BFSI & FinTech Peers of PostsSubmitted August 1, 2026

SentryFlow

An MCP app on the Model Context Protocol built by Peers of Posts at the SRMIST NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

SentryFlow is an intelligent return fraud detection engine built on NitroStack by team Peers of Posts (SRMIST) to eliminate "empty-box" return scams on e-commerce platforms like Amazon Seller Central. The second a return package is scanned, SentryFlow analyzes weight discrepancies against catalog specs, computes an explainable fraud score, and gates high-value payouts for human review. Every decision is cryptographically locked in an append-only SHA-256 audit trail and high-risk cases automatically trigger pre-formatted Safe-T claim dispute emails via Resend, protecting seller revenue before refunds are cleared.

BFSI & FinTech track

Build AI solutions for banking, payments, insurance, fraud detection, lending, and financial inclusion.

Team Peers of Posts

  • Shashank Prasad

  • Prachetas Shukla

  • Vedika Choudhary

  • SURIYAA SLead

Frequently asked questions

What does SentryFlow do?
SentryFlow is an intelligent return fraud detection engine built on NitroStack by team Peers of Posts (SRMIST) to eliminate "empty-box" return scams on e-commerce platforms like Amazon Seller Central. The second a return package is scanned, SentryFlow analyzes weight discrepancies against catalog specs, computes an explainable fraud score, and gates high-value payouts for human review. Every decision is cryptographically locked in an append-only SHA-256 audit trail and high-risk cases automatically trigger pre-formatted Safe-T claim dispute emails via Resend, protecting seller revenue before refunds are cleared.
Who built SentryFlow?
SentryFlow was built by team Peers of Posts at the SRMIST NitroStack × MCP To The Moon hackathon, in the BFSI & FinTech track.
What is an MCP app and how is it built?
An MCP app is an application built on the Model Context Protocol — an open standard that lets AI agents connect to tools, data, and APIs. This project exposes MCP tools and resources that agentic AI systems can call. It was built and deployed on NitroStack, the full-stack platform for shipping MCP apps and servers.