ChatGPT Plugin

Criteria by Lendmind

UK mortgage lender criteria

Brand: Lendmind

Category: Finance
Primary Subcategory: Pending

Integration details

Description

Criteria by Lendmind gives ChatGPT the published lending criteria of 80 UK mortgage lenders, and the products on their rate sheets. It is for mortgage brokers and advisers in the UK. Describe a case in plain English, such as a first-time landlord buying an HMO through a limited company, and ChatGPT can: - turn your words into the topics lenders publish criteria on; - check the case against every lender, or the lenders you name, and say for each need whether a lender meets it, meets it with conditions, is unclear or does not meet it; - quote a lender's own words, with a link to the page in the lender's document; - search the text of lenders' criteria; - find live products that fit the case, with rate, fee and maximum loan to value, and the date of the rate sheet. Every lender-specific answer rests on a quote you can open. When a lender publishes nothing on a topic, Criteria says so, which is not the same as the lender refusing it. Limitations: Criteria shows what lenders publish; it does not give financial advice or decide whether a lender will lend. Its readings of a quote, including whether a case meets it, are made in part by an AI model and can be wrong, so check the quote. Lenders change their criteria, so confirm a lender's current criteria before you submit a case. Criteria reads and never writes. It receives only the words ChatGPT sends with each request, never your chats or files. Describe a case by its facts, never by your client's name. You sign in with your email address. Each account has daily limits.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Finance
Primary Subcategory: Pending
Secondary Subcategories: None listed
Brand: Lendmind
Access: Account required
First tracked: 2026-11-12
Tool count: 8
Market: US

AgentDiscoChatGPT Plugin Discovery Score

ChatGPT organic discovery is live

Not discoverable in ChatGPT yet

ChatGPT now suggests Plugins on its own when they match a user's request, but not every Plugin is being surfaced yet.We haven’t seen Criteria by Lendmind suggested yet. Sign up and we’ll track it, and your Discoverability Score will appear here once ChatGPT starts surfacing it.

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

Primary Subcategory

Competitive lineup

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

Tools

8 tools agents can invoke

Full detail of claims by id (c_…): quote, reading, conditions and link. At most 50 ids a call. Ids that are passages, not claims, come back under not_found with a note.
get_claims
The whole passage a claim was read from (a claim's source.passage_id, or a passage id from a screen or a search), with the claims read from it: the scope and conditions around a short quote.
get_passage
Lenders covered, with their ids, names, product lines, and how many claims and offers each has. A lender not listed is not covered, which says nothing about what it lends on.
list_lenders
One lender's published rules on the given topic ids, with claims (quote, reading, link), read against the case when one is given. lender: an id or the lender's name as an adviser would write it ("Nationwide", "TMW", "Leeds BS").
read_lender_criteria
Turn the adviser's words into topic ids (1-8 terms, one per thing a lender has to accept or state). Returns candidate topics per term with their definition and how many lenders publish on each.
resolve_topics
Which lenders' published criteria fit this case: "which lenders…", case placement, comparing many lenders. asks: one per need a lender has to accept, each with the topic ids that carry it (alternatives within an ask; all asks are required). case: only what the adviser said. Returns per lender meets · meets_with_conditions · unclear · does_not_meet with a cited quote per ask (for does_not_meet, only the asks that failed, under `failed`), silent_on (asks it publishes nothing on), and coverage.nothing_published. lenders: ids or names ("TMW", "Skipton"); omit for the whole market. A large screen keeps quotes and links for the best-fitting lenders first; coverage.evidence_omitted counts rows left with claim ids only. detail=full returns every deciding claim.
screen_lenders
Free-text search over lenders' criteria passages, for what the topics do not cover. Each hit has a relevance score; near 0 means nothing relevant was found.
search_criteria
Live product offers (rates, fees, max LTV) from lenders' rate sheets that fit the case. Filters come from the case (product_line, loan.ltv_pct, purpose …) and the arguments. left_out_unstated counts offers whose sheet does not state a filtered field; include_unknown=true includes them. Bridging rates are monthly (rate_basis) and sort after annual rates.
search_products

FAQs