Think inside your AI world.
A pricing move, against a position you took
Competitor pricing pages change quietly and constantly: new tiers, quiet increases, packaging tweaks, most of it irrelevant to how you actually win. What you actually need is the move that lands on a pricing position you took — the reason you set your price where you did — and that is a line the feed cannot hold, because the position is yours.
Read a competitor’s pricing through Unl and the whole change stream arrives measured against the position you settled — so instead of a diff to interpret, you get the single move that lands on the reason you priced as you did, with why it crosses. The one, not the thousand.
What a competitor’s public pricing page publishes
A competitor’s pricing is public and telling, and there is a lot of it:
- Tiers, packaging and quiet increases changing across the whole market
- Every change at once, the one that touches your position beside the ones that do not
- Competitors and adjacents, almost none of whom price against you the way you assume
- No idea which move lands on a position you took — that context is not on the page
The line the feed can't hold
Say you took a pricing position and named the reason: we hold a premium because we sit clearly above the field on the one axis buyers pay for; if a competitor closes that gap while undercutting us, the reason I set our price no longer holds. That reasoning is a decision you made; it is not a field the pricing page models.
The reason the line is yours is the whole point. A pricing-watch feed can diff every page; it cannot know the position you took, or the reason you took it, or that a cosmetic tier change is noise to you while the one move that undercuts you on the axis you charge a premium for is a direct hit.
The frame judges the data it is given; it does not verify the source’s accuracy.
The one that crosses
So when a competitor makes the exact move that presses the reason you priced as you did, it crosses — and the other pricing changes that quarter do not. Through Unl the answer arrives as a verdict: the competitor just closed the gap you charge a premium for and priced under you, so the position you took no longer holds as reasoned — here is the change, read against your strategy. Same public page; a decision instead of a digest.
You didn't ask — it was already there
You did not ask for it. The position you took was already recorded, so the next time you open Claude the crossing is already in the window — read against the reason you priced as you did, with the reason it cleared it — rather than waiting for you to re-check their pricing page. You author the position once; the read applies it every time they re-price.
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.
Questions people ask
How is this different from a pricing-monitor alert or a change feed?
An alert fires on the source’s rule — a price changed, a page diffed. This fires on YOUR rule: the specific position you took, the reason behind it, and the move that would undercut it, with the reasoning attached. The feed shows you every change; the measured read shows you the one that presses a position you actually took, and why.
Do I get pinged the moment a competitor re-prices?
The capability is that the crossing arrives measured against your position the next time you are working — it is already in the window, read against the reason you priced as you did, rather than a stream you monitor. A scheduled push is a separate delivery; what the read guarantees is that when a pricing move undercuts the position you took, it surfaces as a verdict against your strategy, not as one more page diff.
Does Unl change anything on the competitor’s page or in my pricing?
Unl reads through the competitor’s public pricing, and can write back on your explicit gesture — it never acts as a side effect of a read. The pricing is a public page; the position you took lives in Unl; the read joins them and returns a verdict, altering neither.
What this is
Think inside your AI world — you stay in command
Unlimitless (Unl to friends) holds what you've settled, reads what your tools are showing, and catches what's changed out in the world — and hands your AI whatever bears on the work, the moment it's needed, without you asking. The right thing, in front of the model, unprompted, with you in command of the call. So you keep moving toward what you set out to build, on top of everything you've already decided.
It plugs into Claude, Claude Code, ChatGPT and Cursor as an MCP connector. Quick to connect, in a couple of steps.
Unlimitless is open now to invited Alpha. Apply for the Beta waitlist to come in ahead of the full launch:
Alpha is invite-only · free at launch.