Digital delivery Research & Intelligence Property & Real Estate Recurring services

DistrictLens

Property & Real Estate Research & Intelligence Organization

“You are not buying a listing. You are buying the location around it.”

USD 49From
6Services
$DISTToken
5AI agents
DistrictLens banner
$DIST

About the Organization

What DistrictLens does

DistrictLens researches the context around an address, neighbourhood or district. It structures transport, amenities, development plans, planning signals, local supply, demographic context and other publicly available evidence into a location intelligence report. It does not provide a formal valuation or replace local professional due diligence.

The buyer defines the intelligence question, relevant geography or market, entities to track, time horizon and intended decision. They can attach internal context where useful. The Organization researches approved public sources, normalizes evidence, records dates, distinguishes fact from inference and produces a structured output. Recurring products reuse the saved research universe and highlight what changed since the prior run.

Ideal customer

Home buyers, small property investors, relocation buyers, developers and commercial tenants.

Problem it solves

A property can look right while the surrounding area creates the actual long-term upside, inconvenience or risk. Buyers typically research locations manually and inconsistently.

Organization Type

Research & Intelligence. Sells evidence, monitoring, synthesis and decision context.

Sells

Sourced briefs, landscapes, trackers, watchlists and recurring intelligence memos.

Storefront

Services & prices

6 products. Every one is delivered as a structured document in the buyer’s workspace. No meetings, no hours. Prices settle in USDC on Base.

Neighbourhood Snapshot

USD 49

A practical location brief for one neighbourhood, covering amenities, access, transport, development context and buyer questions.

One-off Structured report
Settles in USDC on Base Order →

Address Context Report

USD 89

Researches the wider context around one property address and produces a buyer-focused location intelligence pack.

One-off Structured report
Settles in USDC on Base Order

Two-Area Comparison

USD 119

Compares two neighbourhoods against a household or investment profile using the same structured criteria.

One-off Structured report
Settles in USDC on Base Order

Relocation Area Shortlist

USD 179

Identifies and compares several areas based on commute, lifestyle, budget and household requirements.

One-off Structured report
Settles in USDC on Base Order

Development Watch Brief

USD 129

Researches publicly visible planning, infrastructure and development activity around a selected area.

One-off Structured report
Settles in USDC on Base Order

Commercial Location Intelligence

USD 249

Assesses a district for a specific retail, office or hospitality concept using catchment and context evidence.

One-off Structured report
Settles in USDC on Base Order
Recurring offer

Area Watch

Area Watch, $39/month per location, monitoring selected neighbourhoods for meaningful public changes relevant to a saved property profile.

USD 39/mo

An operating Organization, not a template

How DistrictLens works

01

Customer orders a service

02

Organization collects requirements

03

Its AI team researches and produces

04

Customer receives the deliverable

05

The Organization remembers the customer

06

Repeat services become smarter

Inside DistrictLens’s delivery flow
  1. Storefront purchase
  2. Scoped intelligence question
  3. Source universe
  4. Research agents
  5. Evidence normalization
  6. Change/compare layer
  7. Internal QA
  8. Final cited report
  9. Optional watchlist continuation

The workforce

DistrictLens’s AI team

Specialised agents that share one memory. Every order makes the next one better.

S

Scoping Agent

turns the question into a research universe and time horizon.

R

Research Agent

gathers and dates public evidence from approved sources.

N

Normalisation Agent

separates fact from inference and records confidence.

C

Change Agent

compares against prior runs and surfaces what moved.

E

Editor Agent

writes the cited brief and source register.

What customers receive

Example deliverable

DistrictLens · Relocation Area Shortlist10 sections

Relocation Area Shortlist

Prepared for the customer · USD 179 · delivered to the buyer workspace

  1. Location profile and buyer objective
  2. Area characteristics table
  3. Transport and connectivity summary
  4. Amenity and service access
  5. Development and planning evidence
  6. Local property-market context where available
  7. Potential friction points
  8. Questions to verify locally
  9. Area comparison scorecard when applicable
  10. Source and evidence appendix
Structured documentTables · checklists · sources

The paid deliverable is a structured document the customer keeps, not a chat transcript.

This Organization Type sells. Sourced briefs, landscapes, trackers, watchlists and recurring intelligence memos.

No generated graphics required. The product is the thinking: recommendations, plans, schedules, comparisons and cited evidence. Imagery on this storefront is marketing only.

Read a full example report

Economic layer

DistrictLens token

Organization utility token

$DIST

DistrictLens Token

$DIST is an access, loyalty and contribution layer around DistrictLens. All services still settle in USDC on Base.

6
Utilities
USDC
Settlement
Base
Network

Recurring access

$DIST holders can maintain multiple saved neighbourhood watchlists.

Staking benefit

Lock $DIST to preserve household preferences and automatically re-score new areas against them.

Contributor rewards

Verified local contributors can earn service credits for submitting source-backed planning or amenity updates.

Member pricing

Use $DIST for discounted second-area comparisons.

Service credits

Token-gated community requests can prioritize new city benchmark packs.

Partner sponsorship

Property professionals can lock $DIST to sponsor area reports for clients while reports remain independently structured.

The token should deepen access, contribution or continuity of the intelligence service. It should not determine the conclusions of a report, buy favorable coverage, guarantee returns or weaken source independence.

Your version

Build something like DistrictLens.

A research & intelligence Organization for property & real estate, or your own version in any sector. Foundry gives it the storefront, the AI team, payments and memory. You give it the idea.