Backend Experteaseai Expertease apis

Name: Expertease apis
Brand: Expertease apis
Availability: InStock

✓ Official Vendor SpecAI/MLLanguage Modelsbearer193 EndpointsREST

For Agents

Create and configure AI chatbots, ingest knowledge sources as embeddings, and retrieve conversation analytics for users and bots through the ExpertEase backend.

Install Jentic One Beta

Connect the Expertease apis to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Expertease apis, 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 | sh

Step 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 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 Expertease apis.

Create bots and update their system prompts, model selection, and integration settings

Ingest documents, URLs, and bot files as vector embeddings for retrieval-augmented chat responses

Retrieve conversation transcripts and per-bot conversation statistics over time

GET STARTED

Start building with Expertease apis

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use Expertease apis for, with concrete tasks.

★ Internal Knowledge Bot

Build a chatbot trained on internal company documents that answers employee questions about HR policies, engineering runbooks, or product specs. ExpertEase ingests files via the bot-files endpoints and embeds them into the bot's vector store, so the bot can cite source material in its replies. Setup typically takes under an hour for a single source folder and scales to thousands of documents per bot.

Create a bot named 'HR Helper', upload a PDF policy document via /api/v1/bot-files/, and trigger embedding maintenance on the bot.

Customer Support Deflection

Deploy a customer-facing chatbot that handles tier-1 questions and escalates only when the bot's confidence is low. ExpertEase tracks each conversation, surfaces analytics on resolution rates via the analytics endpoints, and lets admins review transcripts. Conversation stats give product teams a feedback loop on which questions the bot fails to answer.

List all conversations for bot {bot_id} from the last 7 days and pull conversation stats to identify the most common unresolved queries.

Multi-Tenant Bot Operations

Run ExpertEase as a multi-team platform where admins manage bot ownership, transfer bots between users, and monitor usage across the workspace. Admin endpoints expose bot transfers, support queries, feature requests, and the full non-superuser directory. This makes it suitable for agencies and internal platform teams managing many bots on behalf of business units.

Transfer bot {bot_id} from user A to user B via /api/v1/admin/transfer-bot/ and verify the transfer appears in the bot-transfers history.

AI Agent Integration via Jentic

An agent built on Jentic can use ExpertEase to spin up a purpose-built sub-bot for a domain task, embed the relevant context, and run conversational queries against it without exposing JWT credentials to the agent runtime. Jentic stores the bearer token in MAXsystem and exposes only scoped operations the agent needs, like create-bot and post-message.

Search Jentic for 'create an expertease chatbot', load the create-bot operation schema, and execute it with a custom system prompt.

Key Endpoints

193 endpoints — expertease is a chatbot platform that lets teams build, train, and deploy domain-specific bots powered by azure openai models.

METHOD

PATH

DESCRIPTION

GET

/api/v1/bots/

Retrieve a list of bots

POST

/api/v1/bots/

Create a new bot

POST

/api/v1/bot-files/

Upload a knowledge file for a bot

POST

/api/v1/admin/bots/{bot_id}/trigger-maintenance/

Trigger bot embedding maintenance

GET

/api/v1/bots/{bot_id}/conversations/

List conversations for a bot

GET

/api/v1/analytics/realtime/

Retrieve realtime usage analytics

POST

/api/v1/admin/transfer-bot/

Transfer a bot to another user

GET

/api/v1/bots/

Retrieve a list of bots

POST

/api/v1/bots/

Create a new bot

POST

/api/v1/bot-files/

Upload a knowledge file for a bot

POST

/api/v1/admin/bots/{bot_id}/trigger-maintenance/

Trigger bot embedding maintenance

GET

/api/v1/bots/{bot_id}/conversations/

List conversations for a bot

Why Jentic?

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

Credential isolation

JWT bearer tokens for ExpertEase are stored encrypted in the Jentic vault (MAXsystem). The agent receives a scoped operation handle, never the raw JWT, so credentials never enter agent context or logs.

Intent-based discovery

Agents search Jentic with intents like 'create a chatbot' or 'upload a knowledge file' and Jentic returns the matching ExpertEase operation with its input schema, so the agent calls the right endpoint without crawling 193 paths.

Time to first call

Direct ExpertEase integration: 1-2 days for JWT auth, file upload handling, and embedding refresh logic. Through Jentic: under an hour — search for the intent, load the schema, execute.

FAQs

Specific to using Expertease apis through Jentic.

What authentication does the ExpertEase API use?

The API uses HTTP Bearer authentication with JWTs (the jwtAuth scheme). Every request must include an Authorization header containing a JWT issued by the ExpertEase backend. When called through Jentic, the JWT is held in the encrypted vault and never exposed to the agent's context.

Can I upload my own knowledge documents to a bot via the API?

Yes. POST to /api/v1/bot-files/ to upload a file, then the file is embedded into the bot's vector store. After uploading, call /api/v1/admin/bots/{bot_id}/trigger-maintenance/ to refresh embeddings. Per-bot embedding items can be listed or selectively deleted via /api/v1/bots/{bot_id}/embedding-items/.

What are the rate limits for the ExpertEase API?

The OpenAPI spec does not publish explicit rate limits. Limits are enforced by the ExpertEase backend per JWT and tier; check the redoc page at https://backend.experteaseai.com/api/redoc/ for current quotas before high-volume use.

How do I create a new chatbot through Jentic?

Search Jentic for 'create an expertease chatbot', load the schema for POST /api/v1/bots/, then execute with the bot name, system prompt, and selected model. Jentic injects the JWT at execution time so your agent never handles the credential.

Can I get analytics on which endpoints my bots use most?

Yes. GET /api/v1/analytics/endpoints/ returns per-endpoint usage, /api/v1/analytics/realtime/ returns live activity, and /api/v1/analytics/user/{user_id}/ scopes the data to a single user. Export the dataset via /api/v1/analytics/export/ for offline reporting.

How do I transfer a bot to another user?

Admin users can call POST /api/v1/admin/transfer-bot/ with the bot ID and target user ID. The transfer is recorded and visible via GET /api/v1/admin/bot-transfers/ for audit.

Backend Experteaseai Expertease apis

Connect the Expertease apis to your agent

Capabilities

Start building with Expertease apis

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs