Agentic Index
Dropzone AI vs Qevlar AI (2026)
Dropzone AI and Qevlar AI both deliver autonomous investigation, aimed at different operators: Dropzone is the transparent direct buy, 36,000 dollars a year published for four thousand investigations, dropping into an enterprise SOC in under a day as a Tier 1 layer, while Qevlar is sales quoted with packaging tuned for MSSPs, where investigation depth into Tier 2 and Tier 3 and coverage across many client stacks shape the contract.
Enterprises wanting fast, priced, focused triage lean Dropzone; managed service providers scaling analyst leverage across a client book lean Qevlar.
Choose Dropzone AI if
- You run one environment and want published pricing and a fast start.
- Tier 1 triage volume is the specific pain to eliminate.
- Per investigation billing maps cleanly to your alert load.
Choose Qevlar AI if
- You deliver security as a service across many client environments.
- Tier 2 and Tier 3 investigation depth is where your margin lives.
- MSSP oriented packaging and multi tenant economics fit your model.
| At a glance | Dropzone AI | Qevlar AI |
|---|---|---|
| Category | Security / SOC agent | Security / SOC agent |
| Entry price | $36,000 per year for 4,000 investigations (about $3,000 per month); larger volumes via sales | Contact sales; enterprise and MSSP contracts, no public rates |
| Free / trial | Proof of value evaluations through sales; no self serve trial | Enterprise evaluations through sales; no self serve trial |
| Pricing confidence | public partial | contact only |
| Feature | D Dropzone AI |
Q Qevlar 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. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Partial | Full / Explicit |
|
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. |
Full / Explicit | Full / Explicit |
| 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. |
Partial | Partial |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Partial | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit | Partial |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Partial |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Partial | Partial |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Partial | Partial |
| 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. |
No / Not documented | No / Not documented |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
No / Not documented | No / Not documented |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
No / Not documented | No / Not documented |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | D Dropzone AI |
Q Qevlar AI |
|---|---|---|
|
Entry price Lowest public entry point |
$36,000 per year for 4,000 investigations (about $3,000 per month); larger volumes via sales | Contact sales; enterprise and MSSP contracts, no public rates |
|
Pricing confidence How public the numbers are |
Public, partial | Contact only |
|
Billing Primary billing axis |
usage (investigations per year) | enterprise contract (MSSP packaging) |
|
Variable cost Workload / overage exposure |
Medium variable cost | Low variable cost |
|
Free tier / trial Try before you buy |
No free tierTrial
|
No free tierTrial
|
|
Buying motion Self-serve vs sales call |
Sales call | Sales call |
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