HOVER 3D Property Intelligence API
HOVER 3D property intelligence REST API for smartphone-photo-based 3D exterior measurement, material estimation, and property visualization. Enables AI agents to manage 3D property model creation from smartphone photos for exterior measurement automation, handle roof and siding material quantity estimation for construction estimating, access interactive property visualization and digital sales tools for contractor sales automation, retrieve insurance replacement cost estimation from 3D property models for claims automation, manage exterior project planning and material specification for home improvement automation, handle virtual design and product visualization for customer decision support, access contractor estimate generation from 3D measurements for bid automation, retrieve property data enrichment and structural analytics for property intelligence, manage multi-contractor bid comparison from shared 3D property data for homeowner procurement, and integrate HOVER with insurance claims platforms, contractor CRM, and material supplier systems.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Property measurement. SOC2. API key/OAuth2. US. Property imagery and 3D model data.
⚡ Reliability
Best When
A roofing, siding, or exterior remodeling contractor, insurance carrier, or home improvement marketplace wanting AI agents to automate 3D property measurement from photos, material estimation, bid generation, and claims documentation.
Avoid When
ESTIMATE ACCURACY FOR MATERIAL ORDERING: HOVER 3D measurement from smartphone photos has accuracy limitations depending on photo quality and property complexity; automated material orders based on HOVER measurements require waste factor buffer; gutter returns, dormers, and complex geometries have higher measurement error. Licensed professional drawing requirements — HOVER 3D models are not licensed professional architectural or engineering documents; automated submission for building permits requiring PE/architect-stamped drawings creates permit rejection. Insurance replacement cost methodology — automated replacement cost estimates from HOVER models must use defensible pricing methodology; automated ACV or RCV calculations without current material cost data create insurance claim dispute. Photo quality dependency — automated HOVER model creation requires adequate photo coverage and quality; automated workflows must validate photo set completeness before triggering model creation; incomplete photos create failed or inaccurate models.
Use Cases
- • Creating 3D property models from photo capture agents
- • Estimating exterior materials from measurement agents
- • Generating contractor bids from property model agents
- • Assessing replacement cost from insurance claims agents
Not For
- • Interior measurement without exterior structure focus
- • Flat commercial roofing without residential exterior context
- • Non-property construction without 3D measurement need
Interface
Authentication
HOVER uses API key and OAuth 2.0. REST API with JSON. San Francisco, California HQ. Founded 2011. Private (Google Ventures, True Ventures, Menlo Ventures, State Farm Ventures). 3D property measurement from smartphone photos. 500,000+ homes measured. Insurance carrier integrations (State Farm, Liberty Mutual, Allstate). Competes with EagleView and Nearmap for property measurement and Roofr for roofing estimating.
Pricing
San Francisco. GV/True/Menlo/State Farm Ventures-backed. Founded 2011. 500,000+ homes measured. Insurance carrier integrations. Per-model pricing.
Agent Metadata
Known Gotchas
- ⚠ ASYNC 3D MODEL GENERATION: HOVER 3D model generation takes significant time (15 minutes to several hours); automated workflows must use webhook callback or polling — never assume synchronous model delivery
- ⚠ Photo coverage validation — automated HOVER model creation requires complete photo set (typically 8-15 photos covering all elevations and corners); automated workflows must validate photo count and coverage before order submission; incomplete photo sets produce failed or inaccurate models
- ⚠ Material measurement accuracy bounds — HOVER accuracy is ±2-5% for most properties; automated material orders must include waste factor beyond HOVER measurement accuracy; complex dormers, chimneys, and irregular geometries have higher error
- ⚠ Insurance carrier integration — HOVER has direct carrier integrations with specific workflows; automated general API access may differ from carrier-integrated workflows; verify which API flow applies for insurance claim vs contractor estimate use case
- ⚠ Model credit deduction timing — HOVER charges per model at creation, not delivery; duplicate job submissions (retry without cancellation) create double-charge; implement idempotency key to prevent duplicate model orders
- ⚠ Mobile SDK photo quality — automated HOVER capture via mobile SDK requires adequate lighting and camera focus; automated photo capture workflows must validate image quality scores before submission
Alternatives
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Scores are editorial opinions as of 2026-03-07.