milliseconds.ai vs Repowise

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

milliseconds.ai compared with Repowise
Detail	milliseconds.ai	Repowise
What it does	Small model. Big decisions.	Codebase intelligence platform for AI agents and teams
Stage	Not given	Startup
Founded	Not given	2024
Based in	CA	Not given
Pricing model	Freemium	Freemium
Pricing	Test plan: 125 million free input tokens per month with test_sk keys. Production plan: $0.04 per million input tokens with prod_sk keys (no charge for output tokens). Minimum credit bundle of $10 to unlock production access.	Free: 2 public repos, 10 AI answers/month. Pro: $15/month (moving to $20/month in November, or $16/month yearly), includes private repos, auto-sync on every push, security scanning, $5/month AI credits. Teams: $20/seat/month with 3-seat minimum, includes 25 shared repos, shared $5/seat/month credit
Key features	Classification with score distribution and confidence Text and image extraction Yes/no decisions with probability Entity recognition and extraction Field verification against source Multi-level classification (classify-tree) OpenAI SDK compatibility Sentiment or tone rating Question answering with source spans SDK support for TypeScript and Python	Code health scoring with defect prediction Blast radius and change impact detection Auto-generated documentation rebuilt on every commit Git intelligence: hotspots, owners and coupling detection Architecture and decision tracking MCP tools for Claude Code and Cursor PR bot with change review and test detection Security scanning: CVEs, secrets and reachability Dead code detection and unused exports Change Records with policy enforcement
What makes it different	Optimized for bounded decisions with millisecond latency, avoiding slow token-by-token generation Extremely cost-effective at $0.04 per million input tokens with no output token charges 125 million free test tokens monthly with no card required Production-ready with REST API, SDKs, and CLI interfaces Structured responses enable direct application logic without additional parsing	Open source under AGPL-3.0, self-hostable with no LLM calls required to build the index Every published benchmark includes sample size, corpus and statistical methods Code health scores trained on years of real commits and defect fixes, with 0.74 AUC prediction accuracy Eliminates need to switch tools: integrates with Claude Code, Cursor, VS Code, GitHub and team dashboards
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)	18 −1 (down) since last check	10 no change since last check
Trust Flow (Majestic)	28	8
Citation Flow (Majestic)	31	34
Referring domains (Majestic)	42	244

5 details filled in for both companies.

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