Social Media API for AI Agents

Social media API for AI agents that draft, schedule, and publish content

Let AI agents generate campaign ideas, create platform-specific post payloads, upload assets, and schedule social content through a controlled API workflow.

Last updated: May 2026

API key authScheduled publishing14 platforms
Quick start
API request
1const response = await fetch("https://api.bundle.social/api/v1/post", {2  method: "POST",3  headers: {4    "x-api-key": process.env.BUNDLE_SOCIAL_API_KEY,5    "Content-Type": "application/json"6  },7  body: JSON.stringify({8    teamId: "team_123",9    title: "Agent generated campaign",10    postDate: "2026-05-14T10:00:00.000Z",11    // Keep as draft for human review before publishing12    status: "DRAFT",13    socialAccountTypes: ["LINKEDIN", "TWITTER"],14    data: {15      LINKEDIN: { text: "Our AI agent drafted this insight on automation trends." },16      TWITTER: { text: "AI agents are changing how we publish." }17    }18  })19});

Letting agents talk directly to native APIs

Agents need guardrails, status checks, media references, and account routing before they can safely publish content.
Native APIs expose platform-specific details that are easy for autonomous workflows to misuse.
Generated content still needs approval, scheduling, and error handling in a human-readable dashboard.

What bundle.social handles

Use bundle.social as the execution layer while agents focus on planning and content generation.
Keep each generated post as an auditable object with status, platform data, and scheduling context.
Route agent-created content through review workflows instead of giving it raw native platform access.

Agents need a publishing boundary

The API gives AI workflows a concrete place to create posts, schedule campaigns, and inspect status while your team controls connected accounts.

Workflow

How it works

Connect accounts once, then create and schedule posts with channel-specific fields from one API.

01

Generate structured payloads

Your agent generates a JSON payload with the post content, media, and platform-specific data.

02

Create posts as Drafts

The agent submits the payload to the API with a DRAFT status for human review and approval.

03

Listen for webhooks

Use webhooks to notify your agent when a post is published, failed, or retried to trigger the next action.

Capabilities

API controls for agentic content workflows

Create, schedule, inspect, and report on posts generated by agents without exposing every platform credential.

Structured post payloads

Agents can produce explicit platform data blocks instead of unstructured instructions for a human operator. Enforce strict JSON schemas for generated content.

Scheduled execution

Generated content can be queued for future publication, giving teams time to review before it goes live. Set posts as DRAFT for human approval.

Status feedback loop

Agents can check whether posts are scheduled, posted, failed, or need a retry. Use webhooks to trigger the next agentic step automatically.

Media upload handoff

Upload creative assets once and let agents reference upload IDs in post payloads. Separate image generation from the final publishing step.

Developer example

Queue an agent-generated campaign post

Examples use bundle.social's public API shape: API key authentication, a post date, selected social account types, and platform-specific data.

TypeScript
API request
1const response = await fetch("https://api.bundle.social/api/v1/post", {2  method: "POST",3  headers: {4    "x-api-key": process.env.BUNDLE_SOCIAL_API_KEY,5    "Content-Type": "application/json"6  },7  body: JSON.stringify({8    teamId: "team_123",9    title: "Agent generated campaign",10    postDate: "2026-05-14T10:00:00.000Z",11    // Keep as draft for human review before publishing12    status: "DRAFT",13    socialAccountTypes: ["LINKEDIN", "TWITTER"],14    data: {15      LINKEDIN: { text: "Our AI agent drafted this insight on automation trends." },16      TWITTER: { text: "AI agents are changing how we publish." }17    }18  })19});

Supported content

Agent-generated postsScheduled campaignsMedia referencesStatus checksApproval workflows

Honest limitations

  • AI-generated content should still pass your review and policy rules before publishing.
  • Native platform rules still apply to automated content and account eligibility.
  • Agents need your product logic to decide when a draft becomes an approved scheduled post.

Guarantees

Developer-first infrastructure

2% error rate

We handle the platform edge cases, media processing, and rate limits so your requests succeed.

Verbose errors

When native APIs fail, we return human-readable error messages and actionable recovery steps.

Flat pricing

No per-post counting. Predictable pricing for teams managing many users, workspaces, and connected accounts.

Same-day support

Direct access to the engineers building the API. We respond to technical issues the same day. Sometimes the same hour. Test us c;

Resources

Technical guides & documentation

FAQ

Questions developers ask before building

Can an AI agent publish directly?

Technically yes through your backend, but most teams should keep review and scheduling controls between generation and publication.

Can agents check post status?

Yes. Posts have lifecycle states that can be queried and used as feedback for automation workflows.

Does this support multi-platform campaigns?

Yes. Agents can create one post targeting multiple socialAccountTypes with platform-specific data.