Loomal - Monetize any MCP server in 5 minutes with no % skim.
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Loomal lets you charge for what you sell online — API calls, tools, digital products, or your whole store. One line of code (or a Shopify/WooCommerce plugin) adds an agent-ready paywall: AI agents pay you in USDC, settled in about 2 seconds, and you keep 100% of your revenue — no percentage cut, ever. Free to start, no card; flat monthly plans as you grow. Every paid listing appears on the Loomal Index, where agents discover and pay. Launch offer: first 500 sellers get 1,000 transactions free.

Replies
Congrats on the launch! If one agent gets compromised, can you shut down just its identity, or does it affect the whole account?
Loomal
@irahimiam Just that identity — that's the whole point of giving each agent its own. Every agent gets its own key and its own scoped permissions, so if one is compromised you rotate its key (the old one dies instantly), strip its scopes, or delete the identity outright. Your other agents and your account never notice.
It's the difference between cancelling one employee's badge and re-keying the building, Blast radius was the first design constraint, not an afterthought — an agent can only ever lose what that one identity was allowed to touch.
Loomal
@irahimiam @oxrajesh This is the operational win most people miss. Traditional setups: compromised credential means audit the whole system, cycle everything, hope you find what was touched. Here: one agent's key gets revoked, you have the signed receipt chain showing exactly what that identity did, and you're done. The blast radius being a design constraint from day one is why this actually works at scale.
Trying to build an AI agent platform for enterprise procurement and this solves exactly one problem that's been driving me nuts: how do you let agents call third-party APIs without embedding credentials everywhere? If an agent can just... pay for a data enrichment service and the transaction is logged and signed, that's a completely different security model than what we're doing now (which is basically controlled chaos). Curious if anyone else building agent platforms sees this the same way — is credential management the thing you're actually worried about, or is it something else?
Loomal
@abhiranjan_mehta This is exactly the shift. A stored credential is standing authorization sitting around waiting to leak. Pay-per-call flips it: nothing embedded, every request individually signed by that agent's own identity, and every settled call leaves a signed, logged receipt. Credential sprawl becomes per-call signatures.
Bonus for your setup: each agent gets its own identity, so you can rotate or kill one without touching the rest.
Loomal
@abhiranjan_mehta @oxrajesh Abhi's setup is the exact use case where this flips from "nice to have" to "required to ship." Every call signed by agent identity means your audit team gets a complete chain: who requested, which agent executed, what was called, what was paid, what came back. For enterprise procurement that's not a feature, it's table stakes. Credential sprawl was always a proxy for "we can't prove who did what" — signed calls solve the actual problem.
@dannyheng First 500 sellers get 1,000 free transactions — is that enough volume to actually validate demand for a niche API?
Loomal
@dannyheng @suyash_kr For a niche API, 1,000 is plenty. You're not trying to hit volume — you're trying to see if agents find you, pay, and come back. Even 50 real agent calls tells you more than 10k human signups, because nobody's window shopping the Index. Every call is intent. And, if you blow through 1,000 fast — that's the best problem to have 😄
Loomal
@suyash_kr @oxrajesh Rajesh nailed it — "every call is intent" is the whole thing. Honestly, you learn what you need way before 1,000: did anyone pay at all, did they come back, and which endpoint they actually wanted. That usually shows up in the first hundred calls. The 1,000 is just headroom so you're not sweating a counter while you figure it out.
Humalike
Congrats on the launch! What if people optimize to trick agents to buy something? We as humans have decent taste on what's "off" and what's scam, I feel like agents might struggle more than us no?
Loomal
@mcarmonas Agents can be tricked, just differently than humans 😄
Funny thing is, most scams that work on us don't work on agents. Countdown timers, fake urgency, flashy pages — agents don't feel FOMO. They just compare data.
What does work on agents is bad data — fake claims, inflated listings. Our take:
Sellers on the Index are verified, not anonymous
Payments are tiny and per-call — worst case an agent loses cents, not savings
Every transaction is on-chain, so agents can check a seller's real track record before paying
Not fully solved — it's a cat-and-mouse game. But "agent wastes $0.05 on a bad call" beats "human wires savings to a fake broker" 😅
Loomal
@mcarmonas @oxrajesh Marti's instinct is right though, and worth saying plainly: agents don't have taste. What they have instead is memory. A human gets fooled by the same trick twice, an agent that got burned routes around that seller forever, and so does every agent reading the same track record. Reputation built on settled payments is our version of taste. Slower to fool, faster to punish.
the failed-call refund gap Rajesh mentioned below is one thing, but the scarier version is a hijacked or misconfigured agent making a bunch of legitimate-looking purchases nobody authorized - since USDC settlement is instant and final, is there any dispute window on the seller side, or is "the agent's wallet, the agent's problem" the actual model for now?
Loomal
@galdayan yes, USDC settlement is final — there's no chargeback rail like cards. We're not going to pretend otherwise.
Our model is prevention over dispute, because the dispute layer doesn't exist yet on-chain:
Spend mandates. Every agent wallet operates under a policy — per-transaction caps, daily limits, allowed categories. A hijacked agent can't drain a wallet; it hits the ceiling fast.
Small blast radius by design. Payments are per-call micropayments, not lump sums. "A bunch of unauthorized purchases" on Loomal looks like dollars, not thousands.
Instant revoke. The human can kill a mandate the moment something looks off — the agent's spending power dies immediately, no bank call needed.
So the real answer to "the agent's wallet, the agent's problem?" — it's "the mandate's problem." The human sets the boundaries of what they're willing to lose, upfront, instead of disputing after the fact.
Longer term we think a dispute/escrow layer emerges for bigger-ticket agent purchases. For sub-dollar API calls, the economics of mandates + caps work better than chargebacks ever did — card disputes cost merchants $15+ to process a $0.10 problem.
@oxrajesh the mandate framing clicks - moving the risk decision to setup time instead of dispute time is a much cleaner model than trying to bolt a chargeback system onto micropayments. small blast radius by design is probably the more honest sales pitch too, most fraud prevention is really just capping the downside rather than actually preventing anything
Loomal
@galdayan Exactly — capping downside is the honest pitch. Cards pretend to prevent fraud, then eat losses through fees everyone pays. We'd rather you set your max loss upfront and keep 100% of revenue. Appreciate the sharp read 🙏
Loomal
@oxrajesh @galdayan Loving this thread. One thing from the sales side of my brain: this exact conversation is what every risk and compliance buyer will ask before letting agents spend real money, and "set your max loss upfront" is an answer they already understand. It's how corporate cards work. Spend policy, per card limits, instant freeze. We didn't invent a new trust model, we ported the one finance teams already run, minus the part where disputes cost more than the transaction. Gal, your framing of moving the risk decision to setup time is going straight into how I explain this. 🙏
GrowMeOrganic
How difficult was it to make MCP servers agent-ready without forcing developers to redesign their existing APIs?
Loomal
@iamanantgupta The hardest part was making the payment layer sit cleanly around existing MCP tools without changing how they work. Loomal handles the x402 payment handshake, verifies the agent’s authorization, settles the USDC payment, and returns a signed receipt.
That means developers can wrap the MCP server or endpoint they already have, set a price per call, and avoid redesigning their underlying API.
Loomal
@iamanantgupta @dannyheng The trick was picking the right layer of the stack. Payment lives at the transport level — a standard HTTP 402 challenge before your handler ever runs — not inside your API's business logic. Your code doesn't know or care that it's paid; it just never gets invoked until settlement clears.
That's why there's no redesign: middleware in, price set, done. The hard engineering was everything behind that one line — verify-before-settle, single-use authorizations, signed receipts — so the seller-facing surface could stay boring.
Any plans to support currencies beyond USDC as more stablecoins and payment networks mature?
Loomal
@divya_kothari1 For sure! We’re starting with USDC on Base because it gives us a simple, predictable settlement layer while we validate the core workflow. As stablecoin standards and payment networks mature, we expect to support additional currencies and chains based on developer demand, liquidity, and reliability.
Loomal
@divya_kothari1 @dannyheng Small architecture note on that: the expansion path is already built in. Every seller wallet uses the same address on every EVM chain, and the payment protocol itself is currency-agnostic — the challenge just declares what asset and network it accepts. So adding a new stablecoin or chain is configuration for us, not a migration for you. Nobody re-integrates.
We started with USDC on Base for one reason: when you're asking people to trust a new payment rail, "simple and predictable" beats "flexible" — multi-currency day one would've meant multi-currency edge cases day one
Are developers able to define different pricing models like subscriptions, usage tiers, or one-time purchases? Congratulations.
Loomal
@zerotox Thank you! Currently, Loomal supports one-time purchases. We plan to add more flexible pricing models, as the platform evolves.
Loomal
@zerotox @dannyheng Worth unpacking why per-call came first, because it's a deliberate bet and not just an MVP shortcut: subscriptions are largely a workaround for card economics. When every charge costs 30¢ + a percentage, you have to bundle usage into monthly plans and make humans commit up front. That's pricing designed around the payment rail's limitations, not the buyer's needs.
Agents don't want to commit — they want to pay for exactly one answer, right now, and move on. Instant per-call settlement is the agent-native pricing model, so that's the primitive we built first. Pricing is one field on your listing, floor of $0.01 per call.
Tiers and subscriptions get interesting again when agents become repeat customers negotiating volume — and the nice thing is they compose on top of a per-call primitive, not the other way around.
The idea of agents buying APIs directly feels strange today, which usually means the idea is still early but definitely something that's gonna happen.
Loomal
@ragsyme Exactly. It feels unusual because most infrastructure is still designed around humans signing up, managing keys, and approving payments. As agents become more autonomous, discovering and paying for the tools they need will start to feel like the natural next step. We think that inflection point is coming sooner than most people expect.
Loomal
@ragsyme @dannyheng The funny thing is machines already buy from machines — we just don't call it that. Every API subscription is machine-to-machine service delivery where only the billing got routed through a human: someone signs up, pastes a card, provisions a key, and then software talks to software a million times. Agents paying directly doesn't create a new kind of transaction — it removes the one manual step left in an already-automated loop.
That's why we think "strange" fades fast here. Same arc as e-commerce in the 90s: typing your credit card into a website felt reckless right up until it felt normal. The trust infrastructure showed up, and behavior flipped within a few years.
We're just trying to be the boring plumbing that's already there when it flips.
ConnectMachine
Congrats on shipping. One dashboard showing revenue, agent traffic, and transaction trends would make this even more valuable.
Loomal
@syed_shayanur_rahman Thanks! Agreed — analytics is where a lot of the value compounds.
Today the dashboard shows revenue and which resource each payment came from, so you can already see what's selling. Agent traffic patterns, transaction trends, repeat-buyer views — that's coming in upcoming releases. Analytics is one of the most-requested things from early sellers, so it's high on the list.
Anything specific you'd want to see beyond those three? Genuinely shapes what we build next.
Loomal
@syed_shayanur_rahman @oxrajesh One thing beyond those three: repeat-buyer rate per agent. A seller doesn't care about raw traffic if half the agents call once and ghost. But "which agents came back, how often, what did they spend per return visit" — that's the signal that predicts whether your endpoint actually solves problems or just got lucky. That's the number that tells you whether to double down or pivot.