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PromptSpend vs Repowise

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

PromptSpend compared with Repowise
DetailPromptSpend logo PromptSpendRepowise logo Repowise
What it doesLLM API cost calculator and comparison tool Codebase intelligence platform for AI agents and teams
StageNot given Startup
FoundedNot given 2024
Based inNot given Not given
Pricing modelOpen source Freemium
PricingFree 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
  • Estimate LLM API costs for 109 models
  • Compare pricing across 16 providers
  • Paste prompt and see cost comparison
  • Free tier information for each model
  • Optional email price alerts
  • Data processed on device, not transmitted
  • Available as native iPhone and Android apps
  • Pricing API available
  • VS Code extension
  • 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
  • Pricing automatically re-checked every morning against tracked sources
  • Completely free with no accounts or ads required
  • Pasted text stays on your device and is never transmitted
  • Open source MIT licensed codebase
  • Covers 109 models from 16 providers in a single comparison
  • 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 planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)8 +1 (up) since last check10 no change since last check
Trust Flow (Majestic)38
Citation Flow (Majestic)1934
Referring domains (Majestic)48244

5 details filled in for both companies.

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