Agent Discoverability

Deal Screener

Screen a deal before you buy

View in the ChatGPT registry
Brand
Unknown
Category
Pending
Primary Subcategory
Pending
Integration details

Description

Deal Screener is for people buying a small business — searchers, first-time acquirers, independent sponsors — who have a listing, a CIM, a broker packet or a P&L in front of them and need to know quickly whether it deserves more of their time. Paste the listing and ask it to screen the deal. It returns: • A score out of 100 shown with an explicit confidence level. A high score on thin information is not a good deal, it is an unexamined one, so the two always appear together and the dimensions it could not assess are named. • The add-back schedule graded line by line — clean, challenge or reject — using the seller's own wording. • An earnings ladder from the earnings as reported down to what a buyer actually underwrites, and the multiple the asking price implies at each rung. • Whether the debt services at the terms you give it. • Exactly what information is missing, why it matters, and the question to ask for it. Two follow-on tools carry the deal forward. Seller questions builds a sequenced call plan in three stages — screen, account, test — and deliberately holds the sharp, deal-specific questions to the last stage, because challenging an owner before you have their full account contaminates the account. Diligence checklist builds a tiered request list (desk, confirmatory, full) that adapts to the business: recurring revenue adds cohort work, a platform dependency adds that platform's account history, customer concentration adds the contract. Each item says why it matters and what a bad answer sounds like. How it handles numbers: it never states a figure it cannot derive from what you supplied. It does not quote market multiples. If a figure would have to be guessed — what it costs to replace the owner, the rate a lender will offer — the line stays blank and says what to find out. Limitations: it is a desk screen built only from what you share, not advice and not a substitute for diligence on real books. It does not fetch listings, read files on its own or verify anything against bank statements or tax returns. Who built it: Kautilya, a buy-side advisor that finds businesses for buyers. Results include a link to Kautilya, tagged only with the name of the tool you used. Privacy: read-only, no account, no sign-in. Nothing you send is stored.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Pending

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.

Brand
Unknown
Access
No account required
First tracked
2026-11-05
Tool count
3
Market
US
Agent DiscoverabilityChatGPT Plugin Discovery Score
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Primary Subcategory

Competitive lineup

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

3 tools agents can invoke

Recommended guideHow to get your ChatGPT Plugin suggestedFollow the practical steps agents use to find, shortlist, and choose your Plugin.Read guide
FAQs

Deal Screener ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

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How do I improve Deal Screener'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.