- Brand
- Unknown
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
Kove is a personal finance app for budgeting, savings goals, investments, retirement planning, and debt payoff. This app lets ChatGPT read a signed-in Kove user's own data: accounts and balances, net worth, budget vs. actual spending, spending by category and month-over-month comparisons, recent and searched transactions, recurring charges and subscriptions, unusual spending, savings goals, investments, retirement plan, and a credit card payoff projection (avalanche vs. snowball). If the user grants change access when connecting, ChatGPT can also update monthly or long-term budget amounts and custom categories; create, update, or contribute to savings goals; recategorize transactions or mark them reviewed; accept or dismiss detected recurring charges; update a credit card's limit, APR, or minimum payment; and update retirement plan assumptions. With the user's permission, it can send Kove's team a note about something Kove couldn't do. It cannot move money, make trades or payments, connect or disconnect banks, or change account or billing settings. Requires a Kove account with external app access turned on in Settings. Each connection is limited to one user, and every change is logged in Kove's Settings, where access can be revoked at any time.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Category
- Pending
- Primary Subcategory
- Pending
- Secondary Subcategories
- None listed
- Brand
- Unknown
- Access
- Account required
- First tracked
- 2026-10-13
- Tool count
- 29
- Geography
- US
The broad Category that contains the Primary Subcategory.
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
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Competitive lineup
29 tools agents can invoke
Kove Finance ChatGPT Plugin FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve Kove Finance's ChatGPT Plugin discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.