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Atlas v1 documentation

Understand the system before you operate it.

A standalone guide to the Atlas v1 product for evaluators, developers, administrators, security teams, and operators.

Run the deterministic demo →Explore the architecture →Review implemented controls →

12 topics

Atlas v1

Overview

Atlas concepts, product boundaries, and the v1 evidence model.

  • Product tour
  • Personas
  • Scope and limitations
Atlas v1

Getting started

Run the deterministic public demo without credentials or customer data.

  • Demo quick start
  • Demo boundaries
  • First governed analysis
Atlas v1

Architecture

Modular monolith, control plane, workers, data stores, and public edge.

  • Module boundaries
  • Data model
  • Release architecture
Atlas v1

Security

Identity, tenancy, authorization, query governance, agents, and supply chain.

  • Security model
  • Threat controls
  • Responsible disclosure
Atlas v1

Connectors

SDK contracts, read-only access, credential references, retries, and provider status.

  • PostgreSQL
  • Snowflake
  • BigQuery
Atlas v1

Analytics

Certified metrics, analytical methods, visualization, reports, and automation.

  • Methods
  • Semantic layer
  • Reports
Atlas v1

Agents

Planning, execution, tools, memory, evidence, budgets, safety, and evaluation.

  • Agent system
  • Evaluation
  • Provider boundaries
Atlas v1

Evidence

Citation lineage, verification, artifact integrity, and failure behavior.

  • Evidence ledger
  • Verification
  • Artifact formats
Atlas v1

SDKs

Typed Python and TypeScript clients with safe retries and pagination.

  • Python SDK
  • TypeScript SDK
  • Authentication
Atlas v1

API

Versioned contracts, errors, idempotency, limits, and health endpoints.

  • API conventions
  • Error model
  • Health and readiness
Atlas v1

Deployment

Containers, Compose, Kubernetes, Terraform, observability, release, and DR.

  • Production topology
  • Migrations
  • Rollback and restore
Atlas v1

Administration

Organizations, workspaces, identity, governance, billing, and operations.

  • Onboarding
  • Enterprise identity
  • Billing lifecycle

Quick start

Explore Atlas without installation or credentials.

The public experience uses deterministic fictional data and precomputed verified analyses. It never connects to a customer system, creates an account, or incurs a model or warehouse call.

1. Open app.atlasaionline.com/demo
2. Choose a flagship business question
3. Inspect the governed plan and certified metrics
4. Follow execution, verification, and evidence
5. Review findings, limitations, and the decision brief

Typed SDKs

Call only an authorized Atlas API origin.

Python and TypeScript clients apply bounded timeouts, safe retries, cancellation, redacted errors, and pagination-loop detection. The public production candidate does not expose a customer API.

import os
from atlas_ai_sdk import AtlasClient

with AtlasClient(
    "https://your-authorized-atlas-origin.example",
    token=os.environ["ATLAS_TOKEN"],
) as atlas:
    workspaces = atlas.list_workspaces()
import { AtlasClient } from "@atlas-ai/sdk";

const atlas = new AtlasClient({
  baseUrl: "https://your-authorized-atlas-origin.example",
  token: process.env.ATLAS_TOKEN!,
});
const workspaces = await atlas.listWorkspaces(signal);

External validation status

Some production setup requires external authorization.

  • Snowflake and BigQuery require authorized live accounts.
  • OAuth providers require registered production applications.
  • Email requires an authorized provider and SPF/DKIM review.
  • Customer use requires production infrastructure and enterprise operations.