Sect8 is the AI agent that finds Section 8 deals and analyzes them before you buy using 0G Compute, 0G Storage, and 0G Chain.
Sect8 is an AI real estate agent for Section 8 investing. It scans live property listings, pulls verified external property and rental data, runs underwriting for projected cash flow, cap rate, and ROI, and generates an investment memo for each property.
The product uses multiple real external data tools in the workflow:
RentCast for live property listings and listing-level market data,
HUD FMR data for voucher-aligned rent benchmarks,
ATTOM for parcel, ownership, tax, deed, and environmental context,
FCC and ZIP metadata services to map ZIP codes to county-level housing data,
and 0G infrastructure for compute, storage, and onchain agent creation.
Sect8 is built around 0G in a real product flow. We use 0G Compute to generate property analysis, 0G Storage to persist agent memory and analysis records, and a deployed 0G smart contract to create and register user agents onchain. When a user creates an agent, the app prepares the initial memory state, initializes the agent through the deployed Sect8AgentManager contract, and then finalizes the record with the onchain token id, transaction hash, and storage roots.
Our goal is to make Section 8 property acquisition easier for investors by combining real external housing data with agent-driven analysis in one workflow.
During the hackathon we moved the project from a prototype into a product backed by real external data sources and real 0G infrastructure.
We replaced fake or misleading content with real-source data and made those sources explicit in the product workflow:
RentCast for live sale listings,
HUD for fair market rent benchmarks,
ATTOM for ownership, parcel, tax, sale history, and risk context,
and county/ZIP resolution services to connect properties to local housing authority and voucher data.
We also added underwriting calculations for projected cash flow, cap rate, and ROI, integrated 0G Compute for analysis generation, used 0G Storage for persistence, and deployed the Sect8AgentManager contract on 0G Mainnet.
We then wired the actual create-agent flow to the deployed contract so the onchain element is part of the real user journey, not just a side deployment. The app now requires onchain agent initialization, stores the resulting token id and transaction hash, and restores only agents with verified onchain activation. We also improved the memory flow so verified analyses shown in the dashboard are backed by persisted storage roots.
On the product side, we improved the property analysis experience by moving it into a staged agent-analysis session, removing misleading empty loading sections, and tightening slow external fetch behavior so the app fails fast instead of hanging on delayed data providers.
Not currently fundraising.