Develop AI Agents with One Unified Connection

AI agents are hard to build when tools, models, and workflows are scattered. Connecteal gives you a single API layer that integrates across the AI production lifecycle with every layer fine-tuned for real agentic use cases.

BUILT WITH SUPPORT OF

Why Connecteal Exists

From Connecting Tools to Controlling Them

Because AI agents shouldn’t just talk
they should act.

Most AI platforms stop at “connections.” They let AI call an API, but that’s not enough. Connecteal goes further by giving AI a real tool handler.

Agents can run custom functions, manage workflows, and actually carry out tasks end-to-end.

Designed to move fast

Eliminate months of custom integrations – adopt AI in days, not quarters.

Crafted for Customization

Every layer is fine-tunable: tools, models, workflows, even orchestration logic.

Your Stack, Your Rules

Code in any language

No matter your stack
Python, Node.js, Go, or Rust

Connecteal’s API plugs into your environment with ease.

				
					from connecteal import Client  

client = Client(api_key="your_key")  
client.run(agent="research_agent", tools=["supabase", "pinecone", "vertex_ai"])

Python

JavaScript

Java

Markdown

TypeScript

C++

Powershell

JSON

Research gRADE

Built for Agentic Standards

0 +

Ready connections to databases, vectors, and models.

0 Unified API

Standardize every integration into a single connection.

0

Proven Use Cases

WHY CONNECTEAL

Connecteal is the missing layer.

It gives AI a real tool handler that works alongside LangChain (and other frameworks) – so your agents can:

Call the right tool at the right time
Run custom functions built for your workflow
Connect across any platform with a single API

Tools insight

Build, Orchestrate & Fine-Tune

Orchestrate an agent

Run agents with one API call across tools and models.

				
					# orchestrate.py
import requests

API_KEY = "YOUR_CONNECTEAL_KEY"
BASE    = "https://api.connecteal.ai/v1"

def run_research_agent(query: str):
    payload = {
        "agent": "research_agent",
        "tools": ["supabase", "pinecone", "vertex_ai"],
        "input": {"query": query}
    }
    r = requests.post(f"{BASE}/agents/run", json=payload,
                      headers={"Authorization": f"Bearer {API_KEY}"}, timeout=30)
    r.raise_for_status()
    return r.json()  # { result, steps, trace_id }

if __name__ == "__main__":
    print(run_research_agent("compare retinol vs bakuchiol efficacy for sensitive skin"))

Fine-tune tool behavior

Adjust settings without touching core code.

				
					import fetch from "node-fetch";
const API_KEY="YOUR_KEY", BASE="https://api.connecteal.ai/v1";

async function tune() {
  const body={profileId:"lab-fast-iter",
    defaults:{model:"gpt-4o-mini",temperature:0.2},
    toolPolicies:{supabase:{timeoutMs:6000},pinecone:{retries:2}}};
  const p=await fetch(`${BASE}/tool-profiles`,{
    method:"PUT",headers:{Authorization:`Bearer ${API_KEY}`,"Content-Type":"application/json"},
    body:JSON.stringify(body)}).then(r=>r.json());
  await fetch(`${BASE}/agents/research_agent/profile/${p.profileId}`,{method:"POST",headers:{Authorization:`Bearer ${API_KEY}`}});
  console.log("Profile applied:",p.profileId);
}
tune();

Built with Strong Foundations

Backed by the Tools You Trust

Works with LangChain for orchestration, tuned by Unsloth AI for efficiency, powered by PostgreSQL for reliability – and ready to connect with your favorite tools.