AppManAi
AppManAi provides AI agents and development teams with real App Store and Google Play data through a Model Context Protocol (MCP) connector. The service offers searchable app metadata, keyword intelligence, performance metrics, reviews, and competitor insights for over 6 million apps and 15 million keywords across 100+ countries. Pricing is per‑request with a free starter tier and monthly credit plans, and the connector works with Claude, ChatGPT, Cursor and other MCP‑compatible clients.
AppManAi publishes 4 API contracts indexed on the APIs.io network, including App Metadata API, App Metrics API, App Reviews API, and 1 more. Tagged areas include App Store Data, Google Play Data, ASO, Data API, and App Intelligence.
The AppManAi catalog on APIs.io includes 1 Spectral governance ruleset.
AppManAi’s developer surface includes authentication, API reference, documentation, pricing, signup flow, and 15 more developer resources.
Kin Score
Standards implemented 1
Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.
APIs 4
Individual APIs this provider publishes, each with its own machine-readable definition.
AppManAi App Metadata API
An app's store listing — title, developer, category, ratings, metadata.
AppManAi App Metrics API
Measurements of an app over time. Ratings today; more metrics later.
AppManAi App Reviews API
User reviews of an app.
AppManAi App Search API
Finding an app by name, and the apps a store considers similar to it.
Pricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Appmanai Com Rate Limits
RATE LIMITSSpectral Rules 1
Spectral governance rulesets for linting and validating these APIs.
AppManAi API Rules
SPECTRALSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 1
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 4
Pagination, idempotency, versioning, errors, and events
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
Other 2
Properties that don't map to a standard resource type
Source (apis.yml)
AppManAi API — frequently asked questions
Does AppManAi have an API?
Yes. APIs.io lists 4 APIs from AppManAi, including AppManAi App Metadata API, AppManAi App Metrics API and AppManAi App Reviews API, and 1 more.
Is there an OpenAPI specification for the AppManAi API?
Yes. APIs.io indexes 4 OpenAPI specifications for AppManAi, each linked for download from this page.
How do I authenticate with the AppManAi API?
AppManAi documents its authentication (1 scheme). The details are profiled on APIs.io as Appmanai Com Authentication.
How much does the AppManAi API cost?
APIs.io lists 5 pricing plans for AppManAi, with each plan's price, limits and inclusions under Pricing Plans on this page.
Is the AppManAi API ready for AI agents?
AppManAi has a Kin Score of 47.2 out of 100 (developing) and an Agent Readiness score of 38.0 (agent-ready), scored by API Evangelist on 2026-11-02.
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.