AutoLeadStar
AutoLeadStar is an automotive marketing technology company founded in 2015 in Jerusalem, Israel, that rebranded as Fullpath in March 2023 after raising a $40M Series C. It builds an enhanced Customer Data Platform (CDP) and AI ecosystem for franchise car dealerships, unifying first-party data from the dealership CRM, DMS, website, inventory feed and advertising accounts into a single shopper profile, then activating it through digital advertising, VIN-specific campaigns, equity mining, email/SMS audience activation, website personalization and an AI chat agent. The company opened a public API for the platform in November 2022 and today publishes a Scalar-rendered OpenAPI 3.0 reference at developers.fullpath.com covering shoppers, audiences, leads, tasks, appointments, activities and a vendor Consent Management API, alongside a downloadable Model Context Protocol tool manifest. Fullpath reports more than 2,000 dealership clients across North America and 200+ pre-built integrations, and was acquired by Cox Automotive.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles AutoLeadStar the way a machine reads it — 23 machine-readable artifacts across 8 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — AutoLeadStar scores 48.9/100 (developing), with a separate agent-readiness read of 40/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-08-17 · rubric v0.11.0
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<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/autoleadstar/"
title="AutoLeadStar on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/autoleadstar.svg"
alt="AutoLeadStar Kin Score — API readiness rating by API Evangelist" width="150" height="150" loading="lazy">
</a>[](https://providers.apievangelist.com/providers/autoleadstar/)<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/autoleadstar/"
title="AutoLeadStar on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/autoleadstar/card.svg"
alt="AutoLeadStar Kin Score — API readiness rating by API Evangelist" width="340" height="120" loading="lazy">
</a>More shapes, themes and sizes → · Score as JSON · How badges work
How we profile AutoLeadStar
Each block below is one kind of artifact we hold for AutoLeadStar. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 8
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Fullpath MCP Tools
A first-party Model Context Protocol tool manifest published by Fullpath for AI assistants. Thirteen tools with real JSON Schema inputSchemas covering consent management, shoppe...
AutoLeadStar Activities API
Operations related to activities
AutoLeadStar Appointments API
Operations related to appointments
AutoLeadStar Audiences API
Operations related to audiences
AutoLeadStar Consents API
Vendor Consent Management API for listing integrated dealers and reading/writing communication consent. Defaults to `https://fullpath.com/api/v2/external/consent-management`.
AutoLeadStar Leads API
Operations related to leads
AutoLeadStar Shoppers API
Operations related to shoppers
AutoLeadStar Tasks API
Operations related to tasks
Scroll within the panel for all 8 ·
Open Collections 8
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONAutoleadstar Activities API
OPEN COLLECTIONAutoleadstar Appointments API
OPEN COLLECTIONAutoleadstar Audiences API
OPEN COLLECTIONAutoleadstar Consents API
OPEN COLLECTIONAutoleadstar Leads API
OPEN COLLECTIONAutoleadstar Shoppers API
OPEN COLLECTIONAutoleadstar Tasks API
OPEN COLLECTIONScroll within the panel for all 8 ·
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
autoleadstar-mcp.yml
MCP SERVERPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Autoleadstar Rate Limits
RATE LIMITSSecurity Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for AutoLeadStar — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 2
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 6
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/autoleadstar · machine-readable index on apis.io
This is an independent, third-party profile of AutoLeadStar, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.