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Bricklayer AI vs Nevarn

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Bricklayer AI compared with Nevarn
Detail Bricklayer AINevarn logo Nevarn
What it doesGoverned, coordinated AI agents for security operations The back office for trading bots and agents
StageNot given Startup
FoundedNot given 2026
Based inUS SE
Pricing modelNot given Paid
PricingNot given Starter: $199/month (2 active mandates, 5,000 rulings/month). Team: $799/month (20 active mandates, 100,000 rulings/month). Enterprise: Custom pricing. Additional: $20/month per further active mandate and $1 per further 1,000 rulings. Merchants accepting AI-agent payments: 0.5% per settled payment,
Key features
  • Coordinated multi-agent workflows with shared context
  • Role-based and SME agents across security domains
  • Complete audit trails and policy-enforced RBAC
  • Alert triage and response across endpoint, identity, cloud
  • Incident investigation with hypothesis testing and case management
  • Context-aware vulnerability prioritization
  • Threat intelligence ingestion and analysis
  • Parallel threat hunting across endpoint, identity, network, cloud
  • 142+ integrations and MCP support
  • Collaborative workbenches for human-agent oversight
  • Shadow mode for testing intents without execution
  • Execute intents in Sandbox (paper fills) or Production (queued orders)
  • Halt all signing across account with single control
  • Permissions limited by venue, action, per-transaction and daily caps, expiring within ninety days
  • Reconciled books recorded on-chain
  • Receipts with Decionis ruling, order, fill transaction, settlement, ledger entries and balance
  • HTTP API with strategy contract
  • Typed error handling with rate limiting and retry support
  • Idempotent intent submission with intentKey for safe retries
What makes it different
  • Governed workforce model with enforced policies and audit trails instead of isolated point agents
  • Coordinated multi-agent teams with shared context instead of brittle playbooks
  • Agents that understand organizational context and build on prior work
  • Comprehensive security operations coverage beyond SOC to threat hunt, vulnerability, and threat intelligence
  • Pre-trade checks ensure intents meet policy before execution
  • Sandbox environment for paper trading and testing without real execution
  • Recorded decisions and books reconciled on-chain for audit and transparency
  • SDKs and MCP server free under Apache License 2.0
  • User retains custody and control; platform cannot access wallet or private keys
Community votes00
DR (Domain Rating by Ahrefs)27 +1 (up) since last check4 no change since last check
Trust Flow (Majestic)80
Citation Flow (Majestic)2512
Referring domains (Majestic)1231

4 details filled in for both companies.

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