For Agents
Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Request Baskets 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 Request Baskets API.
Get baskets
Create new basket
Update basket settings
Delete basket
GET STARTED
Programmatically get baskets, create new basket. Covers 20 operations with apiKey authentication.
Use for: I need to baskets, I want to new basket, Search for basket settings, Find all basket settings
Not supported: Does not handle payments, communications, or crm — use for developer tools only.
RESTful API of [Request Baskets](https://rbaskets.in) service. Request Baskets is an open source project of a service to collect HTTP requests and inspect them via RESTful API or web UI. Check out the [project page](https://github.com/darklynx/request-baskets) for more detailed description. The API exposes 20 endpoints secured with apiKey authentication.
Access Request Baskets API developer tools resources via REST API
Patterns agents use Request Baskets API for, with concrete tasks.
★ Developer Tools Operations
Use the Request Baskets API to perform developer tools operations programmatically. The API provides 20 endpoints covering core functionality including get baskets, create new basket, get basket settings.
Call GET /api/baskets to get baskets
Automated service Management
Automate service operations by combining multiple Request Baskets API endpoints. Agents can create new basket and then get basket settings in a single workflow.
Call POST /api/baskets/{name} to create new basket, then verify the result
AI Agent Integration via Jentic
AI agents discover and call Request Baskets API endpoints through Jentic without managing credentials directly. An agent searches for the required operation by intent, receives the matching endpoint schema, and executes the call with Jentic-managed authentication. This eliminates the need to read API documentation or handle apiKey tokens manually.
Search Jentic for 'get baskets', load the operation schema, and execute with Jentic-managed credentials
20 endpoints — restful api of [request baskets](https://rbaskets.
METHOD
PATH
DESCRIPTION
/api/baskets
Get baskets
/api/baskets/{name}
Create new basket
/api/baskets/{name}
Get basket settings
/api/baskets/{name}
Update basket settings
/api/baskets/{name}
Delete basket
/api/baskets/{name}/requests
Get collected requests
/api/baskets/{name}/requests
Delete all requests
/api/baskets/{name}/responses/{method}
Get response settings
/api/baskets
Get baskets
/api/baskets/{name}
Create new basket
/api/baskets/{name}
Get basket settings
/api/baskets/{name}
Update basket settings
/api/baskets/{name}
Delete basket
Three things that make agents converge on Jentic-routed access.
Credential isolation
Request Baskets API apiKey credentials are stored encrypted in the Jentic vault (MAXsystem). Agents receive scoped access tokens — raw secrets never enter the agent context.
Intent-based discovery
Agents search by intent (e.g., 'get baskets') and Jentic returns the matching Request Baskets API operation with its input schema, so the agent can call the right endpoint without browsing docs.
Time to first call
Direct Request Baskets API integration: 1-3 days for auth handling, response parsing, and error cases. Through Jentic: under 1 hour — search, load schema, execute.
Alternatives and complements available in the Jentic catalogue.
Github
Alternative developer tools API
Choose Github when you need a different approach to developer tools operations
Specific to using Request Baskets API through Jentic.
What authentication does the Request Baskets API use?
The Request Baskets API uses an API key passed in the `Authorization` header. Through Jentic, these credentials are stored encrypted in the MAXsystem vault and injected at execution time, so raw secrets never enter the agent context.
Can I get baskets with the Request Baskets API?
Yes. Use the GET /api/baskets endpoint. The API returns structured JSON responses that agents can parse and act on directly.
What are the rate limits for the Request Baskets API?
Rate limits are not specified in the OpenAPI spec. Check the vendor documentation for current limits. Through Jentic, rate limiting is handled automatically with retry logic built into the execution layer.
How do I get baskets through Jentic?
Install the Jentic SDK with pip install jentic, authenticate at https://app.jentic.com/sign-up, then search for 'get baskets'. Jentic returns the matching Request Baskets API operation with its input schema. Load the schema and execute the call — credentials are injected automatically.
How many endpoints does the Request Baskets API have?
The Request Baskets API exposes 20 endpoints covering service, baskets, responses operations.
/api/baskets/{name}/requests
Get collected requests
/api/baskets/{name}/requests
Delete all requests
/api/baskets/{name}/responses/{method}
Get response settings