PR Quorum vs EasyCommand

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

PR Quorum compared with EasyCommand
Detail	PR Quorum	EasyCommand
What it does	AI code review for GitHub that removes duplicate and low-confidence findings and posts one focused review	Fine-tuned small models for English-to-Bash command generation
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	Not given
Pricing model	Not given	Open source
Pricing	Free: $0/month with 50 reviews/month across 2 repositories. Pro: $12/developer/month (or $9.60/month billed yearly) with 150 reviews/seat/month. Team: $25/developer/month (or $20/month billed yearly) with 300 reviews/seat/month. Max: $50/developer/month (or $40/month billed yearly) with 750 reviews/	Not given
Key features	Specialist reviewer panel with up to 8 templates plus custom reviewers Duplicate and low-confidence finding deduplication Repository-level policy configuration via .ai-review.yml Flexible model routing with OpenRouter integration Advisory-only reviews that never block merges Inline comments at exact diff positions Review modes: quiet, balanced, and paranoid confidence thresholds Cost dashboard and spend visibility Monthly review quotas with hard limits AES-256-GCM encryption for OpenRouter keys at rest	1.5B and 0.6B fine-tuned models 401,975 synthetic training examples 4-bit quantized models CLI with llama.cpp integration Command preview mode Covers file operations, text processing, Git, archives, networking Training data and checkpoints available Apache 2.0 and MIT licensed ALFA-updated benchmark evaluation Supervised fine-tuning with LoRA
What makes it different	Brings your own OpenRouter key so you control models and data path instead of using shared keys Deduplicates findings across multiple reviewers to post only the strongest comments Advisory by design so maintainers always keep merge control Repository-level configuration to adjust review strictness for risky code paths One pooled monthly quota across team so review allowance scales with workspace size	70.7% pass rate on ALFA-updated benchmark vs 63.7% for competing models CPU-friendly quantized models Specialized for bash command generation from natural language Agentically trained with synthetic data generation and evaluation
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	17 no change since last check	36 no change since last check
Trust Flow (Majestic)	4	6
Citation Flow (Majestic)	22	32
Referring domains (Majestic)	56	219

3 details filled in for both companies.

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