Launching today
Prava
Payments stack for AI agents
339 followers
Payments stack for AI agents
339 followers
AI agents can browse, recommend, and decide, but they can't pay. Prava fixes that. We're the payments stack built for AI agents. Your AI can securely use a user's card or wallet to complete purchases. We've partnered with global card networks like Visa to power safe, seamless agentic payments. Live in production powering AI assistants, stylist apps, shopping agents, and more. Integrate in 4 lines of code. Today we're launching our Playground- even a non dev can experience the full flow
Prava
LeadDelta
@kaiserrr well done Sushant! What's next in the AI payment space? Is Stripe going to go after this space with their rails?
Prava
@vedranrasic Next is for sure a world where AI does most of our work- including payments. B2B AP/AR and finance use-cases are prime for disruption.
Stripe is definitely trying however for them to be able to enable agentic payments like us - they'll have to adopt a business model which will eat into their volume.
We support Agentic Payments orchestration on multiple PSPs. No incumbent would ever do that.
The whole financial stack needs re-thinking, incumbents are slow on that part or don't even care to change.
Product Hunt
Prava
@curiouskitty we were trying to build a Jarvis like AI Agent for us, this was long back in '24. We tried using our raw card details but it got blocked the moment AI tried making payments with it. It wasn't safe at all.
Built a stablecoin hack at a Singapore hackathon. Went viral on Reddit in January. Hundreds of AI builders reached out.
Then we started talking to founders @shubham_kukreti went to SF and I was in Blr- people loved our demo. Most customers we talked to were AI stylists, AI assistants, B2B ITSM tools. Three things kept coming up:
Consumer AI apps wanted users to buy inside the app, not get redirected out. But they could not enable payments. Best they could do was act as a discovery tool and hope the user came back after checkout.
B2B founders saw a future where one company hires thousands of AI agents across niches. Managing billing and payments for all of them at scale is not something you duct-tape with existing tools.
Every single founder said the same thing. Existing payment infra does not recognize AI as an actor. And the incumbents are not incentivized to fix it. For Stripe to win agentic payments, they would have to support AI paying on competing PSPs and overhaul their own system. No company does that voluntarily.
That was enough for us to go all in, crack card network partnerships and ship really really fast.
This solves a real pain point that's only going to get bigger. The trust and safety angle is what stands out to me - Passkey approvals and spending limits are exactly the kind of guardrails that will make consumers comfortable letting AI agents handle transactions. Without that layer, mass adoption of agentic commerce just won't happen.
The Visa partnership is a strong signal too. Curious about the fraud detection side - are you building proprietary models to flag anomalous agent behavior, or relying on the card network's existing infrastructure? As AI agents get more sophisticated, the attack surface for payment fraud changes pretty dramatically.
Prava
@shawn_upson Hi Shawn that's a valid point
Guardrails and trust layer is core of our product- we use both card networks new infra for AI Agents and our own proprietary models to flag any suspicious activities.
Currently we tie down each transaction to the merchant, price and product that a user has approved for.
More on that here: https://www.producthunt.com/products/prava-2?comment=5203925
Thanks for the detailed response, Sushant! The card network infrastructure approach for AI Agents sounds really solid - having those guardrails at the foundation is crucial. The proprietary fraud detection models are a smart layer on top.
Trust and verification are huge challenges we're tackling too with Kinetic Mingle (launching March 24!). We're using video verification and AI pattern analysis to eliminate catfishing in dating. Different domain but similar core principle - building trust from the ground up.
Best of luck with Prava! 🚀
Prava
@shawn_upson Thanks Shawn
Prava
@shawn_upson Thanks Shawn
Wow) This could be huge for AI assistants!
Does the user see a breakdown of what the AI is purchasing before the payment goes
through, or does the agent handle the full transaction autonomously?
Prava
@denious All transactions are explicitly approved by the user beforehand. Their execution can be immediate or deferred, depending on the use case.
For example, if you want a product right away, the agent can get your approval now and buy it immediately. If you want to approve a flight booking now but only book when the price drops below 1,000 dollars, you can do that as well.
Every transaction is tightly scoped for AI. The agent can only purchase what the user has already approved for that specific transaction, including merchant, price and product.
It cannot go beyond those parameters.
This means safety is built in from day one and the user remains in control of what is happening at all times.
you can try our playground to experience this, no setup needed: https://playground.prava.space
Prava
@denious Thanks!
Dodo Payments
How do you see Prava Payments powering the surge of AI agents with OpenClaw, Moltbook etc?
Prava
@rishabh_dodo Good Ques.
There are two ways people use OpenClaw. Through AI assistant apps, and through their own personal setups on local machines.
For AI assistant apps built on OpenClaw, we are already working with them to enable card based agentic payments. The app registers as an entity with Prava, onboards its users, and for every approved transaction the OpenClaw agent gets a tokenized card to spend from. The AI app focuses entirely on the user experience. Prava handles all the payments infrastructure and compliance behind it.
For individuals running their own OpenClaw setups on personal machines, we are building a plugin. You save and tokenize your card directly with Prava through the plugin. Your agent can then make payments on your behalf within the rules you set. You do not need to worry about PCI compliance, you do not need a registered business entity, and you do not need to build any complex payment integrations yourself.
In both cases, the core idea is the same. Prava gives every OpenClaw agent the ability to pay, safely, so builders can focus on what the agent does and not how it moves money.
Dodo Payments
@kaiserrr Super cool stuf!
Prava
@rishabh_dodo Thanks!
This is one of those infrastructure problems that's going to become massive as more AI agents go into production. Right now every agent builder is dealing with payments as an afterthought and it shows.
The Visa partnership gives this serious legitimacy. Most startups in this space are still doing hacky workarounds with virtual cards. Having actual card network backing for agent transactions is a different game entirely. What's the integration look like for someone already using Stripe for their main product?
Prava
@mihir_kanzariya Yeah, exactly. Every customer we talk to has tried hacky ways and don't find it scalable.
Card network partnership helps us build even way more secure guardrails and controls around what AI can spend. We'll expand this to more payment methods soon- wallet, BNPL etc.
If you're an AI Agent/app you can integrate us easily, our solution isn't something any PSP would be able to provide today.
If you're a merchant(seller) and use any other PSP- that's completely fine. As long as you accept Visa/MC- the card used by our AI Agents will be consumable on your PSP. And if you integrate Prava we work as a payment orchestrator above all PSPs, routing payments from AI Agents, no change required in your existing stack.
Payments for AI agents is one of those problems you don't think about until an agent needs to buy something. If agents start making purchasing decisions autonomously, the payment flow has to work differently from regular checkout. How do you handle authorization limits? Can I set a max spend per agent per day so a runaway loop doesn't drain my account? And how does refund handling work when the buyer is a bot?
Prava
@aitubespark The key is scoped payment tokens instead of giving agents your actual card details.
Each token is scoped to a specific merchant, amount, and product. A $28 pizza token from DoorDash can't be used anywhere else or for different amounts. Tokens expire in 10-15 minutes and are single-use.
For spending limits, you can set monthly mandates where agents spend within approved amounts without asking permission each time. Refunds automatically go back to your original card since tokens are generated from it and both issuer/acquirer are aware that an AI Agent made a transaction.
Hope that clarifies:)