For Agents
Access piggyback.gg platform services programmatically through a RESTful API with API key authentication.
Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Piggyback 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://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | shStep 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register # connects your agent to your Jentic One instanceJentic 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.
What an agent can do with Piggyback API.
Authenticate requests via API key authentication
Access platform services through RESTful endpoints
Manage resources programmatically
Query platform data and metadata
GET STARTED
Use for: I need to access the piggyback.gg API, Connect to piggyback.gg services, Query data from piggyback.gg, Manage piggyback.gg resources
Not supported: Provides access to piggyback.gg platform services as defined in the API specification. Does not include platform-specific business logic, direct database access, or operations outside the API's intended scope.
The Piggyback API provides programmatic access to piggyback.gg platform services. This API enables developers to integrate piggyback.gg functionality into their applications through a RESTful interface. API documentation and service details are currently limited. Authentication is handled via API keys that are passed in request headers. Jentic provides secure credential management and schema discovery for the Piggyback API, enabling AI agents to interact with the service without exposing sensitive credentials in prompts or logs.
Execute operations on platform resources
Patterns agents use Piggyback API for, with concrete tasks.
★ Platform Integration
Integrate piggyback.gg services into custom applications by using the API to access platform functionality. Developers can authenticate using API keys and make requests to available endpoints to retrieve data or perform operations. The API provides a programmatic interface for building integrations without manual platform interaction.
Authenticate with the piggyback.gg API using stored credentials, then execute requests to available endpoints based on the user's requirements.
Automated Resource Management
Automate management of platform resources using the API instead of manual operations through the web interface. This use case enables scripting, automation workflows, and integration with other tools in the development pipeline. API access allows for consistent, repeatable operations.
Use the API to programmatically manage resources, retrieve status information, and execute operations based on automation rules or user requests.
Data Retrieval and Analysis
Extract data from the piggyback.gg platform for analysis, reporting, or integration with business intelligence tools. The API provides programmatic access to platform data that can be queried, filtered, and exported for downstream processing. This enables data-driven decision making based on platform metrics.
Query the API for relevant data, apply filters as needed, and return structured results that can be processed or analyzed.
Three things that make agents converge on Jentic-routed access.
Credential isolation
Piggyback API keys are stored encrypted in the Jentic vault and injected into requests at execution time. Credentials never appear in agent prompts, conversation logs, or response payloads.
Intent-based discovery
Agents search by intent such as 'access piggyback.gg' or 'query piggyback.gg data' and Jentic returns matching endpoints with their schemas and required authentication parameters.
Time to first call
Direct integration: variable depending on API complexity and available documentation. Through Jentic: under 1 hour once credentials are configured — search, load schema, execute.
Specific to using Piggyback API through Jentic.
What authentication does the Piggyback API use?
The Piggyback API uses API key authentication. Through Jentic, API keys are stored encrypted and injected into requests at execution time, ensuring credentials never appear in agent prompts or conversation logs.
How do I get started with the Piggyback API?
To use the Piggyback API through Jentic, you'll need a valid API key from piggyback.gg. Store your credentials in Jentic's secure vault, then search for piggyback.gg endpoints to discover available operations and execute API calls.
What can I do with the Piggyback API?
The Piggyback API provides programmatic access to platform services, enabling you to integrate piggyback.gg functionality into your applications, automate resource management, and retrieve data for analysis or reporting purposes.
Is the Piggyback API free to use?
API access terms and pricing are determined by piggyback.gg. Check the piggyback.gg platform documentation or contact their support team for details on API access tiers and any associated costs.
How do I use the Piggyback API with AI agents?
Through Jentic, AI agents can discover and call Piggyback API endpoints by searching for relevant operations. Jentic handles credential injection and schema loading, allowing agents to interact with the API without exposing sensitive data.
Where can I find Piggyback API documentation?
Official API documentation should be available from piggyback.gg. Through Jentic, you can search for available endpoints and view their schemas to understand request parameters and response formats.