BadMars vs Kynver
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
BadMars compared with Kynver
| Detail | 
BadMars | 
Kynver |
|---|
| What it does | Fail here first.
| An AI workforce that runs on your machines
|
|---|
| Stage | Startup
| MVP
|
|---|
| Founded | 2026
| Not given
|
|---|
| Based in | RO
| US
|
|---|
| Pricing model | Freemium
| Freemium
|
|---|
| Pricing | Not given
| Free: $0/mo (1 agent, 10k API calls/mo). Starter: $9/mo (2 agents, additional agents $7 each). Pro: $29/mo (5 agents, additional agents $5 each). Business: $99/mo (25 agents, additional agents $3 each). Agentic OS early access is free while in beta.
|
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| Key features | - Panel of 12 hostile specialists trained to find different failure modes
- Verbatim anchoring of every finding to your document
- Score computed by formula based on failure severity and probability
- The Frog: identification of the one critical problem to fix first
- Debrief debate feature to argue back with evidence
- Available in Claude and ChatGPT
- Android app for mobile access
- Program tracking across multiple missions and frog history
- 48-hour full refund guarantee on first Landing
| - Command Center shows goals, plans, and shipped work with pull request integration
- Agent runs on your own hardware with persistent, stoppable execution
- Signed, tamper-evident receipts for all memory access
- Encrypted Vault for private information sealed in browser before upload
- Trust score from 0 to 1000 based on verifiable activity
- Verified badge eligibility for published agents
- MCP tools for building and publishing custom agent capabilities
- JavaScript and Python SDKs with auto-instrumentation for tracking
- Cryptographic verification that instructions come from your workspace
- Full memory export with no vendor lock-in
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| What makes it different | - Ranked findings with concrete next steps, not opinions
- Start free, upgrade after seeing results
| - Agents run on your machines with full data privacy and local execution
- Verifiable, tamper-evident audit trail for every agent action
- Agent memory persists across model changes with no loss of context
- Finished work delivered, not chat logs—pull requests and shipped tasks
- Earn from published agents through creator payouts on the directory
|
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| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 7 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 2 | 0 |
|---|
| Citation Flow (Majestic) | 15 | 13 |
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| Referring domains (Majestic) | 5 | 4 |
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6 details filled in for both companies.
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