Think inside your AI world.
Ramp through Unl
Ramp records every card swipe. Whether the spend obeyed your policy is your rule — and a feed of transactions doesn’t tell you what broke it.
Ramp through Unl reads your live spend — transactions, vendor adoption, purchasing patterns — against the policy caps you have ratified, so breaches come back named with the cap each one breaks, not a transaction feed to audit.
What Ramp holds
Ramp’s MCP surface exposes the spend data (across 50k+ businesses):
- Spend and transactions
- Vendor adoption
- Purchasing patterns
What the naked read gives you
A naked read returns the transactions. Accurate, and it won’t flag the ones over policy, because your caps — per-category, per-vendor — are rules you set, not Ramp fields it applies for you.
The frame judges the data it is given; it does not verify the source’s accuracy.
What changes when Ramp is read measured
Say you've ratified spend caps: software under £600 a month per team, and no single vendor over £2k without sign-off — caps you set to keep spend inside the plan.
“Anything over policy this month?” returns, measured: two breaches — the design team’s software is at £720, over your £600 cap, and a £2,300 vendor charge went through without the sign-off your rule requires. Ramp supplied the spend; your ratified caps supplied the checks and the reasons.
And back again
If you approve the vendor charge after the fact and record it, the next spend read treats it as a sanctioned exception rather than a fresh breach.
The answer comes back measured against what you already decided, and why.
The lane is live and open to this tool today: one box, paste anything. If it speaks MCP, Unl can reach it. Readings arrive unprompted, the data beside the criterion; Unl is a courier, not a warehouse, and keeps only your keys and the frame.
Read further
Questions people ask
Can AI check my Ramp spend against policy?
Yes, through Unl. You ratify your spend caps (per-category, per-vendor, with reasons), and the live Ramp transactions are measured against them — breaches are surfaced with the cap each one breaks.
How do I connect Ramp to Claude?
Ramp offers an MCP surface over spend, transactions and vendors. Through Unl the same spend arrives measured against your ratified caps, so it reads as breaches-with-reasons rather than a feed.
Does Unl move money or change my Ramp account?
Unl reads through Ramp, and can write back on your explicit gesture — it never acts as a side effect of a read.
What if an annual invoice covers twelve months in a single charge?
Then it lands as one large charge and reads against the per-vendor cap rather than the monthly one. Ramp holds the transaction as it was billed; that the amount covers a year is a shape you know. The read shows the charge and the period it covers wherever that is recorded, so an annual prepayment is not mistaken for a month that broke the plan.
What this is
Think inside your AI world — you stay in command
Save the thoughts, decisions and targets worth keeping, each with its reasoning, carried into every AI session the moment they matter. A new unit of exchange between you and your AI: the Settled Why with standing that travels. Unprompted.
Your whole AI world. What you decided at the epicentre. It plugs into Claude, Claude Code, ChatGPT and Cursor as an MCP connector — quick to connect, in a couple of steps.
MCP native·Human settled·Model agnostic·Your data
Measured Context
Connect Unl to bring the right information into the moment.
Your sources, read against the criteria you set.
The full product, open. Free at launch.