Agentic Commerce Hackathon

Projects with the best user experience will win a Mac Mini

Best Agentic User Experience

Mac Mini

Best Implementation of Prava. Awarded with OpenAI credits & Visa cash prize

Finalists

OpenAI

PARTCIPATION CREDITS HAVE BEEN ALREADY CLAIMED BY YOU

Each participant of the Hackathon will be awarded **$100 in credits before the hackathon begins.** Only for the approved participants. More details will be shared after your application is approved

Participation Credits (Already Claimed)

$100 Participation Credits (Already Claimed)

Winners and Finalists of the hackathon will be awarded **OpenAI credits** along with Cash Prizes. More details will be announced with detailed track announcements. 

Hackathon Winner

Second Place

Third Place

Fourth Place

Fifth Place

Visa

Best projects implementing VIC using Prava will be rewarded **Cash Prizes**

***Note: If you're integrating Prava in your project, you'll be by default eligible for the VIC track.***

Best Visa Intelligent Commerce Implementation

Linq

 Linq is an API to send and receive iMessages, RCS, & SMS. We support group chats, reactions, read receipts, FindMy, iMessage Apps, and payments. **We power agents like Poke, Tomo, Lindy AI, and more.**

Use-case:** Build your favorite AI or app in iMessage! **Examples include: personal assistant, accountability app, fitness coach, prediction market interface, & book dining reservations.

[X](https://x.com/thelinqapp?s=20 ) | [Website](https://linqapp.com/ )

iMessage Agent

Winner Linq Track: Cash Prize

Winner Linq Track: Linq Credits

Runner-up Linq Track: Linq Credits

Third Place Linq Track: Linq Credits

Localhost

Best product which are using Prava and most startup ready will be awarded **$5000 in anthropic credits by Localhost.** Winners will be evaluated based on product readiness, customers, pitch, revenue and virality/network effects. This will be awarded separately from the awards for top 3 winners.

Most Startup-Ready Product

Anthropic Credits

Project Nanda

[Project NANDA](https://projectnanda.org/) is an initiative by [Prof. Ramesh Raskar](https://en.wikipedia.org/wiki/Ramesh_Raskar) of MIT Media Lab.  


[https://nandatown.projectnanda.org/pravahack](
https://nandatown.projectnanda.org/pravahack)

The primary challenge would be to build a reliable and reusable Prava payments adapter for [NANDA Town](https://nandatown.projectnanda.org/), enabling agents to quote, pay, verify transactions, and handle failures using Prava’s Agentic Payments Sandbox.

Teams can go further by using their adapter to run commerce simulations involving autonomous buyers, sellers, negotiations, budgets, retries, and other real-world payment conditions.

We would evaluate submissions on:

> Quality and reliability of the adapter
>Security, authorization, and failure handling
>Ease of installation and reuse
>Successful Prava sandbox transactions
>Quality of any agentic-commerce scenarios or simulations built on top

The strongest submission should make it easy for future NANDA Town builders to use Prava as a payment layer. More [here](https://nandatown.projectnanda.org/pravahack)

Best Prava Adapter for the NANDA Town

OpenAI Credits

Senso

Build an agent that uses Senso as a trust/discovery signal in an agentic commerce flow—helping the agent choose which brand or merchant to engage with, based on verified sources.

All developers can sign up at docs.senso.ai and will automatically have $100 USD in credits issued.

Winners will be awarded $7.5k in Senso credits. 

These credits are:
>Valid for 6 months from the hackathon event
>Non-transferable
>Not redeemable for cash
>Usable within the Senso platform

Agentic Commerce Hackathon

Agentic Commerce Hackathon