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Cleric vs Aguru

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

Cleric compared with Aguru
DetailCleric logo ClericAguru logo Aguru
What it doesAI agents that prevent production incidents by verifying changes and investigating alerts AI execution infrastructure that turns mission-critical manual tasks into reliable, paid AI services
StageNot given Not given
Founded2023 Not given
Based inUS Not given
Pricing modelPaid Contact for pricing
PricingTeam $700/month (1,400 credits), Pro $1,500/month (3,000 credits), Scale $3,000/month (6,000 credits), Enterprise custom annual billing. Change verification costs 2 credits ($1), issue investigation costs 10 credits ($5), chat requests 1 credit per started minute after first 30 seconds ($0.50/minute Not given
Key features
  • Production change verification with up to 14-day monitoring
  • Automated root cause analysis for production issues
  • Fix pull request generation with production evidence
  • Environment graph mapping services and dependencies
  • Alert deduplication and false positive dismissal
  • Operational memory accumulating across investigations
  • Integration with Slack, Microsoft Teams, and web app
  • SOC 2 Type II compliance and read-only by default
  • MCP (Model Context Protocol) server support
  • Custom agents and alert routing
  • Job of Work Mapper: identifies valuable processes and maps required outcomes, steps, systems and stakeholders
  • Execution Engine: manages multi-week or multi-month workflows with fault tolerance, checkpoints and error recovery
  • Built-in stakeholder management: communicates with stakeholders across channels and escalates exceptions
  • Intelligence flywheel: captures execution data to benchmark models, improve accuracy and optimise costs
  • Small focused AI models in deterministic graph: reduces errors and cost vs single large models
  • Fully auditable and explainable execution
  • Durable execution engine with checkpoints and automated recovery
What makes it different
  • Verifies production changes against real traffic for up to 14 days
  • Hands off fix pull requests with production evidence for review
  • Closes false positives and investigates only real production issues
  • Learns from each fix and compounds knowledge across the team
  • Read-only by default with full audit trails and SOC 2 Type II compliance
  • Handles multi-stakeholder workflows spanning days, weeks or months without requiring core product rebuild
  • Partners keep control of brand and customer relationships while using platform for execution
  • Usage-based pricing aligns fees with completed outcomes rather than features
  • Small focused AI models designed for accuracy and repeatability in high-trust workflows
  • Includes mapping stage to validate commercial viability before significant investment
Community votes00
DR (Domain Rating by Ahrefs)47 no change since last check12 no change since last check
Trust Flow (Majestic)118
Citation Flow (Majestic)3629
Referring domains (Majestic)26564

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