Veriton AI Technologies
Documentation

Build with VeritonAI

Comprehensive references, guides, and examples for integrating VeritonOS, CredLayer, and COD Shield into your systems.

Private Beta — Docs are evolving

Quick Start

Get your first agent running in under 10 minutes.

VeritonOS Reference

Kernel primitives, task scheduling, cluster configuration, and observability hooks.

API Reference

REST and gRPC endpoints, authentication, rate limits, and response schemas.

SDKs & Integrations

TypeScript, Python SDKs. Integrations with LangChain, CrewAI, and custom runtimes.

Quick Start

Get started in minutes

VeritonAI infrastructure is accessible via our REST API and TypeScript SDK. During private beta, access requires an API key provisioned by our team.

  1. 1Request API access at info@veritonaitechnologies.com
  2. 2Install the SDK: npm install @veritonai/sdk
  3. 3Initialize with your API key
  4. 4Submit your first agent task
TypeScript — Quick Start
import { VeritonAI } from '@veritonai/sdk';

const client = new VeritonAI({
  apiKey: process.env.VERITONAI_API_KEY,
});

// Submit an agent task
const task = await client.agents.run({
  model: 'veriton-base-v1',
  instruction: 'Summarize this document',
  input: { url: 'https://...' },
});

console.log(task.output);
// { summary: '...', latency_ms: 11 }
API Reference
Method
Endpoint
Description
POST/v1/agents/runTrigger an agent task execution
GET/v1/agents/{id}/statusPoll task status and output
POST/v1/cred/verifyVerify a transaction signature
POST/v1/cod/scoreGet fraud score for a COD order
GET/v1/healthService health check

Full OpenAPI spec available upon request. Reach out at info@veritonaitechnologies.com

SDKs & Integrations
TypeScript
Beta
npm install @veritonai/sdk
Python
Coming Soon
pip install veritonai
REST / HTTP
Available
Any language via HTTPS

Need access or have questions?

We're onboarding early partners now. Get in touch and we'll provision your credentials.

Request API Access