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AppLovin

AppLovin is a marketing platform that helps businesses reach, monetize, and grow their global audiences through mobile advertising, mediation, and analytics. The company operates platforms including AppDiscovery (Axon) for performance-based user acquisition, MAX for in-app bidding mediation, Adjust for mobile measurement, and Wurl for connected TV. AppLovin provides SDKs and REST APIs that allow app developers and advertisers to integrate ad serving, monetization, campaign management, conversion tracking, and reporting capabilities into their applications.

agent ready

Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.

Kin Score

API Evangelist profiles AppLovin the way a machine reads it — 35 machine-readable artifacts across 11 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 — AppLovin scores 60.4/100 (strong), with a separate agent-readiness read of 55/100 (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 Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 60.4/100 · strong
Contract Quality 17.4 / 25
Developer Ergonomics 10.0 / 20
Commercial Clarity 10.0 / 20
Operational Transparency 3.4 / 13
Governance 10.4 / 12
Discoverability 9.3 / 10
Agent readiness — 55/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 7 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8

How we profile AppLovin

Each block below is one kind of artifact we hold for AppLovin. 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 11

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.

AppLovin Ad Units API

Ad unit lifecycle and configuration

AppLovin Asset Reporting API

Creative-level performance reporting

AppLovin Assets API

Creative asset upload and listing

AppLovin Campaigns API

Campaign create / update / list operations

AppLovin Conversion Events API

Server-to-server conversion event ingestion

AppLovin Creative Sets API

Creative set lifecycle operations

AppLovin Experiments API

Ad unit A/B experiment management

AppLovin Growth Reporting API

Campaign performance reporting for advertisers and publishers

AppLovin Revenue Reporting API

Mediation revenue and user-level reporting

AppLovin Test Devices API

Test device management

AppLovin Waterfalls API

Per-segment waterfall management

Scroll within the panel for all 11 ·

Pricing 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.

Applovin Rate Limits

2 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.

Cost, billing, and metering signals for API financial operations.

Semantic Vocabularies 1

JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.

JSON-LD contexts and semantic vocabularies used across these APIs.

Applovin Context

50 classes · 10 properties

JSON-LD

Spectral Rules 2

Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.

AppLovin API Rules

5 rules · 4 warnings

SPECTRAL

AppLovin API Rules

28 rules · 11 errors · 15 warnings

SPECTRAL

JSON Schema 4

Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.

Standalone JSON Schema definitions for this provider's data models.

AppLovin MAX Ad Unit

12 properties

JSON SCHEMA

AppLovin Axon Campaign

14 properties

JSON SCHEMA

AppLovin Conversion Event

6 properties

JSON SCHEMA

AppLovin Creative Set

9 properties

JSON SCHEMA

JSON Structure 3

JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.

JSON Structure definitions describing this provider's data shapes.

Applovin Ad Unit Structure

0 properties

JSON STRUCTURE

Applovin Campaign Structure

0 properties

JSON STRUCTURE

Applovin Conversion Event Structure

0 properties

JSON STRUCTURE

Examples 8

Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.

Example request and response payloads for these APIs.

Scroll within the panel for all 8 ·

Security Posture 2

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.

Applovin Authentication

apiKey/http · 3 schemes

SECURITY

Applovin Domain Security

TLSv1.3 · DMARC

SECURITY

Agentic Access 1

An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.

Recommended x-agentic-access execution contracts for AI agents.

Applovin Agentic Access

30 operations · 14 acting

30 operations · 14 acting

AGENTIC

Resources

Every other property we hold for AppLovin — 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 1

Portal, sign-up, and the first successful call

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Access & Security 2

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/applovin · machine-readable index on apis.io