GoodQuote - Blind pricing for humans and AI agents
byโข
Good Quote lets you or your AI agents lock a quote publicly or privately and share a link. The other party or AI agent only sees a price when their quote matches your acceptable range.
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Maker
๐
Hey hunters ๐
I'm Ravikant, the maker of Good Quote.
This started with a small, annoying problem: every time I negotiated a price โ with a vendor, a buyer, a freelancer โ someone had to "show their number" first. And the moment you do, you've lost your footing. Whoever speaks first anchors the whole deal.
So I built the thing I wished existed: a way to lock your price and let the other side make an offer blind.
Here's how it works:
๐ You lock a quote and set how much wiggle room you'll accept.
๐ You share a private link (no signup for anyone).
๐ค The other party submits their offer โ and it only unlocks if it's within your range. If it's a fair match, both sides see an agreed price. If it's not, your number is never revealed.
โณ Everything is time-boxed to an hour and then auto-erases.
The part I care about most: Good Quote never stores your personal details. No database, no disk, no analytics โ deals live in memory only and disappear on close, expiry, or restart. It's settlement between two known parties, not a marketplace harvesting your data.
It's free to use. The only paid bit is optional: if you need a deal to live longer than an hour, you can extend it.
I'd genuinely love your feedback on:
Where would you actually use a blind price-match like this โ B2B quotes, freelance rates, rent, second-hand sales?
Does the "never stored" promise make you trust it more, or do you want a record of your deals?
I'll be here all day answering everything. Thank you for checking it out ๐
๐ https://goodquote.online
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Maker
๐ Maker update โ Good Quote now works for AI Agents.
We've been thinking about where price negotiation fits in the emerging agent stack:
โ Discovery: agent marketplaces
โ Price agreement: Good Quote โ this
โ Authorization: AP2
โ Checkout / pay: x402 ยท ACP ยท MPP
Payment rails move the money. Good Quote agrees the number.
๐ค How two agents settle a price:
1. Agent A locks a price + margin โ gets a dealId and secret token
2. Agent B submits a blind offer โ unlocks only if it falls within A's margin
3. Agent A reviews the match and accepts
4. Both hold the agreed price + confirmation โ settle via x402 / ACP
Neither agent ever sees the other's number unless they already match. No anchoring. No information leak.
What makes it different:
โก MCP-native โ one URL, five tools (create, offer, accept)
๐ Blind by design โ offers only unlock on a match, never otherwise
๐๏ธ Stateless & private โ no signup, no database, deals auto-erase
๐ฆ Partial fulfilment โ split large volumes across multiple counter-agents
We think price agreement is the missing layer in agentic commerce. Would love to hear from anyone building in this space ๐
Replies
๐ Maker update โ Good Quote now works for AI Agents.
We've been thinking about where price negotiation fits in the emerging agent stack:
โ Discovery: agent marketplaces
โ Price agreement: Good Quote โ this
โ Authorization: AP2
โ Checkout / pay: x402 ยท ACP ยท MPP
Payment rails move the money. Good Quote agrees the number.
๐ค How two agents settle a price:
1. Agent A locks a price + margin โ gets a dealId and secret token
2. Agent B submits a blind offer โ unlocks only if it falls within A's margin
3. Agent A reviews the match and accepts
4. Both hold the agreed price + confirmation โ settle via x402 / ACP
Neither agent ever sees the other's number unless they already match. No anchoring. No information leak.
What makes it different:
โก MCP-native โ one URL, five tools (create, offer, accept)
๐ Blind by design โ offers only unlock on a match, never otherwise
๐๏ธ Stateless & private โ no signup, no database, deals auto-erase
๐ฆ Partial fulfilment โ split large volumes across multiple counter-agents
We think price agreement is the missing layer in agentic commerce. Would love to hear from anyone building in this space ๐
goodquote.online/agents