Flaghand vs Blotato for n8n, Make and AI agents

Blotato and Flaghand both let an n8n workflow, a Make scenario or an AI agent send social posts through an API or an MCP server. They answer one question differently: can the automation publish by itself? With Blotato, a request made with your API key publishes now or at the time it names. With Flaghand, the automation drafts and asks, and the post goes out only after the workspace owner approves that exact post with a passkey.

Every Blotato fact here was checked on October 26, 2026 on its own pricing page, pricing rate card, API reference for agents, MCP tools reference and its n8n and Make guides. Prices and features change; check those pages before you choose.

The short answer

• Choose Blotato if you want AI to make the content too, you post to Instagram, TikTok, YouTube or other networks Flaghand doesn't, or your workflow should publish without anyone approving each post.
• Choose Flaghand if your workflow or agent writes for a person who must approve exactly what goes out, and you want the server, not the agent's instructions, to enforce that.

Where Blotato is better

• Nine networks. Blotato publishes and schedules to Instagram, TikTok, LinkedIn, Facebook, X, Threads, Bluesky, Pinterest and YouTube, and its LinkedIn posting covers personal profiles and company Pages. Flaghand posts to X and LinkedIn personal profiles; its TikTok posting is subject to TikTok's review.
• It makes the content. Every plan includes unlimited AI writing, AI images and video, AI voices and captions, ElevenLabs voiceovers and viral templates; credits pay for generated images and video. Flaghand has no built-in writer or image generator: your own agent writes, and Flaghand previews, checks and posts what it wrote.
• Its own n8n node and Make modules. Both are listed from the Starter plan, and Creator adds help troubleshooting your n8n and Make automations. Flaghand has neither: you use n8n's HTTP Request, Make's HTTP module or Zapier's Webhooks, with the exact requests in Flaghand from n8n, Make, Zapier and GitHub Actions.
• Analytics, comments and DMs. Its API reports post analytics on eight networks (not LinkedIn yet) and handles comments, direct messages and keyword-triggered DM replies on Instagram and Facebook. Flaghand's X read-back check isn't an analytics or inbox product.
• Unattended publishing. A request made with the API key publishes, so a workflow can run with nobody watching. Flaghand always waits for the owner.

Where Flaghand is better

• The approval is the server's rule. No API token can approve, schedule or post, so a leaked token, a looping workflow or a confused agent can't publish on its own.
• You approve what will actually post. The desk draws each post as X and LinkedIn show it, the check flags anything that wouldn't post as previewed, and the approval covers that exact snapshot.
• One call per plan. A workflow drafts, checks and asks for approval in one request, retried safely with an Idempotency-Key, and signed notifications tell it what the owner decided.

Pricing and access

Blotato sells three monthly plans: Starter at $29 a month with 20 connected social accounts and 1,250 AI credits, Creator at $97 with 40 accounts and 5,000 credits, and Agency at $499 with 100 accounts and 28,000 credits. Yearly billing saves about 17% and is chosen in its billing portal. There's no per-post fee, but each plan caps the posts queued at any one time at 200, 1,000 and 3,000, and each Facebook Page or LinkedIn company Page counts as its own account.

There's no free plan. The 7-day trial needs a card and includes 60 AI credits, but not the API or MCP: generating an API key ends the trial and starts the paid plan, and n8n and Make need that key too. If you're automating, plan to pay from the first day.

Flaghand is in early access and public sign-up isn't open yet. This guide doesn't quote a Flaghand price; use Get access to Flaghand for its current entry point.

What you integrate

Blotato's REST API lives at https://backend.blotato.com/v2 with a blotato-api-key header, and its MCP server at https://mcp.blotato.com/mcp. Claude Code, Claude.ai and ChatGPT can connect to it with OAuth; Cursor and several other clients send the API key in a header. POST /posts, or the MCP tool blotato_create_post, publishes straight away, or schedules with scheduledTime or the next free slot. It returns a submission ID to poll until the post is published or failed; Blotato's own docs warn that a submitted or scheduled request isn't proof of publication.

Flaghand's live OpenAPI spec describes the same work in a different order:

1. From n8n or Make, one createPost request drafts, checks and asks for approval, and returns the owner's approval_url, or each draft's problems and fixes. See the exact n8n and Make requests.
2. An agent can take the steps one at a time: upload media, createDraft, checkDraft, then requestApproval with the draft ID and revision. A proposed post_at time doesn't schedule anything, and a passing check isn't an approval.
3. Register a signed event receiver to hear when the owner decides or a job finishes, then read the jobs and use verifyJob for the live check.

Agents connect to Flaghand's remote MCP server with a workspace token or OAuth; the agent documentation has the setup for each client.

Who approves each post

Blotato's API reference tells an assistant to get the user's approval for each write before it publishes. That rule is an instruction to the agent. The pages above don't describe an approval step on Blotato's side that a post waits for, or a key that can draft without publishing: whoever holds the API key, workflow or agent, can publish. Its TikTok isDraft option sends a post to the TikTok app to finish there, for that network only.

Flaghand also uses a Bearer token, so the difference isn't the authentication header but what the credential can do. No API token scope can approve, schedule or post. Flaghand's OAuth MCP connectors receive read, drafts, media and request-approval, not a publishing permission. The owner connects each social account and approves in Flaghand; an agent or workflow can't do either on their behalf.

What you approve

Flaghand freezes the account, time, text, media, alt text and outgoing request into a snapshot. It hashes that snapshot with SHA-256 and records your passkey signature over the hash. Changing the posting content, account or time needs a new approval, and the scheduler checks the signed snapshot again just before posting. That required step is friction if you want a fully unattended pipeline; it's the point if a person's name is on every post.

After it posts

Flaghand reads each X post back and compares normalized text, author, hidden reply mentions, media count, available alt text, reply chain and quote with the approval. It doesn't verify link destinations or media-file identity, and it has no LinkedIn read-back. Blotato returns each post's status and public URL, and its analytics cover posts published through it. Neither a success response nor this limited comparison proves every detail of a post looks right.

TikTok slideshows

Flaghand's slideshow API lets an agent lay out photos and text as slides. One renderer draws it for the preview you approve and for the images TikTok receives, so approval covers the render hash. Flaghand and TikTok explains what posting is available while TikTok reviews Flaghand. Blotato publishes TikTok videos and photo posts today.

Side by side

Try Flaghand

Read Flaghand from n8n, Make, Zapier and GitHub Actions for copyable workflow requests, the agent documentation for the API and MCP contract, and How to let an AI agent post safely for checks to apply to any integration. Get access to Flaghand.