Autosnap AI
THE AGENTIC DATA LAYER FOR AUTOMOTIVE INTELLIGENCE

IntelligentAutomotiveAIStarts Here.

Extract, enrich, and activate dealer inventory data at scale — powering the next generation of automotive AI products, agents, and experiences.

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Origin — Live extraction

$ origin extract --url

https://johnsonauto.com/inventory

VIN

1HGCV1F34PA0...

Year

2025

Make

Honda

Model

Civic

Price

$28,450

Mileage

12 mi

347 records extracted — 2.4s

Trusted by industry leaders

Tekion
CarNow
Podium
CDK Global
Thesis

The architecture beneath automotive AI

Automotive data is fragmented, unstructured, and constantly changing. We built a vertically integrated intelligence platform — four distinct layers, each engineered to solve a specific problem, all designed to work together as a single system.

Data Architecture

Origin extracts it.Vault stores it.Cortex thinks with it.Forge builds on it.

What would automotive data infrastructure look like if it were built today, for AI, by people who understand both? The answer is Autosnap AI.

Explore the Platform

API-first, developer-ready

Every product is API-accessible, every endpoint is documented, and every response is clean JSON. No sales call required to start building.

Plan, search

Vertically integrated intelligence

Four distinct layers, each solving a specific problem. From raw ingestion to autonomous agents — all designed as a single, cohesive system.

Intelligently Designed

Four layers. One intelligence platform.

From raw extraction to autonomous agents — every layer of the Autosnap AI stack is purpose-built for automotive data at scale. Each layer compounds the value of the one beneath it.

Data & Storage Solutions

1. Autosnap Origin
Where intelligence begins

Origin pulls live inventory, pricing, and vehicle data from dealer websites and listing platforms — continuously and at scale. Every record is validated and cross-referenced for accuracy before it enters the pipeline. Raw data in, clean structured output out.

$curl -X GET "https://api.autosnap.cloud/v1/origin/inventory" \
-H "Authorization: Bearer as_live_•••••••••" \
-H "Content-Type: application/json" \
-d '{"dealer_url": "https://example-dealer.com"}'
→ Connecting to Origin...
→ Extracting inventory: 100% (347 vehicles)
→ Enriching & normalizing data...
✓ 347 vehicles processed in 2.4s

Origin — The fastest path from URL to data

One URL in. Complete inventory out. Origin crawls, parses, and structures vehicle data from any dealer website — make, model, year, trim, price, mileage, VIN, photos, and more. No feed setup. Dealer friction eliminated.

Vault — Vector storage
0/4 vectors
Vector IDVehicleSimilarityDims
vec_0x8f2a2025 Honda Civic EX1.0001,536
vec_0x3d1b2025 Honda Civic Sport0.9471,536
vec_0xa7c42024 Toyota Corolla SE0.8911,536
vec_0xf1e92025 Hyundai Elantra N0.8341,536

Cluster stats

1.2Mrecords
1,536dimensions
<8msp99 latency
99.97%uptime

Vault — Structured, searchable, always current

Data is normalized, deduplicated, and ready for semantic search. Vault keeps your data fresh and queryable without manual indexing or ETL pipelines.

Applied Intelligence & Agentic Solutions

3. Autosnap Cortex
Intelligence on demand

Cortex exposes your entire inventory through MCP for AI-native access — semantic search, enrichment, and pricing intelligence. Any AI agent or application can query your data like it understands cars.

Search inventory, enrich data

Cortex — AI-native access to automotive data

Expose your inventory via MCP so any AI agent can search, enrich, and price vehicles semantically. Cortex is the intelligence layer that makes your data useful to machines.

forge — agent runtime
0/4 active

Forge — From intelligence to autonomous action

Built for sales, service, and operations — Forge takes everything the stack knows and puts it to work across the dealership. Deploy agents that price inventory, respond to leads, and manage stock autonomously.

Full Stack Intelligence

Purpose-built solutions for every layer of the pipeline.

From raw extraction to autonomous agents — Origin, Vault, Cortex, and Forge each solve a distinct problem in the automotive data pipeline.

Plug-ins & Integrations

Autosnap Plug-ins

Autosnap plug-ins add specialized intelligence on top of the core stack. Partner integrations bring third-party data directly into your pipeline.

Helix

Personalization

Connect any CRM for fingerprint-level semantic customer personalization.

Retina

Merchandising

Shopper-personalized visual media merchandising.

Prism

Advertising

Dynamic ad content powered by real-time inventory data.

Pulse

Pricing

Autosnap pricing intelligence and market analytics.

Radix

Sourcing

Source cars the right way with data-driven acquisition.

Tensor

Operations

Connect your DMS/IMS for operational intelligence.

Flux

Service

Service department intelligence and workflow automation.

Partner Marketplace

Third-party data providers that plug directly into your Autosnap pipeline.

VINCuePricing
KBBPricing
CarFaxVehicle Condition Reports
EdmundsMarket Intelligence

Build on Autosnap

Launch a plug-in on our marketplace and reach every dealership on the platform.

DOCUMENTATION

Build something. Right now.

Get a free API key and make your first request in under sixty seconds. Full reference documentation, example integrations, and SDKs for every layer of the platform.

We built Autosnap AI for developers first. Every product is API-accessible, every endpoint is documented, and every response is clean JSON. No sales call required to start building.

Get Free API KeyRead the Docs
Request
POST /origin/inventory
{
  "dealership_url": "www.example-dealership.com",
  "as_api_key": "as_live_xxxxxxxxxxxxxxxxxxxxx"
}
Response — 200 OK
{
  "success": true,
  "count": 147,
  "vehicles": [ ... ]
}

MANIFESTO

We didn't set out to build another vendor tool.

The automotive industry runs on data that is fragmented, inconsistent, and trapped inside systems that were never designed for the age of AI.

Dealer management systems built in the early 2000s still control the flow of inventory. Data providers charge enterprise fees for stale feeds delivered on 24-hour cycles. And the companies building the next generation of automotive AI — the chatbots, the pricing engines, the personalization platforms — are forced to solve the same foundational data problems over and over again, burning engineering cycles on infrastructure instead of innovation.

We believe that is fundamentally broken.

Autosnap AI exists because we believe the future of automotive technology depends on a shared intelligence layer — a single, open, API-first platform that solves the hardest data problems once, at the infrastructure level, so that every builder in the ecosystem can move faster.

We built Origin because no one should have to negotiate a DMS integration to access inventory data that is already public on the internet. We built Vault because every company maintaining their own vector database and embedding pipeline is wasting time solving a problem that should be solved at the platform level. We built Cortex because AI applications deserve a real intelligence layer — not a raw database and a prayer. And we built Forge because the agents are coming whether the industry is ready or not, and they deserve to be built on a foundation that actually understands automotive.

This is not a dealership tool. This is not a chatbot. This is the infrastructure beneath all of it.

We're building the operating system for automotive intelligence, and we're just getting started.

— The Autosnap AI Team

Trusted

Trusted by dealerships and technology partners across North America

From independent dealers to enterprise groups — teams trust Autosnap AI to power their automotive intelligence.

Autosnap AI replaced three different data vendors for us. Origin gives us real-time inventory data that was previously impossible to access without DMS integrations.

Sarah Mitchell

Sarah Mitchell

VP of Digital at AutoGroup

We built our entire pricing engine on top of Vault and Cortex. The semantic search alone saved us six months of engineering time. The MCP integration is a game-changer.

James Chen

James Chen

CTO at DriveStack

Forge let us deploy dealer-facing AI agents in weeks instead of months. The pre-built agents handle 80% of our use cases out of the box.

Maria Rodriguez

Maria Rodriguez

Founder at CarBot AI

Autosnap AI replaced three different data vendors for us. Origin gives us real-time inventory data that was previously impossible to access without DMS integrations.

Sarah Mitchell

Sarah Mitchell

VP of Digital at AutoGroup

We built our entire pricing engine on top of Vault and Cortex. The semantic search alone saved us six months of engineering time. The MCP integration is a game-changer.

James Chen

James Chen

CTO at DriveStack

Forge let us deploy dealer-facing AI agents in weeks instead of months. The pre-built agents handle 80% of our use cases out of the box.

Maria Rodriguez

Maria Rodriguez

Founder at CarBot AI

Autosnap AI replaced three different data vendors for us. Origin gives us real-time inventory data that was previously impossible to access without DMS integrations.

Sarah Mitchell

Sarah Mitchell

VP of Digital at AutoGroup

We built our entire pricing engine on top of Vault and Cortex. The semantic search alone saved us six months of engineering time. The MCP integration is a game-changer.

James Chen

James Chen

CTO at DriveStack

Forge let us deploy dealer-facing AI agents in weeks instead of months. The pre-built agents handle 80% of our use cases out of the box.

Maria Rodriguez

Maria Rodriguez

Founder at CarBot AI

Autosnap AI replaced three different data vendors for us. Origin gives us real-time inventory data that was previously impossible to access without DMS integrations.

Sarah Mitchell

Sarah Mitchell

VP of Digital at AutoGroup

We built our entire pricing engine on top of Vault and Cortex. The semantic search alone saved us six months of engineering time. The MCP integration is a game-changer.

James Chen

James Chen

CTO at DriveStack

Forge let us deploy dealer-facing AI agents in weeks instead of months. The pre-built agents handle 80% of our use cases out of the box.

Maria Rodriguez

Maria Rodriguez

Founder at CarBot AI

The API-first approach is exactly what we needed. Clean JSON, great docs, and zero sales calls to get started. Our team was productive in under an hour.

David Park

David Park

Head of Engineering at MotorTech

Cortex's plugin ecosystem — especially Prism for pricing intelligence — has transformed how we approach competitive analysis. Real-time market data that actually means something.

Rachel Torres

Rachel Torres

Product Manager at DealerIQ

We evaluated every automotive data provider on the market.Autosnap AI is the only one built for the AI era. The vector-native storage in Vault makes everything downstream faster and smarter.

Michael Foster

Michael Foster

Director of Innovation at AutoNation Digital

The API-first approach is exactly what we needed. Clean JSON, great docs, and zero sales calls to get started. Our team was productive in under an hour.

David Park

David Park

Head of Engineering at MotorTech

Cortex's plugin ecosystem — especially Prism for pricing intelligence — has transformed how we approach competitive analysis. Real-time market data that actually means something.

Rachel Torres

Rachel Torres

Product Manager at DealerIQ

We evaluated every automotive data provider on the market.Autosnap AI is the only one built for the AI era. The vector-native storage in Vault makes everything downstream faster and smarter.

Michael Foster

Michael Foster

Director of Innovation at AutoNation Digital

The API-first approach is exactly what we needed. Clean JSON, great docs, and zero sales calls to get started. Our team was productive in under an hour.

David Park

David Park

Head of Engineering at MotorTech

Cortex's plugin ecosystem — especially Prism for pricing intelligence — has transformed how we approach competitive analysis. Real-time market data that actually means something.

Rachel Torres

Rachel Torres

Product Manager at DealerIQ

We evaluated every automotive data provider on the market.Autosnap AI is the only one built for the AI era. The vector-native storage in Vault makes everything downstream faster and smarter.

Michael Foster

Michael Foster

Director of Innovation at AutoNation Digital

The API-first approach is exactly what we needed. Clean JSON, great docs, and zero sales calls to get started. Our team was productive in under an hour.

David Park

David Park

Head of Engineering at MotorTech

Cortex's plugin ecosystem — especially Prism for pricing intelligence — has transformed how we approach competitive analysis. Real-time market data that actually means something.

Rachel Torres

Rachel Torres

Product Manager at DealerIQ

We evaluated every automotive data provider on the market.Autosnap AI is the only one built for the AI era. The vector-native storage in Vault makes everything downstream faster and smarter.

Michael Foster

Michael Foster

Director of Innovation at AutoNation Digital

Build more. Pay less. Scale smart.

Try free for 14 days with full access to all features. Upgrade only when your AI agent proves value.

Developer

Free/month

For builders exploring the platform

Get Free API Key
  • Origin API access
  • Vault (limited storage)
  • Cortex semantic search
  • Community docs
  • Rate-limited API access

GrowthPopular

Custom/month

For companies scaling automotive AI products

Contact Sales
  • Everything in Developer
  • Higher rate limits
  • All Cortex plugins
  • Forge agent builder
  • Priority support
  • Production-ready SLAs

Enterprise

Custom/month

For enterprise groups and strategic partners

Contact Sales

Everything in Startup +

  • Everything in Growth
  • Dedicated infrastructure
  • Custom SLAs
  • White-label options
  • Direct engineering support
  • Volume pricing

Frequently Asked Questions

Common questions about the Autosnap AI platform. If you need more details, check our documentation or reach out directly.

The infrastructure beneath automotive intelligence.

Start building with a free API key. Full platform access. No sales call required.

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