Product

Lunch Money

by Lunchbag Labs, Inc.

Product website
https://lunchmoney.app/
Categories
Personal budgeting

Description

Personal finance software for tracking spending and budgets.

AI-native score

How ready this product is for agents to use, on a 0–100 scale across four weighted dimensions. Security is one of them, so a high score is not a substitute for your own security or vendor-risk review. How is this scored?

Unrated. Only 38% of the scored decision fields are researched, so the grade is held until more are confirmed. The breakdown below shows what's been scored.

Integration1/10Trust2/6Portability3/4Security1/4Tier D32/100
Component Raw Weight Contribution
Integration 1/10 35% 3.5
Trust 2/6 30% 10.0
Portability 3/4 20% 15.0
Security 1/4 15% 3.8
Signals that fired
  • Integration: SDK / developer kit (+1)
  • Trust: Sandbox environment (available, +1) ; Verified trust center (+1)
  • Portability: Open standards (+1) ; Standard protocol access (+1) ; No proprietary-SDK lock-in (+1)
  • Security: MFA available (+1)
Signals not researched

These gaps cover the fields used in the AI-native score.

  • Integration surfaces: llms.txt, Headless signup, Native connectors, API specs, Command-line interfaces, Agent skills
  • Trust & data policy: Zero data retention, No generative AI training, Hard budget caps, Data export, Data import, Documented provider swap, Self-hostable, Open source
  • Security & compliance: Compliance certifications, Access controls

Trust & data policy

Trust center
Vendor trust center
Multi-factor authentication
Available
Sandbox environment
Available
Open standards
Yes
Standard protocol access
Yes
No proprietary-SDK lock-in
Yes

Not yet researched Zero data retention, No generative AI training, Hard budget caps, Data export, Data import, Documented provider swap, Self-hostable, Open source

What it does

Jobs to be done

  • Manage a household budget

    Track spending and plan how household income will cover expenses.

    View 3 products

Integration surfaces

How an agent connects to this product and finds its documentation. The largest dimension of the AI-native score (35%).

WebMCP
No

Developer kits

Confirmed absent MCP servers , Agent2Agent (A2A) servers

Not yet researched llms.txt, Headless signup, Native connectors, API specs, Command-line interfaces, Agent skills

Offers

No offers recorded.

Reviews

No approved reviews yet.

RSS: approved reviews

Catalog activity

Track how this entry changes as proposals are opened and merged.

RSS: merged changes · RSS: open proposals

Products from other publishers that share a job-to-be-done or category, most-shared first.

  • Actual Budget by Actual Budget Tier D

    Same job: Manage a household budget (not assessed)

  • YNAB by YNAB Unrated

    Same job: Manage a household budget Finishes, delegation unknown

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Lunch Money — listed on Open Agent Guide Lunch Money — listed on Open Agent Guide

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Markdown

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The badge shows only that this product is listed; it makes no grade claim and can’t be self-set. How scoring works

Ready to decide?

Unrated · 38% researched. Grade withheld until more fields are verified.

Visit Lunch Money