smarter over time. Doctor Droid bills on investigation credits (not users) and offers a Teams plan at $99/month for 99 credits, with enterprise options for self-hosting and BYO LLM. The tool is SOC 2 compliant and integrates with 53+ tools out of the box. Unlike generic AI chatbots bolted onto observability stacks, Doctor Droid's knowledge graph provides cross-tool context and automated runbooks grounded in your actual infrastructure.
Behind the Verdict
Doctor Droid stands out from other AI incident-response tools by building a live, cross-tool knowledge graph that maps every entity in your stack — from GitHub repos to Datadog dashboards to AWS RDS instances. This graph powers automated root-cause analysis (the vendor claims under 9 minutes from alert firing), blast-radius tracing, and proactive suggestions like tightening retry budgets or auto-scaling. The self-learning agent improves with each incident, detecting patterns that recur. On the pricing side, the Teams plan at $99/month for 99 investigation credits is straightforward if your team handles roughly 10 alerts per day, but heavy users may need to top up at $1/credit, which can add up. The Enterprise plan adds self-hosting, BYO LLM, and compliance certifications. One limitation is that credit consumption can be hard to estimate upfront, and smart model switching may compromise diagnostic quality on complex cases. For solo developers or teams without existing observability tools, the ROI is questionable.
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Real-world workflow fit
Concrete scenarios for the personas Doctor Droid actually fits — and what changes day-one when you adopt it.
SRE team dealing with a PagerDuty alert
A p95 latency alert fires for the payments-api service. The on-call engineer opens DrDroid, which has already traced the blast radius across connected Grafana dashboards, K8s pods, and recent deploys. In under 9 minutes, DrDroid surfaces the root cause: a sidecar OOM from a recent deploy, and suggests rolling back.
Outcome: MTTR reduced from 30+ minutes to under 10 minutes, with a clear, actionable root cause and automatic runbook execution.
Platform engineering team onboarding DrDroid
The team connects DrDroid read-only to AWS, GitHub, Datadog, and Confluence via OAuth. Within 30 minutes, DrDroid crawls telemetry and builds a knowledge graph mapping services, dashboards, runbooks, and infrastructure entities.
Outcome: Within the first day, the team gains a living map of their stack and can run investigations without manual context gathering.
On-call engineer handling a recurring pattern
An engineer notices DrDroid has flagged a pattern: 'RDS degraded → app errors spike' (94% match, firing now). The pattern includes the runbook that worked last time. The engineer executes the runbook in one click, and DrDroid closes the incident.
Outcome: Incident resolved in minutes, with the platform learning from the outcome to improve future pattern matching.
Use Cases
- Investigate a PagerDuty alert by running automated root-cause analysis across logs, metrics, and recent deploys.
- Auto-create and execute runbooks when a Kubernetes pod enters CrashLoopBackOff.
- Proactively suggest tightening retry budgets after detecting repeated timeouts in a microservice.
- Trace the blast radius from a single alert to impacted services, dashboards, and AWS resources.
- Ingest runbooks and wikis to ground AI responses in institutional knowledge.
Models Under the Hood
Claude SonnetOpenAIAnthropicBedrocklocal LLMs (BYO)
as of 2026-07-06
Limitations
- The Teams plan caps at 99 investigation credits per month; heavy usage requires topping up at $1/credit.
- Smart model switching may use cheaper models on complex cases, potentially reducing quality.
- Enterprise features like self-hosting and BYO LLM are gated behind sales.
- Credit consumption can be hard to estimate upfront.
as of 2026-07-06
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
$1,188
Over 12 months
Effective monthly
$99
Billed monthly
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Doctor Droid tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Teams
$99/mo
Ideal for
Small-to-mid-size SRE teams that handle ~10 alerts per day and want a predictable bill with unlimited users.
What this tier adds
Starting tier at $99/month for 99 investigation credits; includes unlimited users and integrations but no self-hosting or BYO LLM.
Enterprise
Custom
Ideal for
Large organizations that need self-hosting, BYO LLM, SSO/SCIM, and compliance certifications (SOC 2 Type II, ISO 27001).
What this tier adds
Adds self-hosted VPC deployment, custom LLM support, volume pricing, and dedicated support with a 15-minute response SLA compared to Teams' 1-hour SLA.
Integrations
Where the pricing makes sense
The company stage and team size where Doctor Droid's pricing actually pencils out — and where peers do it cheaper.
Doctor Droid's Teams plan at $99/month for 99 investigation credits with unlimited users fits small-to-mid SRE teams handling ~10 alerts/day. For larger volumes, top-up credits ($1 each) make it less competitive than alternatives with flat-rate seat pricing. Enterprise options are custom.
Setup time & first value
How long it actually takes to get something useful out of Doctor Droid — broken out by persona, not the marketing-page minute.
For an SRE team with existing cloud, code, and telemetry tools, DrDroid can be up and running in about 30 minutes via OAuth connections (read-only, no agents). The knowledge graph begins populating immediately. First value (e.g., a root-cause analysis on a recent alert) can be seen within the first day.
Switching to or from Doctor Droid
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Migrating in
- →From manual incident response: Grant DrDroid read-only access to your existing observability tools (Datadog, Grafana, PagerDuty) via OAuth; no code changes needed. The knowledge graph auto-populates.
Migrating out
- ↗To another AI incident tool: Export your knowledge graph via API (if available) or manually document your patterns and playbooks.
Resources & Guides
Frequently Asked Questions
Tools that pair well with Doctor Droid
Common stack mates teams adopt alongside Doctor Droid, with the specific reason each pairing earns its keep.
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