AI For Finance

Moxie

Moxie is an open-source money agent that finds zombie subscriptions, duplicate charges, and missed refunds, then drafts fixes with your consent and logs every step in a tamper-evident audit trail.

What is Moxie?

Moxie is an open-source personal finance agent that automatically detects wasteful subscriptions, duplicate charges, and missed refunds, and drafts actions for your approval. It prioritizes user control, privacy, and transparency with a local-first, bring-your-own-key design and a tamper-evident audit trail.

Moxie vs Similar AI Tools

Pricing ModelFreeFree, Free TrialFreeFree
Free Credits
Key Features
  • Receipt vault with auto-extraction from email and OCR
  • Detection of zombie subscriptions, duplicate charges, and missing refunds
  • Consent-first action execution with preview and approval
  • Plain English strategy description
  • Real historical market data
  • Models slippage, stops, and fills
  • No account, sign-up, API key, email, or KYC required
  • Free to use with no platform fees
  • Open source under Apache-2.0 (CLI/SDK) and source-available smart contracts
  • AI stock screening and analysis
  • Real-time market data (gold, oil, DXY, bond yields)
  • AI sentiment indicators (BULLISH/BEARISH/NEUTRAL)
Pros
  • Open-source and local-first for full privacy
  • Consent-first design ensures user control over actions
  • Easy natural language interface
  • Realistic backtesting with slippage and funding
  • No account or registration needed
  • Completely free to use
  • AI-powered sentiment analysis
  • Real-time market data
Cons
  • Early scaffold not yet ready for real financial data
  • Requires setup and API key for cloud LLM features
  • Limited free trial (250 calls, 30 days)
  • Usage beyond trial requires contacting support
  • Currently only supports Base mainnet and testnet
  • Requires running CLI commands (not a web interface)
  • Limited to US stocks
  • No advanced technical analysis tools
Best For
  • Individuals wanting to track and cancel subscriptions
  • Privacy-conscious users seeking local financial AI
  • Crypto traders
  • Quantitative researchers
  • AI agents that need to raise capital for projects or operations
  • Developers building autonomous agent systems
  • Individual investors
  • Day traders

How to use Moxie?

  1. 1Clone the repository and install with pip.
  2. 2Run 'moxie init' to initialize.
  3. 3Use 'moxie scan' to analyze transactions (bundled sample data included).
  4. 4Approve or reject proposed actions with 'moxie review'.
  5. 5View the audit trail with 'moxie log'.
  6. 6Verify log integrity with 'moxie verify'.

Moxie Key Features

  • Receipt vault with auto-extraction from email and OCR
  • Detection of zombie subscriptions, duplicate charges, and missing refunds
  • Consent-first action execution with preview and approval
  • Tamper-evident hash-chained audit log
  • Community skill library for merchant-specific actions
  • Local-first with BYO LLM API key or offline model support

Moxie Use Cases

  • Canceling unwanted subscriptions
  • Disputing duplicate or incorrect charges
  • Tracking and claiming missed refunds
  • Automating personal finance management with user oversight
  • Auditing financial transactions with tamper-proof records

Moxie Pricing & Free Credits

Moxie currently operates on a Free model.

This tool is completely free to use

Open Source

Free

Self-hosted, MIT licensed. No subscription required.

Moxie Pros & Cons

Pros

  • Open-source and local-first for full privacy
  • Consent-first design ensures user control over actions
  • Tamper-evident audit log provides transparency
  • Supports community-contributed skills for various merchants
  • Can run fully offline with local models

Cons

  • Early scaffold not yet ready for real financial data
  • Requires setup and API key for cloud LLM features
  • No mobile app or graphical interface
  • Limited out-of-the-box integrations (Plaid stubbed)

What is Moxie best for?

  • Individuals wanting to track and cancel subscriptions
  • Privacy-conscious users seeking local financial AI
  • Developers building or contributing money-action skills
  • Open-source enthusiasts interested in AI agent development

Moxie FAQ

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