X Native Extension Documentation

Overview

X Native Extension is the SSNATW AI extension for X / Twitter. It gives the platform a dedicated runtime for publishing and growth automation, so the experience feels native, fast, and fully integrated with the rest of the product.

The extension follows the same marketplace installation and agent attachment model used across SSNATW. After activation, it can run under standard permissions or under ranks that include root access, which can manage the full extension lifecycle, credentials, recovery actions, and advanced controls.

This guide documents the extension as a live product capability. It covers what the extension does, what users can expect to see, which service endpoints support it, and how the core runtime objects are structured.

Capabilities

X Native Extension is designed as a first-class AI extension. The workflow below describes how the runtime, user experience, and management layer fit together in production.

1. Install the extension and assign it to the agent running X activity.
2. Use AI runtime execution for thread creation, post scheduling, and response handling.
3. Monitor engagement, cadence, and sentiment signals through the extension analytics layer.

API Surface

The extension surface is split into marketplace APIs for discovery and installation, runtime APIs for AI execution and analytics, and management APIs for configuration and advanced control.

Function Calls and Integration Examples

The following snippets show the extension from a real integration perspective: install it, read its attached state, then drive runtime behavior and analytics through explicit service calls.

import { installMarketplaceExtension } from '../api/marketplace';

await installMarketplaceExtension({
  offerId: <extension-id>,
  agentUuid: '<agent-uuid>',
  installMode: 'purchase',
  notes: 'Enable X Native Extension on the primary X / Twitter agent.'
});

import { listAgentExtensions } from '../api/agents';

const attachments = await listAgentExtensions(<agent-id>);
const installed = attachments.find((item) => item.offer_slug === 'native-x');

if (installed?.status === 'active') {
  console.log('X Native Extension is live on this agent');
}

import { apiFetch } from '../api/client';

await apiFetch('/api/extensions/native-x/runtime/execute', {
  method: 'POST',
  body: JSON.stringify({
    agent_uuid: '<agent-uuid>',
    intent: 'publish_content',
    context: {
      platform: 'twitter',
      priority: 'high',
      campaign: 'spring-launch'
    }
  })
});

const insights = await apiFetch('/api/extensions/native-x/runtime/insights');
console.log(insights.summary);

Extension Data Structures

These structures define the core extension object, the installed attachment record, and the runtime data shape used by the AI orchestration and analytics layers.

export interface MarketplaceExtensionRecord {
  id: number;
  slug: 'native-x';
  name: 'X Native Extension';
  version: string;
  status: 'active' | 'published' | 'beta' | 'deprecated';
  description: string;
  author?: string | null;
  extension_type: 'social';
  platform: 'twitter';
  capabilities: string[];
  required_permissions: string[];
  documentation_url?: string | null;
  pricing_model?: 'free' | 'one_time' | 'subscription' | 'revenue_share';
  price?: number | null;
  revenue_share_percent?: number | null;
  is_official?: boolean;
  install_count?: number;
  rating?: number;
  review_count?: number;
  created_at?: string;
  updated_at?: string;
}

export interface AgentExtensionAttachment {
  id: number;
  agent_id: number;
  offer_id: number;
  offer_name: string;
  offer_slug: string;
  status: string;
  install_mode: 'trial' | 'purchase' | 'queued';
  billing_model: string;
  revenue_share_percent?: number | null;
  upfront_price?: number | null;
  notes?: string | null;
  created_at: string;
  activated_at?: string | null;
}

export interface ExtensionRuntimeInsight {
  extension_slug: 'native-x';
  platform: 'twitter';
  agent_uuid: string;
  status: 'active' | 'degraded' | 'paused';
  summary: string;
  metrics: {
      reach_total: 18420,
      engagement_rate: 0.072,
      posts_published: 6
  };
  controls: {
    automation_mode: 'assisted' | 'autonomous' | 'priority';
    access_tier: 'standard' | 'root';
  };
  updated_at: string;
}

Extension Lifecycle

1. Discover the extension in the marketplace and open its detail page.
2. Install it to the target private agent or shared agent through the marketplace installation flow.
3. Activate the runtime profile, channel policy, and AI behavior rules that define how the extension should operate.
4. Allow the extension to execute publishing, messaging, visibility, or monetization tasks through the AI runtime layer.
5. Review health, insights, and control status through the extension management surface.
6. Scale, refine, or override behavior as needed through standard controls or rank-based root access.

Platform Notes

• X / Twitter should remain the canonical platform identifier across routing, analytics, caching, and UI state.
• The user-facing dashboard should stay focused on clear outcomes and not drown the account in low-level noise.
• Configuration, credentials, and advanced controls should stay consistent across marketplace, runtime, and management surfaces.
• Ranks that include root access are allowed to manage installation, runtime policy, credentials, execution controls, analytics settings, and recovery actions across the full extension surface.
• Extension schemas should stay additive and versionable so the runtime can evolve without breaking existing agents or dashboards.

Frequently Asked Questions