ScopeLinq

What did we actually agree to?

Category: Operations
Primary Subcategory: Contract Lifecycle & Review

Integration details

Description

Paste a proposal, quote, estimate, contract, or email thread. ScopeLinq reads it into the terms it actually states, each traced to the words it came from, and tells you what the text doesn't say. Confirm the lines that were agreed, then ask whether a new request is Included, Additional work, or Needs clarification — the answer cites only lines you confirmed. Works for whoever sent the document or whoever received it. Free, no account.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Operations
Primary Subcategory: Contract Lifecycle & Review
Secondary Subcategories: None listed
Brand: ScopeLinq
Access: No account required
First tracked: 2026-09-17
Tool count: 2
Geography: US

ChatGPT Plugin Discovery Score

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Primary Subcategory

Competing in ChatGPT Contract Lifecycle & Review

View Category

Listed in alphabetical order

Primary Subcategory

Contract Information ExtractorComing soonGet notified

F-AI: Contract ReviewComing soonGet notified

IdealsComing soonGet notified

Ironclad ContractsComing soonGet notified

Safe2Sign: Contract Risk CheckComing soonGet notified

ScopeLinqComing soonGet notified

Tools

2 tools agents can invoke

Answers whether a new request is Included, Additional work, or Needs clarification, citing one of the confirmed lines. Only pass lines the person has confirmed were agreed. Never pass lines from not_found_in_text unless the person confirmed them, and never pass the original document — there is no field for it. If no lines have been confirmed yet, call draft_scope_record first and ask the person. Works for whoever sent the document or whoever received it. Free, no account.
check_scope_change
Reads a proposal, quote, estimate, contract, or email thread and returns the terms it actually states, each traced to the words it came from. Works for whoever sent the document or whoever received it. Pass the text exactly as written — do not summarise it first. Remove names, email addresses and account numbers before pasting. Returns two lists: `lines` (found in the text) and `not_found_in_text` (things the text does not clearly say). Show both to the person and ask which lines they agree were agreed, then call check_scope_change with only those. The text is processed by an AI model to produce the lines and is deleted within 24 hours. Free, no account.
draft_scope_record

ScopeLinq FAQ

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.

What are ScopeLinq alternatives on ChatGPT?

As of 2026-09-17, ScopeLinq competes with Contract Information Extractor, F-AI: Contract Review, Ideals, Ironclad Contracts, Safe2Sign: Contract Risk Check, SeedLegals, Syntheia, Youtrust in ChatGPT Contract Lifecycle & Review, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.