Install Jentic One Beta

Connect the AppSkyline API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the AppSkyline API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fappskyline.com%2Fappskyline" | sh

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fappskyline.com%2Fappskyline" | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with AppSkyline API.

Track apps in a workspace and read their App Store engagement rows

Add, update, and remove the keywords tracked for an app

Read Apple App Store engagement data for tracked apps

Start a rank check in the sandbox and poll it for results

Group several collection reads into one batch request

GET STARTED

Start building with AppSkyline API

Explore with Jentic One

View OpenAPI Document

Use Cases

Patterns agents use AppSkyline API for, with concrete tasks.

★ Keyword Rank Tracking

An agent maintains a set of tracked keywords for an app and reads their rank over time to guide optimization. AppSkyline lets the agent add keywords, poll rank checks, and subscribe to webhooks so rank movements arrive without constant polling, keeping an ASO dashboard current.

Call POST /api/keywords to track a term, then GET /api/keywords to read its tracked rank for the app

App Portfolio Monitoring

A monitoring workflow lists the apps in a workspace and reads their Apple App Store engagement rows, grouping several collection reads into one batch call. The agent pulls engagement and keyword data per app so a portfolio view stays up to date without separate requests for each resource.

Call GET /api/apps to list the workspace apps, then POST /api/batch to read their engagement rows in one request

AI Agent Integration via Jentic

An AI agent reaches the AppSkyline API through Jentic without handling the Basic credential itself. It searches by intent, receives the matching operation with its input schema, and executes the call with the credential injected at run time, so keyword tracking and rank reads become steps in a larger ASO workflow.

Search Jentic for 'track an app keyword', load the POST /api/keywords schema, and execute it with Jentic-managed credentials

Key Endpoints

18 endpoints — the appskyline api tracks apps and keywords for app store optimization and reports how they rank.

METHOD

PATH

DESCRIPTION

GET

/api/apps

List tracked apps

POST

/api/apps

Create a tracked app

GET

/api/keywords

List tracked keywords

POST

/api/keywords

Add a tracked keyword

GET

/api/apple-app-store-engagement

Read Apple App Store engagement rows

POST

/api/batch

Read multiple collections in one request

POST

/api/webhooksubscriptions

Create a webhook subscription

GET

/api/sandbox/keywords

Read sandbox keyword ranks without authentication

GET

/api/apps

List tracked apps

POST

/api/apps

Create a tracked app

GET

/api/keywords

List tracked keywords

POST

/api/keywords

Add a tracked keyword

GET

/api/apple-app-store-engagement

Read Apple App Store engagement rows

POST

/api/batch

Read multiple collections in one request

POST

/api/webhooksubscriptions

Create a webhook subscription

GET

/api/sandbox/keywords

Read sandbox keyword ranks without authentication

Why Jentic?

What agents get from Jentic-routed access to this vendor.

Setup

Wiring AppSkyline by hand means base64-encoding your key secret for Basic auth, or managing an access token, and tracking per-resource scopes yourself. Through Jentic you install once, import AppSkyline from the API Directory, store the credential once, and your agent calls it.

Permission scoping

AppSkyline carries the app and keyword ids inside each request, so a rule bounds which operations your agent may call. You choose the operations it may use, such as the read and sandbox rank-check operations, so the create, update, and delete operations are not included unless you add them.

Credential isolation

Your AppSkyline credential is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.

Intent-based discovery

Agents search Jentic by intent such as 'track an app keyword' or 'read app engagement rows', and Jentic returns the matching AppSkyline operation with its input schema so the agent calls the right endpoint without browsing the reference docs.

FAQs

Specific to using AppSkyline API through Jentic.

What authentication does the AppSkyline API use?

The AppSkyline API authenticates with HTTP Basic auth using a base64-encoded key secret, or with an access token in the Authorization header, per its OpenAPI spec, and keys carry per-resource scopes such as keywords:read or apps:write. The three sandbox endpoints need no credential. Through Jentic the credential is stored encrypted by your own Jentic One instance and injected at execution time, so it never reaches the agent.

Can I track keyword rankings for an app with the AppSkyline API?

Yes. POST /api/keywords adds a keyword to track for an app, GET /api/keywords lists the tracked keywords, and the sandbox rank-check endpoints let you try a rank check before wiring credentials. Webhook subscriptions deliver rank updates so you do not have to poll continuously.

What are the rate limits for the AppSkyline API?

The AppSkyline OpenAPI spec does not specify rate limits. Watch for HTTP 429 responses and check AppSkyline's documentation for the current limits before running large batches of rank checks.

How do I track an app keyword with the AppSkyline API through Jentic?

Search Jentic for 'track an app keyword', and it returns the AppSkyline operation with its input schema. Load the schema and execute POST /api/keywords with the credential injected at run time. To run it on your own infrastructure, install Jentic One from its GitHub repo.

Is there an AppSkyline MCP server?

You don't need an MCP server to give your agent the AppSkyline API. Jentic connects it directly from the API Directory: import it, store your credential once, and your agent calls the tracking and rank operations it needs. Operations are discovered on demand, so no extra server's tool definitions sit in the agent's context.

Can I limit what my agent is allowed to do with the AppSkyline API?

Yes. Write a rule that allows only the read operations and the sandbox rank checks, so the agent can list apps and read ranks while the create, update, and delete operations stay off the table. Keys also carry per-resource scopes, and every call runs through your own instance where it is logged for review.

AppSkyline API

AI ReadinessFoundational (C+)60/100

See full scorecard

Official vendor OpenAPI document · agent-readyMarketingSeo Sembasic, apiKey18 EndpointsREST

For Agents

Track apps and keywords for ASO and read how they rank: manage apps and keywords, read App Store engagement rows, run rank checks, and subscribe to rank-update webhooks. Authenticate with HTTP Basic or an access token; sandbox endpoints are open.

Use for: List the apps tracked in my workspace, Add a keyword to track for an app, Get the Apple App Store engagement rows for an app, Check the rank of a tracked keyword

Not supported: Does not submit apps to the stores, run ad campaigns, or manage store listings. Use for tracking apps and keywords and reading their ranks only.

The AppSkyline API tracks apps and keywords for app store optimization and reports how they rank. It lists and manages the apps and keywords in a workspace, reads Apple App Store engagement rows, and runs rank checks that a caller can poll for results. A batch endpoint reads several collections in one request, webhook subscriptions deliver rank updates, and a set of unauthenticated sandbox endpoints lets a caller try rank checks before wiring credentials.

Jentic One on Github View OpenAPI Document

Show dimension breakdown

Foundational Compliance

Base layer of spec validity and structural soundness.

Grade: ASignals: 4

98%

Lint Results

Aggregated quality score from linter diagnostics, weighted by severity.

100%

Resolution Completeness

Percentage of `$ref` references that resolve successfully.

100%

Specification Validity

Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).

25%

Structural Integrity

Structural correctness score based on schema issues using logarithmic dampening.

Developer Experience & Jentic Compatibility

Clarity, completeness, and ingestion readiness for developers and tooling.

Grade: B-Signals: 4

Example Density

How richly the API is illustrated with examples.

100%

Example Validity

Percentage of examples that conform to their schemas.

44%

Response Coverage

Percentage of operations with complete response definitions (success, client error, server error).

100%

Tooling Readiness

Health of API ingestion, bundling, and resolution within Jentic pipelines.

AI-Readiness & Agent Experience

Semantic breadth, depth, and agent comprehension for AI systems.

Grade: CSignals: 4

56%

Description Coverage

Coverage of descriptions across API elements.

Error Standardization

Coverage of RFC 9457 Problem Details for error responses.

100%

OperationId Quality

Coverage, uniqueness, and casing consistency of operationIds for AI inference.

62%

Summary Coverage

Coverage of summaries across operations/tags/info.

Agent Usability

Functional utility, complexity comfort, and AI orchestration readiness.

Grade: A+Signals: 1

94%

Complexity Comfort

Agent comfort level based on API operational and structural complexity.

Security

Trust, risk posture, and security compliance.

Grade: FSignals: 1

30%

Authentication Strength

Average quality of security schemes based on authentication method strength (weakest link for OAuth2).

AI Discoverability

Findability, semantic richness, and reasoning readiness.

Grade: A-Signals: 1

75%

Descriptive Richness

Clarity and depth of descriptions across API elements.

Connect the AppSkyline API to your agent

Capabilities

Start building with AppSkyline API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs

AppSkyline API

Jentic AI Readiness Score

AppSkyline API

Foundational Compliance

Lint Results

Resolution Completeness

Specification Validity

Structural Integrity

Developer Experience & Jentic Compatibility

Example Density

Example Validity

Response Coverage

Tooling Readiness

AI-Readiness & Agent Experience

Description Coverage

Error Standardization

OperationId Quality

Summary Coverage

Agent Usability

Complexity Comfort

Security

Authentication Strength

AI Discoverability

Descriptive Richness