Agentic Index

Doctor Droid vs Sherlocks.ai (2026)

Both vendors last verified

Doctor Droid and Sherlocks.ai are both self serve AI SREs with a free way in. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Doctor Droid investigates alerts end to end on a live knowledge graph of the stack, remediates through runbooks you approve, and runs in the cloud or your VPC with bring your own LLM. Startup is $99 a month with a 14 day trial, and its PlayBooks engine is open source. Sherlocks.ai correlates observability signals for incident response, root cause and outage prevention, with institutional memory. Its Free plan covers 30 investigations a month, and Enterprise adds an option to run the model in your VPC. Choose Doctor Droid for approved remediation with your own model. Choose Sherlocks to start free on investigation alone.

On the Agentic Index production ops ranking, Doctor Droid clears the bar and Sherlocks.ai does not. Doctor Droid documents all five resolution loop capabilities in full; Sherlocks.ai documents two of the five in full. 15 of the 38 vendors in the lane clear it. See the production ops ranking

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Doctor Droid and Sherlocks.ai are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Doctor Droid if

  • Fixes should run through runbooks you approve.
  • You need to bring your own LLM, in the cloud or your VPC.
  • Your developers need an API, and you value an open source engine.

Choose Sherlocks.ai if

  • You want to start free, with 30 investigations a month and no card.
  • Investigation and root cause matter more than remediation.
  • Institutional memory should carry across incidents.
Feature
D
Doctor Droid
S
Sherlocks.ai
Action & orchestration

Integrations & Tool Calling

Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

Triggers & Channel Coverage

How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools.

Knowledge & context

Knowledge Grounding & RAG

Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

Platform extensibility

Model Flexibility & Routing

Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.

Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
D
Doctor Droid
S
Sherlocks.ai

Entry price

Lowest public entry point

Startup is $99 per month with 99 investigation credits and a 14 day trial. Business starts at $999 per month in the cloud or $2,999 self hosted. Enterprise is custom. Free (30 investigations a month, self serve); Enterprise custom

Pricing confidence

How public the numbers are

Public, exact Public, partial

Billing

Primary billing axis

A monthly plan fee. Startup carries investigation credits, Business plans are sized for teams of 20 to 200 engineers, and Enterprise is custom. Investigations per month on Free; custom Enterprise contract

Variable cost

Workload / overage exposure

Medium variable cost Medium variable cost

Free tier / trial

Try before you buy

No free tierTrial
Free tier

Buying motion

Self-serve vs sales call

Mixed Mixed

Pricing verified

When this pricing was last checked

Product updates

Newest first, each linked to its source.

Doctor Droid

  • · Agent capability

    Doctor Droid introduced Open Index, an open-source framework designed to serve as a structured context layer for AI agents.

    Source

Sherlocks.ai

  • · Integrations

    Sherlocks.ai introduced an AI SRE integration for Slack that makes the chat platform a primary incident investigation interface.

    Source

Doctor Droid's Business plan starts at $999 a month in the cloud or $2,999 self hosted, and Sherlocks prices Enterprise on request.

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