For Developers & Platforms

Your Traffic.
Two Ways to Earn.

Monetize your AI traffic via native ads OR passive semantic data licensing. No intrusive banners required.

Lightweight SDKPassive Data IncomeOptional Ad Display

Built for your Stack

We don't force iframes or ugly banners on you. Our SDK is designed for modern AI applications, giving you full control over the rendering and data flow.

Zero Layout Shift

Pre-allocate space or render conditionally. You control the UI.

Type-Safe SDKs

Native support for TypeScript, and Python. Support for Go and Flutter coming soon.

Privacy First

PII is scrubbed on the edge before it ever reaches our servers.

import { AtheonCodexClient } from '@atheon-inc/codex';

// 1. Initialize
const client = new AtheonCodexClient({ apiKey: process.env.ATHEON_CODEX_API_KEY });

// 2. Get Atheon Unit
const atheonResponse = await client.fetchAndIntegrateAtheonUnit({
    query: "How do I scale Postgres?",
    baseContent: "...your llm generated response..."
});

// 3. Render as usual
const contextWithAtheonUnit = atheonResponse?.response_data?.integrated_content ?? null;
return <LLMResponse data={contextWithAtheonUnit} />
import os
from atheon_codex import AtheonCodexClient, AtheonUnitFetchAndIntegrateModel

# 1. Initialize
client = AtheonCodexClient(
    api_key=os.environ["ATHEON_CODEX_API_KEY"],
)

# 2. Get Atheon Unit
response = client.fetch_and_integrate_atheon_unit(
    AtheonUnitFetchAndIntegrateModel(
        query="How can I write blogs for my website?",
        base_content="...your llm generated response...",
    )
)

# 3. Render as usual
content = fetch_and_integration_result.get("response_data", {}).get(
    "integrated_content"
)
return render_native_ad(content)
import 'package:atheon_codex/codex.dart';

// 1. Initialize
final client = AtheonCodexClient(
  AtheonCodexClientOptions(apiKey: 'YOUR_API_KEY'),
);

// 2. Get Atheon Unit
final atheonResponse = await client.fetchAndIntegrateAtheonUnit(
  AtheonUnitFetchAndIntegrateModel(
    query: "How do I scale Postgres?",
    baseContent: "...your llm generated response...",
  ),
);

// 3. Render as usual
final contextWithAtheonUnit = atheonResponse['response_data']?['integrated_content'];
return LLMResponseWidget(data: contextWithAtheonUnit);
🚧 Coming Soon

Turn prompts into
Product Strategy

Standard analytics tell you that a user visited. We tell you what they were trying to do. Our semantic engine clusters user prompts to reveal usage patterns, missing capabilities, and hidden user needs.

Intent Clustering

Discover what your 40% of "General Chat" users are actually trying accomplish and optimize your application for it.

In-depth Session Analysis

Identify sessions where users re-prompt repeatedly or express negative sentiment, allowing you to debug model performance.

gateway.atheon.ad

Prompt Analysis

Real-time semantic analysis.

Live
Code Generation - 35%
Creative Writing - 30%
Data Analysis - 20%
Other - 15%

Total Queries

1.2M

Re-prompt Rate

21%

How it Works

A simplified integration path for modern engineering teams.

1. Sign up

Create your Atheon account via the Gateway Platform.

2. Set up

Copy and paste one line of code to your site to enable Atheon.

3. Connect SDK

Install Atheon SDK via your package manager. It connects securely to our semantic engine with zero configuration needed for basic telemetry and optional ads.

4. Insights

Access your dashboard to see in-depth user insights. Plus, you start earning data dividends immediately.

5. Enable Ads (Optional)

Ready for 5x revenue? Toggle "Show Ads" in your dashboard. The SDK will begin returning contextual ad payloads to render in your UI.

Estimate your Potential Earnings

See how much you could earn by adding Atheon to your AI application.

Application Type

Monthly Users (MAU)
Prompts per User/Month
Estimated Annual Revenue
Telemetry Revenue:
Ad Revenue:N/A

*Data CPM $6. Ad CPA ~$0.43 (1 CPA = 1 click or 4 ad impressions). Fill rate ~35%.