Brainshop.ai API

Name: Brainshop.ai API API
Brand: Brainshop.ai API
Availability: InStock

★ Only Publicly Available OpenAPI DocumentAI/MLLanguage ModelsapiKey1 EndpointsREST

For Agents

Send a user message to a Brainshop AI brain and get back an intelligent text response, with conversation state tracked per user ID.

Quickstart

Get started with Brainshop.ai API in minutes using your preferred integration method.

# Add to your MCP client config (Claude Desktop, Cursor, Windsurf)
{
  "jentic": {
    "url": "https://api.jentic.com/mcp",
    "auth": "oauth"
  }
}

# Then ask your agent:
"send a message to a chatbot brain"

# → Jentic returns the GET /events tool with parameter schema, agent executes.

Capabilities

What an agent can do with Brainshop.ai API API.

Send a user message to a Brainshop AI brain via GET /get and receive a generated reply

Maintain per-user conversation context by passing a stable uid query parameter on each call

Route messages to a specific brain configuration using the bid (brain ID) parameter

Authenticate every request with an API key passed as the key query parameter

GET STARTED

Start building with Brainshop.ai API API

Explore with Jentic

View OpenAPI Document

Jentic publishes the only available OpenAPI document for Brainshop.ai API, keeping it validated and agent-ready.

Jentic publishes the only available OpenAPI specification for Brainshop.ai API, keeping it validated and agent-ready. Brainshop.ai is a chatbot platform that lets developers send a user message to a configured AI brain and receive a natural-language reply, with conversation context maintained per user identifier. The service is exposed through a single GET /get endpoint that takes a brain ID, API key, user ID, and message as query parameters. It suits lightweight chatbot integrations in messaging apps, support widgets, and prototype assistants where a hosted NLP brain is preferable to running a local model.

Use Cases

Patterns agents use Brainshop.ai API API for, with concrete tasks.

★ Customer support chatbot widget

Embed a lightweight support assistant on a website by forwarding visitor messages to a Brainshop brain and rendering the reply in a chat bubble. Each visitor session uses a stable uid so the brain keeps multi-turn context across messages. This avoids hosting a local language model and keeps integration to a single GET request per turn.

Call GET /get with bid=178, key={API_KEY}, uid=visitor_42, msg=What are your business hours? and return the cnt field from the JSON response.

Messaging-app conversational bot

Bridge a messaging platform like Telegram, Discord, or Slack to a Brainshop brain by forwarding inbound user messages to GET /get and posting the reply back to the channel. Using the platform user ID as uid preserves conversational state per person across sessions.

On every inbound message in Discord, call GET /get with bid={BRAIN_ID}, uid={discord_user_id}, msg={message_text} and post the reply text back to the channel.

Prototype assistant for product validation

Stand up a working conversational prototype in hours rather than days by pointing a frontend at Brainshop instead of training or hosting a model. Useful for validating chatbot UX, scripting demo flows, or running internal pilots before committing to a full LLM stack.

Wire a React form input to GET /get with a fixed bid and uid, then display the returned cnt field below the input as the assistant reply.

AI agent integration via Jentic

An agent that needs to ask a hosted conversational brain a question can discover Brainshop through Jentic search, load the schema for the sendMessage operation, and execute it without storing the API key in agent memory. Jentic handles credential isolation and parameter validation.

Through Jentic, search for 'send a message to a chatbot brain', load the sendMessage operation, and execute it with the brain ID and user message supplied by the caller.

Key Endpoints

1 endpoints — jentic publishes the only available openapi specification for brainshop.

METHOD

PATH

DESCRIPTION

GET

/get

Send a message to a Brainshop AI brain and receive an intelligent reply

GET

/get

Send a message to a Brainshop AI brain and receive an intelligent reply

Why though Jentic?

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

Credential isolation

The Brainshop API key is stored encrypted in the Jentic vault and injected as the key query parameter only at execution time. Agents call sendMessage by intent, never see the raw key, and key rotation happens centrally without redeploying agent code.

Intent-based discovery

Agents search Jentic for intents like 'send a message to a chatbot brain' and Jentic returns the Brainshop sendMessage operation with its bid, uid, and msg parameter schema, so the agent can call it without browsing brainshop.ai docs.

Time to first call

Direct Brainshop integration: a few hours to wire query parameters, error handling, and key storage. Through Jentic: under 15 minutes — search, load, execute.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Complementary

Braze API

Use Braze for multi-channel customer messaging campaigns alongside Brainshop's conversational replies

Choose Braze when the agent needs to send a templated push, email, or SMS to a customer; use Brainshop when it needs a free-form conversational reply.

Complementary

Breeze API

Pair Breeze CRM with Brainshop to log conversational interactions back to a contact record

Use Breeze when the agent needs to record the chat outcome on a CRM contact; use Brainshop when it needs to generate the reply itself.

Complementary

Breadcrumbs API

Score leads in Breadcrumbs based on chatbot engagement captured through Brainshop

Use Breadcrumbs when the agent needs to compute or update a lead score from chatbot activity; use Brainshop only for the conversational exchange.

FAQs

Specific to using Brainshop.ai API API through Jentic.

Why is there no official OpenAPI spec for Brainshop.ai API?

Brainshop.ai does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call Brainshop.ai API via structured tooling. It is validated against the live API and kept up to date. Get started at https://app.jentic.com/sign-up.

What authentication does the Brainshop.ai API use?

The API uses a simple API key passed as the key query parameter on GET /get, alongside the brain ID (bid). Jentic stores the key in its credential vault and injects it at execution time, so the raw key is never exposed to agent prompts or logs.

How do I keep conversation context across turns with the Brainshop.ai API?

Pass a stable uid query parameter on every call to GET /get. The brain associates messages with that uid to preserve dialogue state, so reuse the same uid for the same end user across turns and start a new uid for a new conversation.

What are the rate limits for the Brainshop.ai API?

The OpenAPI spec does not declare rate limits. Brainshop applies per-brain limits tied to the plan attached to your bid; check your account at brainshop.ai for current quotas before high-volume use.

How do I send a chatbot message with the Brainshop.ai API through Jentic?

Search Jentic for 'send a message to a chatbot brain', load the sendMessage operation, then execute with bid, uid, and msg. Install with pip install jentic and use the async pattern: await client.search, await client.load, await client.execute.

Is the Brainshop.ai API free?

Brainshop.ai offers a free tier sufficient for prototyping with a single brain and limited daily traffic. Paid plans on brainshop.ai raise the request quota and unlock additional brain configurations.