BettrData.io - Internal API Specification

Name: BettrData.io - Internal API Specification API
Brand: BettrData.io - Internal API Specification
Availability: InStock

★ Only Publicly Available OpenAPI DocumentDeveloper ToolsSource Controlnone27 EndpointsREST

For Agents

Connect the BettrData.io - Internal API Specification to your agent

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

Install Jentic One Beta (Self-Hosted)

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 | sh

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 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 BettrData.io - Internal API Specification API.

Verisons

Mapping of Client name and ID

Persist email templates

Profile a file

GET STARTED

Start building with BettrData.io - Internal API Specification API

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use BettrData.io - Internal API Specification API for, with concrete tasks.

★ Developer Tools Operations

Use the BettrData.io - Internal API Specification to perform developer tools operations programmatically. The API provides 27 endpoints covering core functionality including verisons, mapping of client name and id, persist email templates.

Call GET /versions to verisons

Automated Client Management

Automate client operations by combining multiple BettrData.io - Internal API Specification endpoints. Agents can mapping of client name and id and then persist email templates in a single workflow.

Call GET /ownermap to mapping of client name and id, then verify the result

AI Agent Integration via Jentic

AI agents discover and call BettrData.io - Internal API Specification 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 none tokens manually.

Search Jentic for 'verisons', load the operation schema, and execute with Jentic-managed credentials

Key Endpoints

27 endpoints — swaggerhub.

METHOD

PATH

DESCRIPTION

GET

/versions

Verisons

GET

/ownermap

Mapping of Client name and ID

POST

/email/update-templates

Persist email templates

POST

/file/profile

Profile a file

GET

/owner

Return id, name, and attributes of all clients

GET

/{logType}/log/{id}

returns log

GET

/versions

Verisons

GET

/ownermap

Mapping of Client name and ID

POST

/email/update-templates

Persist email templates

POST

/file/profile

Profile a file

GET

/owner

Return id, name, and attributes of all clients

GET

Why though Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

BettrData.io - Internal API Specification none 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., 'verisons') and Jentic returns the matching BettrData.io - Internal API Specification operation with its input schema, so the agent can call the right endpoint without browsing docs.

Time to first call

Direct BettrData.io - Internal API Specification integration: 1-3 days for auth handling, response parsing, and error cases. Through Jentic: under 1 hour — search, load schema, execute.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Alternative

Github

Alternative developer tools API

Choose Github when you need a different approach to developer tools operations

Alternative

Gitlab

Alternative developer tools API

Choose Gitlab when you need a different approach to developer tools operations

FAQs

Specific to using BettrData.io - Internal API Specification API through Jentic.

What authentication does the BettrData.io - Internal API Specification use?

The BettrData.io - Internal API Specification uses no authentication. 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 verisons with the BettrData.io - Internal API Specification?

Yes. Use the GET /versions endpoint. The API returns structured JSON responses that agents can parse and act on directly.

What are the rate limits for the BettrData.io - Internal API Specification?

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 verisons through Jentic?

Install the Jentic SDK with pip install jentic, authenticate at https://app.jentic.com/sign-up, then search for 'verisons'. Jentic returns the matching BettrData.io - Internal API Specification operation with its input schema. Load the schema and execute the call — credentials are injected automatically.

How many endpoints does the BettrData.io - Internal API Specification have?

The BettrData.io - Internal API Specification exposes 27 endpoints covering client, compile, convert operations.