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Agent402 LinkedIn Article Generator
x402
Agent402 LinkedIn Article Generator is a paid API for AI agents from agent402.tools, paid per call via x402, $1.1/call, status unknown (last checked 2026-09-14).
Generates a fully researched, publication-ready LinkedIn article with cover images, companion post, and sourced references on any topic.
Price / call$1.1
Success—
StatusUnknown
How this service works
Hand over a topic and get a publish-ready LinkedIn article back: grounded web research with cited sources, three headline options, a hook-first body under subheads with facts linked to their sources, key takeaways, a companion post with hashtags, and generated images delivered at LinkedIn's own sizes (article cover 1920x1080, link-share 1200x627, feed square and portrait, in-article 16:9) as inline JPEG under 3 MB. Optional byline, angle, audience, tone and CTA.
Output
Returns a JSON object containing: a fully formatted markdown article with headline, subtitle, body, key takeaways and sources; a companion LinkedIn post with hashtags and character count; base64-encoded cover and link-share JPEG images with alt text and prompts; metadata including word count, image count, synthesis model used, and number of sources; and structured source list with URLs, titles, and snippets.
Example use cases
Thought leadership article for startup founder
“Write a LinkedIn article for me on why agentic finance will replace traditional API billing models — target it at seed-stage SaaS founders, use a confident first-person tone, standard length around 1000 words, and end with a CTA to follow my work. Include a cover image and 4 hashtags on the companion post.”
Corporate comms piece for enterprise audience
“Draft a long LinkedIn article (about 1500 words) on how stablecoins reduce cross-border payment friction, aimed at CFOs at mid-market companies. Write it as if from Jane Smith, Head of Treasury. Use a professional tone, include a cover image and one inline image, and keep the companion post hashtags to 3.”
Quick take article for a niche technical audience
“Generate a short LinkedIn article — around 600 words — arguing that wallet-based identity will replace API keys for AI agents. Target it at ML engineers, use a punchy direct tone, no inline images, just a cover image, and add 2 hashtags to the companion post.”
Technical details
Endpoint
POSThttps://agent402.tools/v1/linkedin-articleWhen to prefer
Choose this endpoint when you need a complete, publication-ready LinkedIn article with AI-generated images, live web research, structured sources, and a companion post — all in a single call. Prefer it over generic text generation when the output must include cover art, sourced references, and a formatted social media caption ready to paste into LinkedIn. Ideal when the user wants a finished deliverable, not a draft to polish.
Side effects
- Topic string exceeds 600 characters — truncate or shorten the topic
- Invalid length enum value — must be 'short', 'standard', or 'long'
- Hashtag count out of range 0–5 — clamp to valid range
- Image generation failure — cover or inline images may be missing from response
- Insufficient research results — sources_listed may be low for very niche topics
- Payment failure via x402 — $1.10 USDC not available in agent wallet
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| cta | string | Optional closing call to action. |
| tone | string | Optional voice, default: professional, first-person, direct. |
| angle | string | Optional: the take or thesis to argue. |
| topic | string | What the article is about (up to 600 chars). The research runs on this. |
| author | object | Optional byline the article is written as. |
| images | object | |
| length | string | ~600 / ~1,000 / ~1,500 words (default standard). |
| audience | string | Optional: who it is for, e.g. CFOs at mid-market SaaS. |
| hashtags | number | Hashtags on the companion post, 0-5 (default 4). |
Output
Schema · Response
{
"type": "json",
"example": {
"meta": {
"tier": "linkedin-article",
"words": 980,
"images": 2,
"post_chars": 1120,
"image_files": 5,
"sources_listed": 12,
"synthesis_model": "anthropic/claude-opus-5",
"sources_full_text": 4
},
"post": {
"chars": 1120,
"caption": "...\n#AgenticFinance #Payments #AI #Stablecoins",
"hashtags": [
"#AgenticFinance",
"#Payments",
"#AI",
"#Stablecoins"
]
},
"title": "Why agent payments settle on chain",
"images": [
{
"alt": "An abstract network of nodes exchanging tokens",
"slot": "cover",
"files": [
{
"b64": "/9j/4AAQ…",
"use": "LinkedIn article cover image",
"name": "article-cover",
"bytes": 412000,
"width": 1920,
"format": "jpeg",
"height": 1080,
"media_type": "image/jpeg"
},
{
"b64": "/9j/4AAQ…",
"use": "LinkedIn post / link-share image (1.91:1)",
"name": "post-link-share",
"bytes": 180000,
"width": 1200,
"format": "jpeg",
"height": 627,
"media_type": "image/jpeg"
}
],
"prompt": "...",
"source": {
"model": "black-forest-labs/flux.2-klein-4b",
"width": 1024,
"height": 1024
}
}
],
"report": "# Why agent payments settle on chain\n*One line of context*\n\n...\n\n## Sources\n1. [Example](https://example.com/...)\n\n---\n## Companion post (paste as a LinkedIn post, 1,120 of 3000 characters)\n...",
"tables": [],
"article": {
"headline": "Why agent payments settle on chain",
"subtitle": "One line of context",
"headlines": [
"Why agent payments settle on chain",
"...",
"..."
],
"word_count": 980,
"body_markdown": "...",
"key_takeaways": [
"..."
]
},
"sources": [
{
"n": 1,
"url": "https://example.com/...",
"title": "Example",
"snippet": "...",
"fullText": true
}
]
}
}Tags
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