Market analysis, climate risk scoring, and Fair Housing-safe tooling for everyone.
7 Core Modules · 7 Reference Pods · 85+ Data Sources · Zero Protected-Class Proxies
"Housing intelligence should be accessible to everyone
— not just those who can afford enterprise subscriptions."
- The Problem
- How It Works
- Core Modules
- Reference Pods
- Quick Start
- Platform Architecture
- Key Workflows
- Scoring Frameworks
- Data Sources
- Fair Housing Compliance
- Repository Structure
- FAQ
- CoTrackPro Ecosystem
- Contributing
- License & Contact
Housing decisions are some of the highest-stakes financial choices people make, yet the data that drives them is fragmented across dozens of systems — MLS, tax records, climate models, permit databases, and demographic forecasts.
flowchart LR
subgraph FRAGMENTED ["❌ TODAY: Fragmented Data"]
direction TB
A1["MLS Listings"]
A2["Tax Records"]
A3["Climate Models"]
A4["Permit Databases"]
A5["Demographic Forecasts"]
A6["Zoning Codes"]
end
subgraph UNIFIED ["✅ ACCESS TO HOUSING: Unified Intelligence"]
direction TB
B1["📊 Structured Analysis"]
B2["⚖️ Fair Housing Safe"]
B3["📍 Cited Sources"]
end
FRAGMENTED -->|"7 Core Modules\n7 Reference Pods"| UNIFIED
style FRAGMENTED fill:#fef2f2,stroke:#ef4444
style UNIFIED fill:#ecfdf5,stroke:#10b981
Real estate professionals, first-time homebuyers, housing advocates, and community planners need intelligence tools that are:
- Comprehensive — not siloed by data type
- Compliant — safe under Fair Housing law
- Accessible — no enterprise budget required
Access to Housing is a Claude Custom Skill that acts as your PropTech intelligence analyst. Ask a question, and the platform matches it to the right analytical framework, pulls from authoritative data sources, and delivers cited, structured analysis.
flowchart LR
A["🗣️ Your Question"] --> B["🧠 Module Selection"]
B --> C["📡 Data Sources\n(85+ APIs & Databases)"]
C --> D["⚖️ Fair Housing\nCompliance Check"]
D --> E["📊 Structured\nAnalysis Output"]
style A fill:#3b82f6,stroke:#1e40af,color:#fff
style B fill:#8b5cf6,stroke:#6d28d9,color:#fff
style C fill:#f59e0b,stroke:#d97706,color:#fff
style D fill:#10b981,stroke:#059669,color:#fff
style E fill:#ef4444,stroke:#dc2626,color:#fff
Every output includes: signal summary, key findings with evidence, methodology transparency, data caveats, and actionable next steps.
flowchart TB
subgraph USERS ["👥 PLATFORM USERS"]
direction LR
U1["🏠 First-Time\nHomebuyers"]
U2["💼 Real Estate\nProfessionals"]
U3["📈 Investors &\nFund Managers"]
U4["🏘️ Housing\nAdvocates"]
U5["🏗️ Community\nPlanners"]
end
subgraph QUESTIONS ["❓ THEIR QUESTIONS"]
direction LR
Q1["Is this neighborhood\nsafe and livable?"]
Q2["Where is the\nmarket heading?"]
Q3["What's the best\ninvestment opportunity?"]
Q4["Are residents being\ndisplaced?"]
Q5["Where should we\ninvest infrastructure?"]
end
subgraph MODULES ["🧩 MODULES THAT ANSWER"]
direction LR
M1["Module 4\nLivability Score"]
M2["Modules 2-3\nSupply Forecast"]
M3["Module 7\nOpportunity Scanner"]
M4["Community Trust\nDisplacement Warning"]
M5["Module 5\nInfrastructure Heatmap"]
end
U1 --- Q1 --- M1
U2 --- Q2 --- M2
U3 --- Q3 --- M3
U4 --- Q4 --- M4
U5 --- Q5 --- M5
style USERS fill:#eff6ff,stroke:#3b82f6
style QUESTIONS fill:#fefce8,stroke:#ca8a04
style MODULES fill:#f0fdf4,stroke:#16a34a
|
|
flowchart TB
subgraph DETECT ["🛰️ DETECTION LAYER"]
M1["Module 1\nSatellite Detection"]
M2["Module 2\nPermit Intelligence"]
end
subgraph FORECAST ["📈 FORECASTING LAYER"]
M3["Module 3\nSupply Forecast\n(Bear / Base / Bull)"]
end
subgraph SCORE ["🎯 SCORING LAYER"]
M4["Module 4\nLivability Score"]
M5["Module 5\nInfrastructure Heatmap"]
M6["Module 6\nClimate Migration"]
end
subgraph DECIDE ["💰 DECISION LAYER"]
M7["Module 7\nOpportunity Scanner"]
PB["📋 Platform Brief\nConverged Analysis"]
end
M1 --> M3
M2 --> M3
M3 --> M7
M4 --> M7
M5 --> M7
M6 --> M7
M7 --> PB
style DETECT fill:#dbeafe,stroke:#3b82f6
style FORECAST fill:#fef3c7,stroke:#f59e0b
style SCORE fill:#d1fae5,stroke:#10b981
style DECIDE fill:#fce7f3,stroke:#ec4899
Modules feed upward — detection informs forecasts, scoring informs opportunity ranking, and everything converges in the Platform Brief.
flowchart LR
L["🏘️ LOCAL\nNeighborhood\nLivability Score\nCommunity Trust"]
R["🏙️ REGIONAL\nInfrastructure\nHeatmap\nPermit Intelligence"]
N["🇺🇸 NATIONAL\nSupply Forecast\nClimate Migration\nMarket Analytics"]
G["🌍 GLOBAL\nOpportunity Scanner\nGlobal HPI\nCapital Flows"]
L --> R --> N --> G
style L fill:#dbeafe,stroke:#3b82f6
style R fill:#e0e7ff,stroke:#6366f1
style N fill:#ede9fe,stroke:#8b5cf6
style G fill:#f5f3ff,stroke:#7c3aed
Seven specialized pods extend the core modules with deep analytical frameworks:
| Pod | Modules | Key Frameworks |
|---|---|---|
| Market Intelligence | 16 | Pricing trends, absorption rates, inventory analysis, demographic forecasting, housing cycles, affordability indices, migration tracking |
| Investment & Deal | 16 | Opportunity scanning, underwriting, portfolio analysis, capital flows, development feasibility, MLS analytics, syndication |
| Risk & Climate | 6 | Flood/fire/heat/hurricane risk scoring, insurance market health, construction risk, zoning compliance, tenant screening |
| Property Intelligence | 10 | AVM, valuation modeling, neighborhood scoring, infrastructure heatmaps, pricing strategy, listing performance, rental intelligence |
| Brokerage Ops | 18 | CRM health, lead generation, pipeline management, buyer/seller workflows, transaction management, marketing, client experience |
| Brokerage Strategy | 10 | Brokerage growth modeling, recruiting, financial modeling, strategic planning, KPI reporting, agent development pathways |
| Community Trust | 6 | Civic transparency tracking, community-reported conditions, displacement early warning, government accountability, neighborhood resources, engagement guide |
pie title Module Distribution Across Pods
"Market Intelligence" : 16
"Investment & Deal" : 16
"Brokerage Ops" : 18
"Property Intelligence" : 10
"Brokerage Strategy" : 10
"Risk & Climate" : 6
"Community Trust" : 6
1. Download the .skill file from Releases
2. Claude.ai → Settings → Custom Skills → Upload
3. Start asking questions
Try these prompts:
| Prompt | Module Triggered |
|---|---|
| "Run a neighborhood livability score for Clayton, MO" | Module 4 |
| "What's the permit pipeline in north St. Louis County?" | Module 2 |
| "Score Denver vs. Nashville as investment markets" | Module 7 |
| "Climate migration risk assessment for coastal Florida" | Module 6 |
| "Where is infrastructure spending signaling future growth?" | Module 5 |
| "12-month housing supply forecast for Austin, TX" | Module 3 |
| "What zoning decisions has the city council made this year?" | Community Trust Pod |
| "Displacement risk assessment for East Nashville" | Community Trust Pod |
| "How responsive is code enforcement in my city?" | Community Trust Pod |
Browse the full platform documentation at dougdevitre.github.io/access-to-housing — searchable, mobile-friendly, with navigable reference pods and resource pages.
Browse the references/ directory directly — each pod contains scoring rubrics, data source recommendations, output templates, and methodology notes you can use independently.
Building on top of Access to Housing? These resources are designed for integration and automation.
flowchart LR
subgraph DEFINE ["📋 Define"]
A1["Output Schemas\n(JSON Schema 2020-12)"]
end
subgraph CONNECT ["🔌 Connect"]
B1["API Reference\n(85+ sources by auth tier)"]
end
subgraph BUILD ["🏗️ Build"]
C1["Integration Patterns\n(Free / Community / Full)"]
end
subgraph VALIDATE ["✅ Validate"]
D1["Fair Housing\nCompliance Check"]
end
DEFINE --> CONNECT --> BUILD --> VALIDATE
style DEFINE fill:#dbeafe,stroke:#3b82f6
style CONNECT fill:#fef3c7,stroke:#f59e0b
style BUILD fill:#d1fae5,stroke:#10b981
style VALIDATE fill:#ede9fe,stroke:#8b5cf6
| Resource | Path | What It Contains |
|---|---|---|
| Output Schemas | assets/output-schemas.md |
JSON Schema definitions for Livability, Opportunity Scanner, Displacement, Accountability, Conditions, Platform Brief |
| API Reference | assets/api-reference.md |
85+ sources organized by auth type — endpoints, rate limits, 3 integration patterns |
| Glossary | assets/glossary.md |
40+ term definitions for building user-facing interfaces |
| Example Prompts | assets/example-prompts.md |
Test cases for every module — input prompts with expected output structure |
| CLAUDE.md | CLAUDE.md |
Repo context for Claude Code — architecture decisions, file sync points, conventions |
flowchart TB
subgraph INPUT ["USER INPUT"]
Q["User Query"]
end
subgraph ENGINE ["ANALYSIS ENGINE"]
MS["Module Selector"]
FH["Fair Housing\nValidator"]
end
subgraph DATA ["DATA LAYER"]
direction LR
D1["Census &\nPermits"]
D2["Zillow &\nRedfin"]
D3["First Street\nClimate"]
D4["Walk Score\n& Transit"]
D5["FHFA &\nCase-Shiller"]
D6["IRS Migration\n& ACS"]
end
subgraph ANALYSIS ["ANALYTICAL FRAMEWORKS"]
direction LR
CORE["7 Core\nModules"]
PODS["7 Reference\nPods"]
end
subgraph OUTPUT ["STRUCTURED OUTPUT"]
SIG["Signal Summary"]
FIND["Key Findings\nwith Evidence"]
CAV["Data Caveats\n& Confidence"]
NEXT["Actionable\nNext Steps"]
end
Q --> MS
MS --> FH
FH -->|"✅ Compliant"| DATA
FH -->|"🚫 Redirect"| RD["Fair Housing-Safe\nAlternative Provided"]
DATA --> ANALYSIS
ANALYSIS --> OUTPUT
style INPUT fill:#eff6ff,stroke:#3b82f6
style ENGINE fill:#f5f3ff,stroke:#8b5cf6
style DATA fill:#fffbeb,stroke:#f59e0b
style ANALYSIS fill:#ecfdf5,stroke:#10b981
style OUTPUT fill:#fef2f2,stroke:#ef4444
flowchart LR
A["🔍 Market\nScreen"] --> B["📋 Supply\nCheck"]
B --> C["🌡️ Risk\nScreen"]
C --> D["💲 Valuation\nModel"]
D --> E["📊 Deal\nUnderwriting"]
E --> F{"Go / No-Go"}
F -->|"Go"| G["✅ Proceed"]
F -->|"No-Go"| H["❌ Pass"]
A -.- M7["Module 7"]
B -.- M23["Modules 2-3"]
C -.- M6x["Module 6 +\nRisk Pod"]
D -.- PP["Property\nPod"]
E -.- IP["Investment\nPod"]
style F fill:#fbbf24,stroke:#d97706,color:#000
style G fill:#10b981,stroke:#059669,color:#fff
style H fill:#ef4444,stroke:#dc2626,color:#fff
flowchart LR
A["📍 Define\nLocation"] --> B["🎯 Livability\nScoring"]
B --> C["📈 Trend\nAnalysis"]
C --> D["🔄 Compare\nNeighborhoods"]
D --> E["✅ Final\nSelection"]
B -.- M4["Module 4\n0-100 Score"]
C -.- M5["Module 5\nInfrastructure"]
D -.- M7["Module 7\nOpportunity"]
style A fill:#dbeafe,stroke:#3b82f6
style E fill:#d1fae5,stroke:#10b981
flowchart LR
A["🌍 Select\nRegion"] --> B["🌊 Hazard\nMapping"]
B --> C["📊 Insurance\nHealth Check"]
C --> D["🚚 Migration\nFlow Analysis"]
D --> E["📋 Resilience\nPlan"]
B -.- FS["First Street\nFlood/Fire/Heat/Wind"]
C -.- INS["FEMA + State\nInsurance Data"]
D -.- MIG["IRS SOI +\nCensus ACS"]
style A fill:#fef3c7,stroke:#f59e0b
style E fill:#d1fae5,stroke:#10b981
flowchart LR
A["🏘️ Select\nNeighborhood"] --> B["📋 Civic\nTransparency"]
B --> C["📊 Community\nConditions"]
C --> D["⚠️ Displacement\nRisk Check"]
D --> E["🎯 Accountability\nScorecard"]
E --> F["📍 Resource\nDirectory"]
B -.- GOV["Council Minutes\nZoning Decisions"]
C -.- DATA["311 Data\nCode Enforcement"]
D -.- DISP["Eviction Lab\nRent Burden"]
F -.- RES["HUD Counselors\n211 / Legal Aid"]
style A fill:#fef9c3,stroke:#ca8a04
style F fill:#d1fae5,stroke:#10b981
LIVABILITY SCORE: 0-100
┌─────────────────┬─────────────────┬─────────────────┬─────────────────┐
│ 🚇 TRANSIT │ 🌳 PARKS & │ 🛡️ SAFETY │ 🎓 EDUCATION │
│ ACCESS │ AMENITIES │ INDICATORS │ ACCESS │
│ │ │ │ │
│ 0-25 points │ 0-25 points │ 0-25 points │ 0-25 points │
│ │ │ │ │
│ Walk Score │ Acreage per │ Crime rates │ Schools in │
│ Transit dist. │ 1K residents │ vs. city avg │ 1.5 mi radius │
│ Bike infra │ Grocery & │ Trend (3-yr) │ Childcare │
│ Frequency │ healthcare │ Density-norm. │ Higher ed │
└─────────────────┴─────────────────┴─────────────────┴─────────────────┘
TREND MODIFIER: Improving (+5 pts/3yr) · Stable (±4 pts) · Declining (-5 pts/3yr)
All inputs are objective infrastructure metrics — never demographics or protected-class proxies.
INVESTMENT OPPORTUNITY TIERS
High Supply │ Watch (10-14) │ Top Tier (20-25)
Advantage │ Monitor for │ High conviction
│ improvement │ Move now
│ │
──────────────┼───────────────────┼──────────────────
│ │
Low Supply │ Avoid (<10) │ Emerging (15-19)
Advantage │ Material │ Strong thesis
│ headwinds │ with uncertainty
│ │
└───────────────────┴──────────────────
Low Demand High Demand
Signal Signal
Five-factor scoring (1-5 each, total 5-25):
| Factor | What It Measures | Data Sources |
|---|---|---|
| Price-to-Income | Affordability signal | Census ACS, BLS, Zillow ZHVI |
| Migration Flows | Demand tailwind | IRS SOI, Census, Redfin search |
| Capital Inflows | Institutional activity | JLL, CBRE, Preqin PE data |
| Infrastructure Momentum | 2–7 year growth signals | MPO TIPs, FTA, USDOT RAISE |
| Supply/Demand Balance | Months of inventory | MLS, Census permits, NAHB |
Units ▲
│ ╱ · · · · · · BULL: Zoning reform + capital availability
│ ╱· ·
│ ╱·
│ ╱·─ ─ ─ ─ ─ ─ ─ BASE: Historical avg conversion
│ ╱·─ ─
│╱· ─
│·─ ╲
│─ ╲ _ _ _ _ _ _ _ BEAR: Financing headwinds + low conversion
│ ╲ _ _
└──────────────────────▶ Time
6 mo 12 mo 24 mo 36 mo
Each scenario includes explicit assumptions, confidence levels, monitoring triggers, and wild card factors.
flowchart TB
SCORE["⚠️ DISPLACEMENT RISK SCORE: 0–100"]
SCORE --> A["💰 Affordability\nPressure\n(0–30 pts)"]
SCORE --> B["🏠 Tenure\nInstability\n(0–25 pts)"]
SCORE --> C["📈 Investment\nPressure\n(0–25 pts)"]
SCORE --> D["🛡️ Policy\nProtection\n(0–20 pts)"]
A --> A1["Rent burden trend\nRent-to-income gap\nAffordable unit pipeline"]
B --> B1["Eviction rate\nRenter share\nLength of residence"]
C --> C1["Investor purchases\nCash share\nRenovation surge"]
D --> D1["Rent stabilization\nJust-cause eviction\nCommunity land trusts"]
style SCORE fill:#fbbf24,stroke:#d97706,color:#000
style A fill:#fee2e2,stroke:#ef4444
style B fill:#fef3c7,stroke:#f59e0b
style C fill:#fce7f3,stroke:#ec4899
style D fill:#d1fae5,stroke:#10b981
Risk Tiers: Critical (75–100) · Elevated (50–74) · Moderate (25–49) · Low (<25)
flowchart LR
CARD["🎯 ACCOUNTABILITY\nSCORE: 0–100"]
CARD --> CE["🔍 Code\nEnforcement\n0–25 pts"]
CARD --> PP["📋 Permit\nProcessing\n0–25 pts"]
CARD --> CR["📞 Complaint\nResolution\n0–25 pts"]
CARD --> PA["🏛️ Public\nAccessibility\n0–25 pts"]
style CARD fill:#3b82f6,stroke:#1e40af,color:#fff
style CE fill:#dbeafe,stroke:#3b82f6
style PP fill:#e0e7ff,stroke:#6366f1
style CR fill:#ede9fe,stroke:#8b5cf6
style PA fill:#f5f3ff,stroke:#7c3aed
Score Tiers: Responsive (85–100) · Functional (70–84) · Needs Improvement (55–69) · Failing (<55)
All analyses cite primary, verifiable sources with vintage dates. No invented data — ever.
flowchart LR
subgraph FEDERAL ["🏛️ Federal"]
direction TB
F1["Census Bureau"]
F2["FHFA / HUD"]
F3["FEMA / NOAA"]
F4["IRS SOI"]
end
subgraph COMMERCIAL ["💼 Commercial"]
direction TB
C1["Zillow / Redfin"]
C2["CoStar / JLL"]
C3["First Street"]
C4["Walk Score"]
end
subgraph CIVIC ["🏘️ Civic & Local"]
direction TB
L1["Municipal 311"]
L2["Eviction Lab"]
L3["HUD Counseling"]
L4["Planning Commissions"]
end
subgraph PLATFORM ["📊 Access to Housing"]
direction TB
OUT["Cited, Structured\nFair Housing-Safe\nAnalysis"]
end
FEDERAL --> PLATFORM
COMMERCIAL --> PLATFORM
CIVIC --> PLATFORM
style FEDERAL fill:#eff6ff,stroke:#3b82f6
style COMMERCIAL fill:#fefce8,stroke:#ca8a04
style CIVIC fill:#f0fdf4,stroke:#16a34a
style PLATFORM fill:#faf5ff,stroke:#8b5cf6
|
Supply & Permits
|
Pricing & Transactions
|
Migration & Demographics
|
|
Climate & Risk
|
Infrastructure
|
Livability
|
|
Community Trust & Civic Transparency
|
||
See assets/data-sources.md for the full reference with 85+ sources and direct links.
Every module is designed to comply with the Fair Housing Act. This is not an afterthought — it is foundational to the architecture.
flowchart TD
A["Incoming Analysis Request"] --> B{"Uses protected-class\ncharacteristics or proxies?"}
B -->|"No"| C{"Based on objective\ninfrastructure metrics?"}
B -->|"Yes"| D["🚫 BLOCKED\nRedirect to safe alternative"]
C -->|"Yes"| E{"Sources cited\nwith vintage dates?"}
C -->|"No"| F["⚠️ REVIEW\nReframe using supply/demand"]
E -->|"Yes"| G["✅ APPROVED\nDeliver analysis"]
E -->|"No"| H["⚠️ ADD SOURCES\nCite data or state unavailable"]
D --> I["Provide Fair Housing-safe\nalternative using objective metrics"]
F --> C
H --> G
style D fill:#ef4444,stroke:#dc2626,color:#fff
style G fill:#10b981,stroke:#059669,color:#fff
style I fill:#3b82f6,stroke:#1e40af,color:#fff
Core rules:
- No analysis based on race, color, national origin, religion, sex, familial status, or disability
- No proxy metrics that score on demographics
- School quality scored on proximity/access only — never test scores framed demographically
- Crime expressed as density-normalized rates — never raw counts
- Neighborhood comparisons use objective infrastructure metrics only
See FAIR-HOUSING.md for the full compliance framework.
access-to-housing/
│
├── 📄 README.md You are here
├── 🧠 SKILL.md Claude skill definition — all 7 core modules
├── ⚖️ FAIR-HOUSING.md Compliance framework & checklist
├── 🤝 CONTRIBUTING.md How to contribute
├── 📜 LICENSE MIT
├── 🧠 CLAUDE.md Developer context for Claude Code contributors
│
├── 📂 assets/
│ ├── data-sources.md 85+ authoritative data sources with links
│ ├── api-reference.md Developer API guide — endpoints, auth, rate limits
│ ├── output-schemas.md JSON schemas for all scoring module outputs
│ ├── example-prompts.md Test prompts for every module with validation checklist
│ ├── sample-output.md Complete Platform Brief example (Nashville, TN)
│ ├── international-guide.md Adaptation guide for UK, Canada, Australia markets
│ ├── glossary.md Plain-language definitions for non-expert users
│ └── images/logo.svg Platform logo
│
├── 📂 references/ 7 analytical pods (80 total modules)
│ ├── market-intelligence/pod.md 16 modules — pricing, supply, cycles, migration
│ ├── investment-deal/pod.md 16 modules — underwriting, portfolio, syndication
│ ├── risk-climate/pod.md 6 modules — climate, zoning, insurance, resilience
│ ├── property-intelligence/pod.md 10 modules — AVM, MLS, rental, pricing strategy
│ ├── brokerage-ops/pod.md 18 modules — CRM, leads, transactions, marketing
│ ├── brokerage-strategy/pod.md 10 modules — growth, recruiting, financial planning
│ └── community-trust/pod.md 6 modules — civic transparency, displacement, accountability
│
├── 📂 docs/ GitHub Pages supplemental pages
│ ├── reference-pods.md Pod navigation page
│ └── resources.md Resources navigation page
│
├── 📂 _sass/ GitHub Pages custom styling
├── 📄 _config.yml Jekyll / GitHub Pages configuration
├── 📄 index.md GitHub Pages home page
├── 📄 Gemfile Jekyll dependencies
│
└── 📂 .github/
├── workflows/pages.yml GitHub Pages deployment workflow
└── ISSUE_TEMPLATE/
├── module-request.yml Request a new analytical module
├── data-source.yml Suggest a data source
├── fair-housing-concern.yml Flag a Fair Housing compliance issue
└── community-resource.yml Submit a local housing resource
Is this an app I can download?
No — Access to Housing is a Claude Custom Skill (a .skill file you upload to Claude.ai). It turns Claude into a specialized PropTech intelligence analyst. There's no separate app, database, or server to run. You ask questions in plain English and get structured, cited analysis back. You can also browse all modules, scoring frameworks, and data sources on the documentation site.
Where does the data come from?
All analysis references 85+ authoritative public and commercial data sources — Census Bureau, FHFA, Zillow, Redfin, First Street Foundation, FEMA, Walk Score, Eviction Lab, and more. Every data point cites its source name and vintage date so you can verify it. The platform never invents data. See assets/data-sources.md for the full list.
Is this Fair Housing compliant?
Yes — Fair Housing compliance is architectural, not an afterthought. Every module, scoring rubric, and output template is designed to avoid protected class characteristics and proxies. Crime uses density-normalized rates, schools are scored on proximity only, neighborhoods are compared on objective infrastructure metrics. See FAIR-HOUSING.md for the full framework.
Can I use this for my local market?
Yes. The platform works for any US market. Ask about a specific city, county, neighborhood, or metro area. For international markets, the frameworks are adaptable — see assets/international-guide.md for country-specific guidance.
I'm a developer — how do I integrate this?
Start with the For Developers section. Key resources: JSON output schemas (assets/output-schemas.md), data source API reference (assets/api-reference.md), example prompts with expected outputs (assets/example-prompts.md), and repo context (CLAUDE.md).
I'm a housing advocate — how does this help my community?
The Community Trust & Transparency Pod was built specifically for communities. Use the Civic Transparency Tracker to see what zoning decisions your city is making, the Displacement Early Warning to identify neighborhoods at risk, the Government Accountability Scorecard to measure responsiveness, and the Neighborhood Resource Directory to find help. See the Community Trust Assessment workflow.
What does a real output look like?
See assets/sample-output.md for a complete multi-module Platform Brief showing Nashville, TN — including Permit Intelligence, Livability Score, Displacement Early Warning, and Government Accountability Scorecard with cited data points and next steps.
How do I contribute?
See CONTRIBUTING.md. High-impact areas: local data sources, community resource directories, Fair Housing review, module expansions, and developer tools. We especially welcome Community Trust contributions from people with local knowledge.
Access to Housing is pillar #3 of CoTrackPro's five-pillar open-source initiative — making critical intelligence freely accessible.
flowchart LR
subgraph ACCESS ["CoTrackPro Access Projects"]
direction LR
J["⚖️\nJustice"]
ED["📚\nEducation"]
H["🏠\nHousing"]
S["🤝\nServices"]
P["☮️\nPeace"]
end
J --- ED --- H --- S --- P
style H fill:#3b82f6,stroke:#1e40af,color:#fff
style J fill:#f3f4f6,stroke:#6b7280
style ED fill:#f3f4f6,stroke:#6b7280
style S fill:#f3f4f6,stroke:#6b7280
style P fill:#f3f4f6,stroke:#6b7280
| Pillar | Repository | Focus |
|---|---|---|
| ⚖️ | access-to | Family law documentation, expungement, protection orders |
| 📚 | access-to-education | K-12 standards, IEP/504 support, educator tools |
| 🏠 | access-to-housing | PropTech intelligence, Fair Housing-safe analysis |
| 🤝 | access-to-services | Legal aid, mental health, advocacy resource navigation |
| ☮️ | coming soon | De-escalation, communication, conflict resolution |
We welcome contributions! See CONTRIBUTING.md for full guidelines.
High-impact contribution areas:
| Area | Examples |
|---|---|
| Data Sources | Add reliable, publicly accessible sources with API access |
| Module Expansions | International markets, regional adaptations, new dimensions |
| Fair Housing Review | Identify compliance concerns in existing frameworks |
| Accessibility | Plain-language improvements, better output templates |
| Reference Pods | New frameworks, case studies, methodology docs |
flowchart LR
A["🍴 Fork Repo"] --> B["🌿 Create Branch"]
B --> C["✏️ Make Changes"]
C --> D["✅ Add Tests"]
D --> E["📬 Submit PR"]
E --> F["🎉 Merged!"]
style A fill:#f3f4f6,stroke:#6b7280
style E fill:#dbeafe,stroke:#3b82f6
style F fill:#d1fae5,stroke:#10b981
MIT License — open source, use freely, attribute kindly.
Doug Devitre — Founder, CoTrackPro
Built with transparency. Designed for compliance. Open to everyone.
Star this repo if you believe housing intelligence should be a public good.