Surface lot owner
20-500 spaces. Park Graph alone covers payment, occupancy, and pricing without sensors.
Most common
Money page · Smart parking system
Smart parking system, without the sensor capex
The classic smart parking system was a $50,000 sensor mesh and a static dashboard. Park Graph is a smart parking system as software: every smart feature, on the free tier, with hardware optional and API-first.
What “smart parking” means in 2026
For most of the last decade, “smart parking” meant in-ground sensors, overhead cameras, big LED counters at garage entrances, and software that read those devices and produced a dashboard. The hardware was the product. The software was the way you looked at the data.
That definition has aged out. Modern operators expect five capabilities from a smart parking system: real-time occupancy, dynamic pricing, app-free payment, machine- readable availability for maps and AI agents, and a public API. Of these, only the first historically required hardware. The other four are software problems.
Park Graph is built on that observation. Real-time occupancy comes from the payment flow itself. Dynamic pricing is a configuration. Payment lives in the mobile browser. Availability is a structured public feed. The API is a first-class product surface. Hardware integrations exist for the cases that need them — but they are not the default, and they are never preconditions for the smart features.
The pain we measured
| Pain today | What it costs you | How Park Graph fixes it |
|---|---|---|
| Sensor meshes are expensive and break | $200-$500/space upfront, 5-15% annual maintenance | Park Graph computes occupancy from payments. Add sensors only where they pay for themselves. |
| Smart features are vendor-locked add-ons | $300-$1,000/mo per add-on per lot | Dynamic pricing, public availability feed, AI booking, API are all included on Park Graph. |
| Maps and AI agents can't see your lots | Lost top-of-funnel discovery | Park Graph publishes a structured availability feed consumable by Google, Apple, ChatGPT, Perplexity, and others. |
| Static rates leave money on the table | Under-priced peaks, over-priced valleys | Time-of-day, occupancy, and event-window pricing rules built in. |
| Operators can't see real-time fullness without a sensor mesh | Operational and pricing decisions made on stale data | Real-time dashboard updates within seconds of every payment. |
The smart-parking workflow, end to end
A driver pulls into a Park Graph lot. They scan the QR code on the sign and the payment page loads. The driver sees the live rate (which may have surged because the lot is 90% full or because it's a game day). They pick a duration. They tap Apple Pay. They're parked.
The same payment event ticks the occupancy counter on the dashboard, retrains the 7-day forecast nightly, and updates the public availability feed that maps and AI agents query. If a pricing rule fires (e.g. “raise rate by 20% at 80% occupancy”), the new rate appears on the next driver's payment page in seconds.
On the operator side, the dashboard shows revenue, occupancy, AI-agent activity, forecasts, and exception alerts (a sensor disagreement, a refund spike, an outsize chargeback). All of this is also addressable via the public API for operators who want to pipe events into a warehouse or an internal BI tool.
A live look at the smart parking dashboard
parkgraph.com/dashboard
Total Revenue
$12,847
Sessions
342
Occupancy
73%
Avg Rate
$8.40
Revenue by source
QR 55% Agent 25% API 12% Web 8%
Implementation: ≤30 minutes from sign-up to live smart lot
- 1
Sign up
~2 minFree Starter plan.
- 2
Create the lot
~4 minAddress, capacity, base hourly rate.
- 3
Print QR code sign
~5 minGenerate and post the print-ready PDF.
- 4
Configure smart-pricing rules
~10 minTime-of-day, occupancy, and event-window steps.
- 5
Publish availability
~1 minTurn on the public feed for maps and AI agents.
- 6
Optional: integrate sensors / gates / EV chargers
~30 minHook in via the API where you need them.
Feature breakdown
Everything you need to run a modern parking operation
From QR-based payments to AI agent integrations — Park Graph is the complete infrastructure layer.
QR-based payments
Drivers scan, pay, and park in under 30 seconds. No app download, no account required.
Real-time analytics
Revenue tracking, occupancy heatmaps, source breakdown, and weekly performance reports.
AI agent protocol
Connect to ChatGPT, Claude, Gemini, and every AI assistant through a single API.
Dynamic pricing
Automatic surge pricing based on events, occupancy, time of day, and demand signals.
Enterprise security
Aligned with SOC 2 controls — row-level security, scoped API keys, and comprehensive audit logs.
Universal SDK
REST API, MCP, OpenAI Actions, Gemini Functions — every platform, one integration.
How Park Graph compares to sensor-based smart parking
| Capability | Park Graph | Legacy parking platform | DIY / hardware-based |
|---|---|---|---|
| Sensor mesh required | No (optional) | Yes | Yes |
| Real-time occupancy | From payments | From sensors | From sensors |
| Dynamic pricing | Built in | Add-on | Build it |
| Public availability feed | Built in | Add-on | Build it |
| AI agent discovery | Built in | Not available | Build it |
| Driver app required | No | Sometimes | Custom |
| Setup cost (1 lot) | $0 + sign | $20k-$50k | $15k-$30k |
| Take rate | 3.3-10% | 5-15% + monthly + sensor capex | Stripe only |
Use cases
Garage operator
Mixed permit + transient. Park Graph handles billing, gate integration, and reservation in one stack.
Garage
Municipal on-street
Block-by-block QR payment, dynamic pricing, enforcement tooling.
Public sector
Stadium / event venue
Surge pricing, reservation windows, AI-agent visibility for game-day discovery.
Events
Hotel campus
Self-park + valet + EV charging on one platform.
Hospitality
Property tech platform
Embed Park Graph parking inside a multi-tenant property app via the API.
PropTech
Operator economics
Smart features at smart prices
- Sensor capex avoided
- $20k-$50k
- Smart features included
- All
- Time to live
- ≤30 min
Per 100-space lot
Dynamic pricing, occupancy, public feed, AI
First lot
Projected 2026+ targets
$0
Sensor capex required
0 min
First-lot setup
0 day
Forecast horizon
0
AI agent platforms supported
Projected targets reflect 2026+ planning and internal pilot modeling — not live customer outcomes.
Trust & operator controls
PCI DSS Level 1 (via Stripe)
All payment processing tokenized.
Public feed is opt-in
Operators choose which downstream consumers see their lot.
Audit log on every override
Every manual override on pricing, occupancy, or refund is recorded.
WCAG 2.2 AA accessibility
Dashboard and driver-facing surfaces meet WCAG 2.2 AA.
Show, don't just tell
Run the numbers for your lot
The calculator below estimates monthly take-home revenue across Starter, Pro, and Enterprise plans for any lot size, hourly rate, occupancy, and operating-hour configuration you choose. Numbers update live as you adjust the inputs.
Revenue calculator
See how much you could earn with Park Graph.
Your lot details
Projected monthly revenue
$86,400
Starter
Platform cost
$8,640/mo
Your net revenue
$77,760/mo
Pro
Best valuePlatform cost
$4,819/mo
Your net revenue
$81,581/mo
Enterprise
Platform cost
$5,350/mo
Your net revenue
$81,050/mo
Make your lot smart this week — no hardware required
Free forever on Starter. Smart features included on every plan.
Frequently asked questions
- What is a smart parking system?
- A smart parking system replaces guesswork with real-time data and software. Classic smart parking systems were defined by per-space sensors and overhead cameras. The modern definition is broader: any system that gives operators real-time occupancy, dynamic pricing, app-free payment, and machine-readable availability for downstream integrations like maps and AI agents. Park Graph is a smart parking system in this modern sense — and it does not require a sensor mesh to start.
- Does a smart parking system require sensors or cameras?
- Not anymore. Park Graph computes real-time occupancy from paid sessions, layers in optional sensor or LPR feeds where you have them, and publishes the result to the dashboard, the public availability feed, and the API. Sensors and cameras are useful enrichments, but they are not preconditions.
- How smart is Park Graph compared to a sensor-based system?
- For most paid lots, occupancy accuracy is comparable. The advantage of Park Graph is that the smart features — dynamic pricing, AI-agent discovery, occupancy forecasting, public availability feed — are built into the platform from day one, not bolted on as expensive add-ons. The disadvantage is that for unpaid or permit-heavy lots, you need to add sensor or LPR feeds for full accuracy.
- Can the smart parking system push data to Google Maps and Apple Maps?
- Yes. Park Graph publishes a public availability feed that map providers can ingest. The lot owner controls whether their lot is published, what data is exposed (just hours and price, or full live occupancy), and which downstream consumers (maps, AI agents, partner apps) are allowed.
- Does the smart parking system support dynamic pricing?
- Yes. Operators can configure rate steps that trigger on time-of-day, day-of-week, occupancy thresholds, or scheduled event windows. The pricing change propagates immediately to the QR payment page, the public availability feed, and AI-agent integrations.
- What about EV charging integration?
- Park Graph integrates with the major EV-charging networks via the API so lots with chargers can bill parking and charging on a single transaction. The /solutions/ev-charging-parking page covers the workflow.
- Do drivers need an app to use the smart parking system?
- No. Park Graph runs in the mobile browser. Drivers scan a QR code, pay in their browser, and receive a digital pass. The same flow drives transient, reservation, and AI-agent bookings.
- How does Park Graph compare to legacy smart parking platforms?
- Legacy smart parking platforms (Streetline, Cleverciti, ParkSol, INRIX) sold the sensor mesh as the product and the software as the dashboard for the sensor data. Park Graph treats the software as the product. Where you need sensor-grade accuracy, you can layer their hardware in via the API; you don't pay them for the dashboard.
- Can the smart parking system handle gates and barriers?
- Yes. Park Graph integrates with SKIDATA, Designa, Amano, and ParkPlus gates, plus generic relay-driven gate hardware. The integration is optional — many gated lots use Park Graph for billing and analytics while keeping the gate as access control only.
- Is the smart parking system suitable for cities and municipal operators?
- Yes. Park Graph supports zone-based pricing, time-of-day variation, residential permit programs, on-street and surface lot management, and enforcement-officer tooling. Municipal customers run their entire paid-parking program through Park Graph.