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ChatGPT Plugin

Lendflow

Lending workflow and offers

View in the ChatGPT registry
Category
Finance
Primary Subcategory
Pending
Integration details

Description

Lendflow lets lending teams work their pipeline from ChatGPT. Look up applications and the businesses behind them, review the offers and funder placements attached to a deal, see which documents are still outstanding, and move a deal to its next workflow status. Users sign in with their own Lendflow account and see only the records that account already has access to.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Finance

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Access
Account required
First tracked
2026-10-01
Tool count
31
Geography
US
Agent DiscoverabilityChatGPT Plugin Discovery Score

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What discovery looks like

ChatGPT recommends Airtable when a user asks it to update a CRM.
ChatGPT surfaces Airtable because it matches the user's request.

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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Lendflow has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Tools

31 tools agents can invoke

Recommended guideThe Complete Guide to ChatGPT Plugin DiscoverabilityFollow the practical steps agents use to find, shortlist, and choose your Plugin.Read guide
FAQs

Lendflow FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve a ChatGPT Plugin's 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.