Market Analytics AI¶

Neighborhood trends, comp analysis, and market intelligence

What Is Market Analytics?¶

Market Analytics provides AI-powered market insights that help investors understand neighborhood trends, validate ARV estimates, and spot opportunities before competitors.

graph TB subgraph "Data Sources" D1[PropStream API] D2[MLS Data] D3[County Records] D4[Rental Data] end subgraph "Market Analytics AI" A[Data Aggregation] B[Trend Analysis] C[Comp Scoring] D[Opportunity Detection] end subgraph "Insights" I1["📈 Price Trends
+4.2% YoY"] I2["🏠 Inventory
2.1 months"] I3["📊 Comp Quality
Score: 85/100"] I4["🔔 Hot ZIP Alert
44105"] end D1 & D2 & D3 & D4 --> A A --> B --> C --> D D --> I1 & I2 & I3 & I4 style A fill:#3b82f6,color:#fff style B fill:#3b82f6,color:#fff style C fill:#3b82f6,color:#fff style D fill:#3b82f6,color:#fff style I1 fill:#22c55e,color:#fff style I2 fill:#22c55e,color:#fff style I3 fill:#22c55e,color:#fff style I4 fill:#22c55e,color:#fff

Key Features¶

1. Neighborhood Trend Analysis¶

Metric	What We Track	Why It Matters
Median Price	12-month trend	Is market appreciating?
Days on Market	Average DOM	How fast are homes selling?
Inventory Months	Active ÷ Sold	Buyer's or seller's market?
Flip Activity	Flips ÷ Total sales	Competition level
Price/SqFt	Trend by property type	Micro-market dynamics

Example Output:

📍 ZIP Code: 44105 (Cleveland, OH)
───────────────────────────────────
📈 Median Price: $95,000 (+8.2% YoY)
⏱️ Avg Days on Market: 24 days
📊 Inventory: 1.8 months (seller's market)
🏠 Flip Activity: 15% of sales (moderate competition)
💰 Price/SqFt: $72 (+$5 from last year)

💡 AI Insight: "Strong appreciation in affordable tier.
   DOM under 30 days indicates quick sales. Good market
   for value-add flips if acquisition price is right."

2. Comp Analysis Engine¶

How We Score Comps:

graph LR subgraph "Comp Inputs" C1[Distance] C2[Recency] C3[Size Match] C4[Bed/Bath] C5[Condition] end subgraph "Scoring" S[AI Scoring
Engine] end subgraph "Output" O1["Comp 1: 92/100
Best match"] O2["Comp 2: 85/100
Good match"] O3["Comp 3: 71/100
Fair match"] end C1 & C2 & C3 & C4 & C5 --> S --> O1 & O2 & O3 style S fill:#3b82f6,color:#fff style O1 fill:#22c55e,color:#fff style O2 fill:#22c55e,color:#fff style O3 fill:#eab308,color:#000

Comp Scoring Criteria:

Factor	Weight	Scoring Logic
Distance	25%	<0.25mi = 100, <0.5mi = 80, <1mi = 50
Recency	25%	<30 days = 100, <60 days = 80, <90 days = 60
Size Match	20%	Within 10% = 100, 20% = 70, 30% = 40
Bed/Bath	15%	Exact = 100, ±1 bed/bath = 70
Condition	15%	Same condition = 100, ±1 level = 70

AI Adjustments:

The AI also applies Cameron's methodology for adjustments:

Basement: +$10K finished, -$5K if none
Garage: +$5K per bay
Lot size: ±$1K per 1,000 sqft
Age difference: ±$2K per decade

3. Market Opportunity Detection¶

AI scans for investment opportunities matching your buy box:

flowchart TB subgraph "Your Buy Box" B1["SFH, 3bd/2ba"] B2["Under $100K purchase"] B3["ARV $150K+"] B4["Cleveland metro"] end subgraph "AI Scanner" S["Scans 1,000+
listings daily"] end subgraph "Alerts" A1["🔔 3 matches today"] A2["Deal: 123 Main St
Score: 85/100"] end B1 & B2 & B3 & B4 --> S --> A1 A1 --> A2 style S fill:#3b82f6,color:#fff style A1 fill:#f97316,color:#fff style A2 fill:#22c55e,color:#fff

Alert Types:

Alert	Trigger	Frequency
Hot Deal	Score >80, matches buy box	Instant
Price Drop	>10% price reduction	Daily
New Listing	Matches criteria	Daily
Market Shift	Trend change detected	Weekly

How We Get the Data¶

Data Sources¶

Source	Data Type	Cost	Accuracy
PropStream	Property details, comps	$99-149/mo	High
County Records	Sales history, liens	Free	Official
MLS (via IDX)	Active listings	Varies	Real-time
Rentometer/Zillow	Rent estimates	Free tier	Moderate

Technical Implementation¶

flowchart TB subgraph "Data Ingestion" I1[PropStream API] I2[County Scraper] I3[MLS Feed] I4[Rent APIs] end subgraph "Processing" P1[Data Normalization] P2[Geocoding] P3[Property Matching] P4[Trend Calculation] end subgraph "Storage" DB[(PostgreSQL)] TS[(TimescaleDB)] Cache[(Redis)] end subgraph "AI Layer" AI[Claude API] Embed[Embeddings] end I1 & I2 & I3 & I4 --> P1 --> P2 --> P3 --> P4 P4 --> DB & TS DB --> Cache Cache --> AI & Embed style P1 fill:#3b82f6,color:#fff style P2 fill:#3b82f6,color:#fff style P3 fill:#3b82f6,color:#fff style P4 fill:#3b82f6,color:#fff style DB fill:#6366f1,color:#fff style TS fill:#6366f1,color:#fff style Cache fill:#6366f1,color:#fff style AI fill:#22c55e,color:#fff style Embed fill:#22c55e,color:#fff

API Rate Limits & Costs¶

Provider	Rate Limit	Est. Monthly Cost
PropStream	10,000 calls/mo	$99-149
Google Geocoding	40,000/mo free	$0-50
Rentometer	500/mo free	$0-30
Total	-	$100-230/mo

Who Offers This Today?¶

Competitor Comparison¶

Feature	Tuff Flips	PropStream	DealCheck	FlipperForce
Neighborhood trends	✅ AI-powered	✅ Basic	❌	❌
Comp scoring	✅ Weighted AI	❌ Manual	❌	❌
Buy box alerts	✅ Smart	✅ Basic	❌	❌
Cameron methodology	✅ Built-in	❌	❌	❌
Deal integration	✅ Native	❌ Separate	✅	✅

Our Edge: PropStream has data. We add AI interpretation using Cameron's methodology.

Market Analytics by Tier¶

Feature	Free	Solo	Pro	Team
View market trends	❌	❌	✅	✅
Comp scoring	❌	❌	✅	✅
Buy box alerts	❌	❌	✅	✅
Custom market reports	❌	❌	❌	✅
API access	❌	❌	❌	✅

Implementation Timeline¶

Phase	Feature	Complexity
Phase 3	Basic neighborhood stats	Medium
Phase 3	Comp scoring engine	High
Phase 4	Buy box alerts	Medium
Future	Predictive analytics	Very High

Market Analytics requires Pro tier or higher

See AI Overview for all AI features