Install Jentic One Beta

Connect the Edgegap v2 API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Edgegap v2 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%2Fedgegap.com%2Fedgegap" | 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%2Fedgegap.com%2Fedgegap" | 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 Edgegap v2 API.

Deploy a containerized application to the Edgegap edge network

Deploy an application to a private fleet of your own hosts

List the hosts registered in a private fleet

Use Cases

Patterns agents use Edgegap v2 API for, with concrete tasks.

★ Agent-Driven Edge Deployment via Jentic

AI agents deploy to Edgegap through Jentic without holding the API key in context. An agent searches by intent, receives the deployment schema, and launches a containerized workload at the edge end to end. Jentic injects the key at execution time, so the agent never sees the secret while it places servers close to end users.

GET STARTED

Start building with Edgegap v2 API

Explore with Jentic One

View OpenAPI Document

Latency-Optimized Game Server Deployment

An agent responds to a spike in players by deploying a fresh game server instance to the edge, where Edgegap places it near the players to cut round-trip latency. The agent can repeat this per region or match, scaling capacity where demand appears instead of running fixed central servers.

Call POST /deployments to place a game server container at the edge location closest to the players

Private Fleet Deployment

An agent that manages its own hardware lists the hosts registered in a private fleet, confirms which are available, and then deploys the application onto that fleet. This keeps workloads on infrastructure the operator controls while still using Edgegap's deployment pipeline.

Call GET /private-fleets/{fleet-name}/hosts to check host availability, then POST /private-fleets/deployments to deploy

Key Endpoints

3 endpoints — the edgegap v2 api lets ai agents deploy containerized applications onto edgegap's global edge network.

METHOD

PATH

DESCRIPTION

POST

/deployments

Deploy a containerized application to the edge network

POST

/private-fleets/deployments

Deploy an application to a private fleet

GET

/private-fleets/{fleet-name}/hosts

List the hosts registered in a private fleet

POST

/deployments

Deploy a containerized application to the edge network

POST

/private-fleets/deployments

Deploy an application to a private fleet

GET

/private-fleets/{fleet-name}/hosts

List the hosts registered in a private fleet

Why Jentic?

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

Setup

Wiring the Edgegap v2 API by hand means setting the Authorization API key header and shaping the deployment request for the edge network or a private fleet yourself. Through Jentic you install once, import the Edgegap v2 API from the API Directory, store the key, and your agent calls it.

Permission scoping

You choose which Edgegap operations your agent may call, so a rule can let it list fleet hosts and deploy while keeping other operations out. Scoping is by operation, so a deployment call runs only when you grant it.

Credential isolation

Your Edgegap API key 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 'deploy to the edge' or 'list fleet hosts', and Jentic returns the matching Edgegap operation with its input schema so the agent calls the right endpoint without browsing the reference docs.

FAQs

Specific to using Edgegap v2 API through Jentic.

What authentication does the Edgegap v2 API use?

The Edgegap v2 API authenticates requests with an API key passed in the Authorization header, per its OpenAPI spec. Through Jentic, the key is stored encrypted by your own Jentic One instance and injected at call time, so it never enters the agent's prompt or logs.

Can I deploy to a private fleet with the Edgegap v2 API?

Yes. Deploy to your own hosts with POST /private-fleets/deployments, and list the hosts in a fleet with GET /private-fleets/{fleet-name}/hosts before you deploy.

What are the rate limits for the Edgegap v2 API?

The OpenAPI spec does not specify rate limits; check the Edgegap documentation for current limits. Through Jentic, requests run from your own instance, so you control the pacing of the agent's calls.

How do I deploy an application with the Edgegap v2 API through Jentic?

Search Jentic for 'deploy an Edgegap application', load the returned POST /deployments operation with its input schema, and your agent launches the deployment with credentials injected at call time. To run it on your own infrastructure, install Jentic One from its GitHub repo.

Is there an Edgegap MCP server?

You don't need an MCP server to give your agent the Edgegap v2 API. Jentic connects it directly from the API Directory: import it, store your key, and your agent calls it, discovering operations on demand instead of loading a separate server's tool definitions into its context.

Can I limit what my agent is allowed to do with the Edgegap v2 API?

Yes. You choose which Edgegap operations your agent may call, so you can let it list fleet hosts without launching a deployment, or restrict it to fleet deployments only. Scoping is by operation, so the agent invokes only the endpoints you approve.

Edgegap v2 API

AI ReadinessAI-Aware (B+)69/100

See full scorecard

Official vendor OpenAPI document · agent-readyCloud InfrastructureContainer OrchestrationapiKey3 EndpointsREST

For Agents

Deploy containerized applications to the Edgegap edge network or a private fleet, and list fleet hosts. Authenticates with an API key.

Use for: I want to deploy a game server to the Edgegap edge network, Deploy my application to a private fleet, List the hosts in one of my private fleets, Place a container at the lowest-latency location for my players

Not supported: Does not build container images or manage billing. Use for edge and private-fleet deployment only.

The Edgegap v2 API lets AI agents deploy containerized applications onto Edgegap's global edge network. An agent submits a deployment and Edgegap places the container at a low-latency location close to the end users, which suits multiplayer game servers and other latency-sensitive workloads. Agents can also target a private fleet of their own hosts and list the machines registered in that fleet before deploying. Every request carries an API key.

Jentic One on Github View OpenAPI Document

Show dimension breakdown

100

Foundational Compliance

Base layer of spec validity and structural soundness.

Grade: A+Signals: 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).

100%

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: ASignals: 4

48%

Example Density

How richly the API is illustrated with examples.

100%

Example Validity

Percentage of examples that conform to their schemas.

75%

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: C-Signals: 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.

50%

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: C-Signals: 1

50%

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: BSignals: 1

67%

Descriptive Richness

Clarity and depth of descriptions across API elements.

Connect the Edgegap v2 API to your agent

Capabilities

Use Cases

Start building with Edgegap v2 API

Key Endpoints

Why Jentic?

Related APIs

FAQs

Edgegap v2 API

Jentic AI Readiness Score

Edgegap v2 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