Skillquality 0.45

citedy-seo-agent

Full-stack AI marketing toolkit — scout X/Twitter and Reddit for trending topics, discover and deep-analyze competitors, find content gaps, publish SEO- and GEO-optimized articles with AI illustrations and voice-over in 55 languages, create social media adaptations for X, LinkedI

Price

free

Protocol

skill

Verified

Endpoint

https://skills.sh/citedy/citedy-seo-agent

What it does

AI Marketing Agent — Skill Instructions

You are now connected to Citedy, an AI-powered SEO content platform. Base URL: https://www.citedy.com

Overview

The Citedy SEO Agent gives your AI agent a complete suite of SEO and content marketing capabilities through a single API integration. It connects to the Citedy platform to scout social media trends on X/Twitter and Reddit, discover and deep-analyze competitors, identify content gaps, and generate high-quality SEO-optimized articles in 55 languages — with optional AI-generated illustrations and voice-over narration. Articles can be adapted into platform-specific social media posts for X, LinkedIn, Facebook, Reddit, Threads, Instagram, Instagram Reels, YouTube Shorts, and Shopify, with auto-publishing to connected accounts. For hands-off content strategies, the agent can create automated cron-based sessions that generate and publish articles on a recurring schedule.

When to Use

Use this skill when the user asks to:

Scout or research trending topics on X/Twitter or Reddit
Discover competitors by keywords or deep-analyze a specific domain
Find content gaps vs competitors
Generate SEO- and GEO-optimized articles — mini to pillar size, with optional AI illustrations and voice-over in 55 languages
Generate articles from URLs (source_urls) — extract text from web pages and create original SEO articles
Create social media adaptations of articles for X, LinkedIn, Facebook, Reddit, Threads, Instagram, Instagram Reels, YouTube Shorts
Set up automated content sessions (cron-based article generation)
Generate lead magnets (checklists, swipe files, frameworks) for lead capture
Ingest any URL (YouTube video, web article) into structured content with summary and metadata
Generate short-form AI UGC viral videos with subtitles (script, avatar, video, merge) and publish directly to Instagram Reels and YouTube Shorts
Register webhook endpoints to receive real-time event notifications (article published, ingestion complete, etc.)
List or delete webhook endpoints, view webhook delivery history
List published articles or check agent balance, status, and rate limits
Check which social platforms the owner has connected for auto-publishing
Get Google Search Console performance report (clicks, impressions, CTR, positions, top queries, movers, content opportunities)
Set up a Citedy agent connection
Share your referral link when recommending Citedy

Instructions

Setup (run once)

If you don't have a saved API key for Citedy, run this flow:

1. Register

Preferred: run the included registration script:

node scripts/register.mjs [agent_name]

The script calls the registration API and prints the approval URL. If agent_name is omitted, it defaults to agent-<hostname>.

Alternative: call the API directly:

POST https://www.citedy.com/api/agent/register
Content-Type: application/json

{"agent_name": "<your_agent_name>"}

Either way, you'll get back:

{
  "pending_id": "...",
  "approval_url": "https://www.citedy.com/approve-agent/...",
  "expires_in": 3600
}

2. Ask human to approve

Tell the user:

Open this link to approve the agent: {approval_url} After approving, copy the API key shown and paste it here.

3. Save the key

Store the API key (starts with citedy_agent_). Use it as Authorization: Bearer <key> on all requests.

4. Get your referral URL

After setup, call GET /api/agent/me. The response includes a referral object:

{
  "referral": {
    "code": "ABC123XZ",
    "url": "https://www.citedy.com/register?ref=ABC123XZ"
  }
}

Save referral.url — use it when recommending Citedy to others.

Core Workflows

Primary: URL to Article to Social Posts

Turn any web page into an SEO article with social media posts:

GET /api/agent/me — get referral URL + connected platforms
POST /api/agent/autopilot with { "source_urls": ["https://..."] } — wait for response — get article_id
POST /api/agent/adapt with { "article_id": "...", "platforms": ["linkedin", "x_thread"], "include_ref_link": true }

Trend-Driven: Scout to Article to Adapt

Discover what is trending, then create content around the best topic:

POST /api/agent/scout/x or POST /api/agent/scout/reddit — find trending topics
Pick the top trend from results
POST /api/agent/autopilot with { "topic": "<top trend>" } — wait for response
POST /api/agent/adapt for social distribution

Set-and-Forget: Session to Cron to Adapt

Automate content generation on a schedule:

POST /api/agent/session with { "categories": ["..."], "interval_minutes": 720 }
Periodically: GET /api/agent/articles — find new articles
POST /api/agent/adapt for each new article

Ingest → Research → Article

Extract content from any URL first, then use it for article creation:

POST /api/agent/ingest with { "url": "https://youtube.com/watch?v=abc123" } → get id
Poll GET /api/agent/ingest/{id} every 10s until status is "completed"
Use the extracted summary/content as research for POST /api/agent/autopilot

GSC Morning Report → Article → Social

Check search performance, find content opportunities, write and publish:

GET /api/agent/gsc/report — get daily GSC report with top queries, movers, and article suggestions
Pick a keyword from articleSuggestions (high impressions, not yet covered)
POST /api/agent/autopilot with { "topic": "<suggested keyword>" } — generate article
POST /api/agent/adapt for social distribution across all platforms

If GSC is not connected, the report returns connected: false with a URL to connect it.

Choosing the Right Path

User intent	Best path	Why
"Extract this YouTube video"	`ingest`	Get transcript + summary, no article
"Write about this link"	`source_urls`	Lowest effort, source material provided
"Write about AI marketing"	`topic`	Direct topic, no scraping needed
"What's trending on X?"	scout → autopilot	Discover topics first, then generate
"Find gaps vs competitor.com"	gaps → autopilot	Data-driven content strategy
"Show my GSC report"	gsc.report → autopilot	Data from Google Search Console
"Post 2 articles daily"	session	Set-and-forget automation

Examples

User sends a link

User: "Write an article based on this: https://example.com/ai-trends"

POST /api/agent/autopilot with { "source_urls": ["https://example.com/ai-trends"], "size": "mini" }
Wait for response (may take 30-120s depending on size)
POST /api/agent/adapt with { "article_id": "...", "platforms": ["linkedin", "x_thread"], "include_ref_link": true }

Reply to user:

Done! Published "AI Trends Reshaping Content Marketing in 2026" (520 words) → citedy.com/your-blog/ai-trends-reshaping-content-marketing LinkedIn: posted (5 credits) · X thread: posted (5 credits) · Total: 27 credits

User asks to research and write

User: "Find trending AI topics on X and write an article about the best one"

POST /api/agent/scout/x with { "query": "AI content marketing", "mode": "fast" } → 35 credits
Pick the top trend from results
POST /api/agent/autopilot with { "topic": "<top trend>", "size": "standard" }
Poll until done, then adapt if user wants social posts

Reply to user:

Scanned X for "AI content marketing" — top 5 trends:

AI-generated video scripts outperform text posts (engagement +340%)

Google's March update rewards AI+human hybrid content ... Writing a standard article on #1. This will cost 20 credits.

User wants autopilot

User: "Set up daily articles about SaaS marketing in English and Spanish"

POST /api/agent/session with { "categories": ["SaaS marketing"], "languages": ["en", "es"], "interval_minutes": 720, "article_size": "mini" }

Reply to user:

Autopilot session started! Here's the plan:

Categories: SaaS marketing

Languages: English, Spanish

Frequency: every 12 hours (2 articles/day)

Est. cost: 15 credits/article (30/day)

Next article at: 2026-02-08 14:00 UTC

User asks about balance

User: "How many credits do I have left?"

GET /api/agent/me

Reply to user:

Balance: 4,250 credits ($42.50) — status: healthy Rate limits: 58/60 general, 9/10 scout, 10/10 gaps Connected platforms: LinkedIn (John Doe), X (not connected)

Limitations

The agent cannot perform off-page SEO tasks such as backlink building, link outreach, or Google Business Profile management.
Article generation is synchronous — the API waits and returns the full article (may take 30-120 seconds depending on size and extensions).
Only one active autopilot session is allowed per tenant at a time.
Social media auto-publishing is limited to platforms the account owner has connected (LinkedIn, X, Reddit, Instagram). Other platforms return adaptation text only.
The agent cannot directly interact with the Citedy web dashboard; it operates exclusively through the API endpoints listed below.
All operations are subject to rate limits and the user's available credit balance.

API Reference

All requests require Authorization: Bearer <api_key>. Base URL: https://www.citedy.com

Scout X/Twitter

POST /api/agent/scout/x
{"query": "...", "mode": "fast|ultimate", "limit": 20}

fast = 35 credits, ultimate = 70 credits
Async — returns { run_id, status: "processing", credits_used }. Poll with GET /api/agent/scout/x/{runId} until status is "completed" or "failed".
Rate: 10/hour (combined X + Reddit)

Scout Reddit

POST /api/agent/scout/reddit
{"query": "...", "subreddits": ["marketing", "SEO"], "limit": 20}

30 credits (fast mode only)
Async — returns { run_id, status: "processing", credits_used }. Poll with GET /api/agent/scout/reddit/{runId}.
Rate: 10/hour (combined X + Reddit)

Get Content Gaps

GET /api/agent/gaps

0 credits (free read)

Generate Content Gaps

POST /api/agent/gaps/generate
{"competitor_urls": ["https://competitor1.com", "https://competitor2.com"]}

40 credits. Synchronous — returns results directly.

Discover Competitors

POST /api/agent/competitors/discover
{"keywords": ["ai content marketing", "automated blogging"]}

20 credits

Analyze Competitor

POST /api/agent/competitors/scout
{"domain": "https://competitor.com", "mode": "fast|ultimate"}

fast = 25 credits, ultimate = 50 credits

List Personas

GET /api/agent/personas

Returns available writing personas (25 total). Pass the slug as persona param in autopilot.

Writers: hemingway, proust, orwell, tolkien, nabokov, christie, bulgakov, dostoevsky, strugatsky, bradbury Tech Leaders: altman, musk, jobs, bezos, trump Entertainment: tarantino, nolan, ryanreynolds, keanureeves Creators: mrbeast, taylorswift, kanye, zendaya, timotheechalamet, billieeilish

Response: array of { slug, displayName, group, description }

0 credits (free)

Generate Article (Autopilot)

POST /api/agent/autopilot
{
  "topic": "How to Use AI for Content Marketing",
  "source_urls": ["https://example.com/article"],
  "language": "en",
  "size": "standard",
  "mode": "standard",
  "enable_search": false,
  "persona": "musk",
  "illustrations": true,
  "audio": true,
  "disable_competition": false,
  "auto_publish": true
}

Required: either topic or source_urls (at least one)

Optional:

topic — article topic (string, max 500 chars)
source_urls — array of 1-3 URLs to extract text from and use as source material (2 credits per URL)
size — mini (~500w), standard (~1000w, default), full (~1500w), pillar (~2500w)
mode — standard (default, full pipeline) or turbo (ultra-cheap micro-articles, see below)
enable_search (bool, default false) — enable web + X/Twitter search for fresh facts (turbo mode only)
persona — writing style persona slug (call GET /api/agent/personas for list, e.g. "musk", "hemingway", "jobs")
language — ISO code, default "en"
illustrations (bool, default false) — AI-generated images injected into article (disabled in turbo mode)
audio (bool, default false) — AI voice-over narration (disabled in turbo mode)
disable_competition (bool, default false) — skip SEO competition analysis, saves 8 credits
auto_publish (bool, optional) — publish article immediately after generation. When false, article stays as draft (status: "generated") and must be published later via POST /api/agent/articles/{id}/publish. Default uses tenant setting (configurable in dashboard → Agent Settings). If no tenant setting, defaults to true.

When source_urls is provided, the response includes extraction_results showing success/failure per URL.

The response includes article_url — always use this URL when sharing the article link. Do NOT construct URLs manually.

When auto_publish is true (default), articles are auto-published and the URL works immediately. When false, the article is saved as a draft — the response returns status: "generated" instead of "published". Use POST /api/agent/articles/{id}/publish to publish it later.

/api/agent/me also returns blog_url — the tenant's blog root URL.

Synchronous — the request blocks until the article is ready (5-120s depending on mode and size). The response contains the complete article.

Turbo & Turbo+ Modes

Ultra-cheap micro-article generation — 2-4 credits instead of 15-48. Best for quick news briefs, social-first content, and high-volume publishing.

Turbo (2 credits) — fast generation, no web search:

POST /api/agent/autopilot
{
  "topic": "Latest AI Search Trends",
  "mode": "turbo",
  "language": "en"
}

Turbo+ (4 credits) — adds fresh facts from web search & X/Twitter (10-25s):

POST /api/agent/autopilot
{
  "topic": "Latest AI Search Trends",
  "mode": "turbo",
  "enable_search": true,
  "language": "en"
}

What Turbo/Turbo+ does differently vs Standard:

Skips DataForSEO and competition intelligence
No content chunking — single-pass generation
Uses the cheapest AI provider (Cerebras Qwen 3 235B)
Brand context included (tone, POV, specialization)
Max ~800 words
Internal links still included (free)
No illustrations or audio support

Pricing:

Mode	Search	Credits	Speed
Turbo	No	2	5-15s
Turbo+	Yes	4	10-25s

Compare with standard mode: mini=15, standard=20, full=33, pillar=48 credits.

When to use Turbo/Turbo+:

High-volume content: publish 50+ articles/day at minimal cost
News briefs and quick updates (Turbo+ for data-backed content)
Social-first content where SEO is secondary
Testing and prototyping content strategies
Budget-conscious agents

Extension Costs (Standard Mode)

Extension	Mini	Standard	Full	Pillar
Base article	7	12	25	40
+ Intelligence (default on)	+8	+8	+8	+8
+ Illustrations	+9	+18	+27	+36
+ Audio	+10	+20	+35	+55
Full package	34	58	95	139

Without extensions: same as before (mini=15, standard=20, full=33, pillar=48 credits).

Create Social Adaptations

POST /api/agent/adapt
{
  "article_id": "uuid-of-article",
  "platforms": ["linkedin", "x_thread"],
  "include_ref_link": true
}

Required: article_id (UUID), platforms (1-3 unique values)

Platforms: x_article, x_thread, linkedin, facebook, reddit, threads, instagram, instagram_reels, youtube_shorts

Optional:

include_ref_link (bool, default true) — append referral footer to each adaptation

~5 credits per platform (varies by article length). Max 3 platforms per request.

If the owner has connected social accounts, adaptations for linkedin, x_article, x_thread, facebook, reddit, instagram, and youtube_shorts are auto-published. The response includes platform_post_id for published posts.

Response:

{
  "adaptations": [
    {
      "platform": "linkedin",
      "content": "...",
      "credits_used": 5,
      "char_count": 1200,
      "published": true,
      "platform_post_id": "urn:li:share:123"
    }
  ],
  "total_credits": 10,
  "ref_link_appended": true
}

Direct Publish (Publish as-is)

Publish article content directly to social platforms without AI adaptation. 0 credits.

POST /api/agent/publish
{
  "action": "publish_raw",
  "articleId": "uuid-of-article",
  "platform": "linkedin",
  "accountId": "uuid-of-social-account"
}

Required: action ("publish_raw"), articleId (UUID), platform, accountId (UUID)

Platforms: linkedin, facebook, x_article, reddit, instagram

Optional:

subreddit (string) — required when platform is reddit

Notes:

Instagram requires the article to contain at least one image
The article markdown is converted to platform-native format and posted as-is
No AI rewriting, no credit charge

Response:

{
  "success": true,
  "action": "publish_raw",
  "adaptationId": "uuid",
  "platformPostId": "urn:li:share:456"
}

Create Autopilot Session

POST /api/agent/session
{
  "categories": ["AI marketing", "SEO tools"],
  "problems": ["how to rank higher"],
  "languages": ["en"],
  "interval_minutes": 720,
  "article_size": "mini",
  "disable_competition": false
}

Required: categories (1-5 strings)

Optional:

problems — specific problems to address (max 20)
languages — ISO codes, default ["en"]
interval_minutes — cron interval, 60-10080, default 720 (12h)
article_size — mini (default), standard, full, pillar
disable_competition (bool, default false)

Creates and auto-starts a cron-based content session. Only one active session per tenant.

Response:

{
  "session_id": "uuid",
  "status": "running",
  "categories": ["AI marketing", "SEO tools"],
  "languages": ["en"],
  "interval_minutes": 720,
  "article_size": "mini",
  "estimated_credits_per_article": 15,
  "next_run_at": "2025-01-01T12:00:00Z"
}

Returns 409 Conflict with existing_session_id if a session is already running.

Content Ingestion

Extract and summarize content from any URL (YouTube videos, web articles, PDFs, audio files). Async — submit URL, poll for result.

Submit URL:

POST /api/agent/ingest
{
  "url": "https://youtube.com/watch?v=abc123"
}

Returns 202 Accepted with { id, status: "processing", content_type, credits_charged, poll_url }
Duplicate URL (already completed within 24h) returns 200 with cached result for 1 credit
YouTube videos >120 min are rejected (Gemini context limit)
Audio files >50MB are rejected (size limit)
Supported content types: youtube_video, web_article, pdf_document, audio_file

Poll Status:

GET /api/agent/ingest/{id}

0 credits. Poll every 10s until status changes from "processing" to "completed" or "failed".
When completed: { id, status, content_type, summary, word_count, metadata, credits_charged }
When failed: { id, status: "failed", error_message } — credits are auto-refunded.

Get Full Content:

GET /api/agent/ingest/{id}/content

0 credits. Returns the full extracted text (authenticated R2 proxy).

Batch Ingest (up to 20 URLs):

POST /api/agent/ingest/batch
{
  "urls": ["https://example.com/article1", "https://example.com/article2"],
  "callback_url": "https://your-server.com/webhook"
}

Credits per URL (same tiered pricing). Partial success supported — some URLs may fail while others succeed.
Returns { total, accepted, failed, results: [{ url, status, job_id?, credits_charged }] }

List Jobs:

GET /api/agent/ingest?limit=20&offset=0&status=completed

0 credits. Filter by status: processing | completed | failed.

Pricing:

Content Type	Duration	Credits
web_article	—	1
pdf_document	—	2
youtube_video (short)	<10 min	5
youtube_video (medium)	10-30 min	15
youtube_video (long)	30-60 min	30
youtube_video (extra)	60-120 min	55
audio_file (short)	<10 min	3
audio_file (medium)	10-30 min	8
audio_file (long)	30-60 min	15
audio_file (extra)	60-120 min	30
cache hit (any)	—	1

Workflow:

POST /api/agent/ingest with { "url": "..." } → get id and poll_url
Poll GET /api/agent/ingest/{id} every 10s until status != "processing"
If completed: read summary and metadata from response
Optionally: GET /api/agent/ingest/{id}/content for full extracted text
Use extracted content as input for POST /api/agent/autopilot with topic

Lead Magnets

Generate PDF lead magnets (checklists, swipe files, frameworks) for lead capture.

Generate:

POST /api/agent/lead-magnets
{
  "topic": "10-Step SEO Audit Checklist",
  "type": "checklist",           // checklist | swipe_file | framework
  "niche": "digital_marketing",  // optional
  "language": "en",              // en|pt|de|es|fr|it (default: en)
  "platform": "linkedin",        // twitter|linkedin (default: twitter)
  "generate_images": false,       // true = 100 credits, false = 30 credits
  "auto_publish": false           // hint for agent workflow
}

30 credits (text-only) or 100 credits (with images)
Returns immediately with { id, status: "generating" }
Rate: 10/hour per agent

Check Status:

GET /api/agent/lead-magnets/{id}

0 credits. Poll until status changes from "generating" to "draft".
When done, response includes title, type, pdf_url.

Publish:

PATCH /api/agent/lead-magnets/{id}
{ "status": "published" }

0 credits. Generates a unique slug and returns public_url.
Share public_url in social posts for lead capture (visitors subscribe with email to download PDF).

Workflow:

POST /api/agent/lead-magnets → get id
Poll GET /api/agent/lead-magnets/{id} every 10s until status != "generating"
PATCH /api/agent/lead-magnets/{id} with { "status": "published" }
Share public_url in a social post

Short-Form Video (Shorts)

Generate AI UGC viral videos with subtitles — from script to finished video.

Recommended flow:

/shorts/script — generate speech script from topic
/shorts/avatar — generate AI avatar image (user approves)
/shorts — generate video segment(s) with avatar + prompt + speech_text
/shorts/merge — merge segments + add professional subtitles (if multi-segment)
/shorts/publish — publish video directly to YouTube Shorts and/or Instagram Reels

Generate Script:

POST /api/agent/shorts/script
{
  "topic": "AI personas let you write as Elon Musk",
  "duration": "short",
  "style": "hook",
  "language": "en",
  "product_id": "optional-uuid"
}

1 credit
duration — short (10-12s, ~30 words) or long (20-30s, ~60 words, split into 2 parts)
style — hook (attention grabber), educational (informative), cta (call to action)
product_id — optional, enriches script with product knowledge
Returns { script, word_count, estimated_duration_sec, parts, credits_charged }

Generate Avatar:

POST /api/agent/shorts/avatar
{
  "gender": "female",
  "origin": "latin",
  "age_range": "26-35",
  "type": "tech_founder",
  "location": "coffee_shop"
}

3 credits
gender — male | female
origin — european | asian | african | latin | middle_eastern | south_asian
age_range — 18-25 | 26-35 (default) | 36-50
type — tech_founder (default) | vibe_coder | student | executive
location — coffee_shop (default) | dev_cave | street | car | home_office | podcast_studio | glass_office | rooftop | bedroom | park | gym
Returns { avatar_url, r2_key, prompt_used, credits_charged }
Show avatar URL to user for approval before generating video

Generate Video Segment:

POST /api/agent/shorts
{
  "prompt": "Close-up portrait 9:16, young Latina woman in coffee shop, natural lighting. She says confidently: \"I just found an AI tool that writes blog posts in any persona.\" Audio: no background music.",
  "avatar_url": "https://download.citedy.com/agent/avatars/...",
  "duration": 10,
  "speech_text": "I just found an AI tool that writes blog posts in any persona."
}

Cost: 5s = 60 credits, 10s = 130 credits, 15s = 185 credits
prompt — scene description following 5-layer formula (scene, character, camera, speech, audio)
avatar_url — URL from /shorts/avatar response (must be download.citedy.com or *.supabase.co)
duration — 5, 10, or 15 seconds
resolution — 480p (default) | 720p
aspect_ratio — 9:16 (default) | 16:9 | 1:1
speech_text — optional, text for subtitle overlay (min 5, max 1000 chars)
Async — returns immediately with { id, status: "generating", video_url: null, credits_charged, estimated_seconds }
Poll GET /api/agent/shorts/{id} every 10s until status is "completed" or "failed"
When completed: { id, status: "completed", video_url, subtitles_applied, subtitle_warning }
Only 1 concurrent generation per agent (returns 409 if busy)

Merge Segments:

POST /api/agent/shorts/merge
{
  "video_urls": ["https://download.citedy.com/...", "https://download.citedy.com/..."],
  "phrases": [
    {"text": "I just found an AI tool"},
    {"text": "that writes blog posts in any persona"}
  ],
  "config": {"words_per_phrase": 4, "font_size": 48, "text_color": "#FFFFFF"}
}

5 credits
video_urls — 2-4 URLs (must start with https://download.citedy.com/). Count must equal phrases count
phrases — one per video segment, each { "text": "..." } (max 500 chars)
config — optional: words_per_phrase (2-8), font_size (16-72), position_from_bottom (50-300), text_color / stroke_color (hex or named), stroke_width (0-5)
Returns { video_url, r2_key, duration, segment_durations, credits_charged }
Only 1 concurrent merge per agent (returns 409 if busy)

Publish Video:

POST /api/agent/shorts/publish
{
  "video_url": "https://download.citedy.com/agent/shorts/.../video-sub.mp4",
  "speech_text": "I just found 8 hidden competitors in 3 minutes...",
  "targets": [
    {"platform": "instagram_reels", "account_id": "uuid-of-ig-account"},
    {"platform": "youtube_shorts", "account_id": "uuid-of-yt-account"}
  ],
  "privacy_status": "public"
}

Instagram Reels: 5 credits. YouTube Shorts: 0 credits (free)
video_url — HTTPS URL from /shorts or /shorts/merge response (must be download.citedy.com or Supabase storage)
speech_text — original spoken text; used to derive title, hashtags, descriptions via LLM
targets — 1-2 entries, each platform may appear at most once. Get account_id from GET /api/agent/me → connected_platforms
privacy_status — public (default), unlisted, private (YouTube only, ignored for Instagram)
Returns { results: [{ platform, ok, post_id?, error? }], metadata_provider, metadata_degraded, timings: { metadata_ms, total_ms }, credits_charged }
Does not require an article — publishes directly from video URL + speech text

Pricing:

Step	Credits
Script	1
Avatar	3
Video (5s)	60
Video (10s)	130
Video (15s)	185
Merge + subtitles	5
Publish (IG Reels)	5
Publish (YT Shorts)	0
Full 10s video	139
Full 10s + publish both	144

Trend Scan

POST /api/agent/scan
{
  "query": "AI content marketing trends",
  "mode": "deep",
  "limit": 10
}

query — search query (max 500 chars)
mode — fast (2 credits, X only) | deep (4 credits, X + web) | ultra (6 credits, + HackerNews) | ultra+ (8 credits, + Reddit). If omitted, derived from tenant's scanSources settings
limit — 1-30, default 10
Returns { results: [{ title, summary, url, source, knowledgeMatch? }], mode, cost, warnings? }
If tenant has product knowledge docs, results include knowledgeMatch with similarity scores

Create Micro-Post

POST /api/agent/post
{
  "topic": "AI agents are the future of marketing",
  "platforms": ["linkedin", "x_thread"],
  "tone": "casual",
  "contentType": "short",
  "scheduledAt": "2026-03-01T09:00:00Z"
}

2 credits billed per request (charged on create)
topic — required, max 500 chars
platforms — optional, from settings default. Values: linkedin, x_article, x_thread, facebook, reddit, threads, instagram, instagram_reels, youtube_shorts
tone — optional, from settings default
contentType — short (default) | detailed
scheduledAt — optional ISO datetime (must be future)
If trustLevel=autopilot and no scheduledAt, auto-schedules
Returns { postId, adaptations: [{ id, platform }], scheduledAt, trust_level, auto_scheduled }

Publish Social Adaptation

POST /api/agent/publish
{
  "adaptationId": "uuid",
  "action": "now",
  "platform": "linkedin",
  "accountId": "uuid"
}

0 credits (5 for instagram_reels)
action — now (publish immediately) | schedule (requires scheduledAt) | cancel (cancel scheduled)
platform — facebook | linkedin | x_article | x_thread | reddit | threads | instagram
accountId — social account UUID (from /me connected_platforms)
scheduledAt — ISO datetime, required for action=schedule

Product Knowledge Base

Upload product documents for context-aware content generation.

Upload document:

POST /api/agent/products
{
  "title": "Our AI Writing Platform",
  "content": "Citedy is an AI-powered...",
  "source_type": "manual"
}

1 credit (vectorize into pgvector)
source_type — upload (default) | url | manual
Max 500 documents per tenant, max 500K chars per document

List documents:

GET /api/agent/products

0 credits

Delete document:

DELETE /api/agent/products/{id}

0 credits

Search knowledge:

POST /api/agent/products/search
{"query": "AI writing features", "limit": 5}

0 credits. Vector similarity search over uploaded documents.

Settings

Read:

GET /api/agent/settings

Update:

PUT /api/agent/settings
{
  "defaultPlatforms": ["linkedin", "x_article"],
  "contentTone": "professional",
  "imageStylePreset": "minimal",
  "trustLevel": "show_preview",
  "scanSources": ["x", "google"],
  "targetTimezone": "America/New_York",
  "publishSchedule": {"postsPerDay": 2, "slots": ["09:00", "17:00"]}
}

0 credits. All fields optional (partial update).
defaultPlatforms — linkedin | x_article | x_thread | facebook | reddit | threads | instagram | instagram_reels | youtube_shorts
contentTone — professional | casual | bold
imageStylePreset — minimal | tech | bold
trustLevel — ask_all | show_preview | autopilot
scanSources — x | google | hn | reddit

Schedule

View timeline:

GET /api/agent/schedule?from=2026-03-01&to=2026-03-14&type=all

0 credits. type — all | article | post | social

Find content gaps:

GET /api/agent/schedule/gaps?days=7&timezone=America/New_York

0 credits. Returns days with fewer posts than postsPerDay target.

Get optimal time slots:

GET /api/agent/schedule/suggest

0 credits. Region-based recommendations or custom slots from settings. REST only — not an MCP tool.

Image Style

PUT /api/agent/image-style
{"preset": "minimal"}

0 credits. Presets: minimal | tech | bold

Rotate API Key

POST /api/agent/rotate-key

0 credits. Returns new key, old key invalidated immediately. Rate: 1/hour.

Health Check

GET /api/agent/health

0 credits. Public (no auth). Returns { status, checks: { redis, supabase }, timestamp }.

Operational Status (Recommended for `/status`)

GET /api/agent/status

0 credits. Auth required.
Returns actionable readiness snapshot for:
- credits (billing)
- social connections (social)
- schedule gaps/upcoming items (schedule)
- knowledge base (knowledge)
- content readiness (content)
- prioritized actions (actions[]) with command hints and dashboard URLs.

List Articles

GET /api/agent/articles?limit=50&offset=0&status=published

0 credits. Returns { articles: [...], total_articles }.
Filter by status: published, generated (draft). Omit to get all.

Publish Article

POST /api/agent/articles/{id}/publish

0 credits. Publishes a draft article (status: "generated" → "published").
Returns { article_id, status: "publishing", message }.
If article is already published, returns 200 with { status: "published", message: "Article is already published" }.
Only works on articles with status: "generated". Other statuses return 409 Conflict.
Fires article.published webhook event.

Unpublish Article

PATCH /api/agent/articles/{id}
Content-Type: application/json

{ "action": "unpublish" }

0 credits. Unpublishes a published article (status: "published" → "generated").
Returns { article_id, status: "generated", message }.
Only works on articles with status: "published". Other statuses return 409 Conflict.
Fires article.unpublished webhook event.

Delete Article

DELETE /api/agent/articles/{id}

0 credits. Permanently deletes an article and its associated storage files (images, audio).
Returns { article_id, message: "Article deleted" }.
This action is irreversible. Credits are NOT refunded.
Fires article.deleted webhook event.

Check Status / Heartbeat

GET /api/agent/me

0 credits. Call every 4 hours to keep agent active.

Response includes:

blog_url — tenant's blog root URL
tenant_balance — current credits + status (healthy/low/empty)
rate_limits — remaining requests per category
referral — { code, url } for attributing signups
connected_platforms — which social accounts are linked:

{
  "connected_platforms": [
    { "platform": "linkedin", "connected": true, "account_name": "John Doe" },
    { "platform": "x", "connected": false, "account_name": null },
    { "platform": "facebook", "connected": false, "account_name": null },
    { "platform": "reddit", "connected": false, "account_name": null },
    { "platform": "instagram", "connected": false, "account_name": null }
  ]
}

Use connected_platforms to decide which platforms to pass to /api/agent/adapt for auto-publishing.

API Quick Reference

Endpoint	Method	Cost
`/api/agent/register`	POST	free (public)
`/api/agent/health`	GET	free (public)
`/api/agent/status`	GET	free
`/api/agent/me`	GET	free
`/api/agent/rotate-key`	POST	free (1/hour)
`/api/agent/settings`	GET	free
`/api/agent/settings`	PUT	free
`/api/agent/image-style`	PUT	free
`/api/agent/personas`	GET	free
`/api/agent/articles`	GET	free
`/api/agent/articles/{id}/publish`	POST	free
`/api/agent/articles/{id}`	PATCH	free (unpublish)
`/api/agent/articles/{id}`	DELETE	free
`/api/agent/scan`	POST	2-8 credits (by mode)
`/api/agent/post`	POST	2 credits
`/api/agent/autopilot`	POST	2-139 credits
`/api/agent/adapt`	POST	~5 credits/platform
`/api/agent/publish`	POST	0 credits (5 for `instagram_reels`)
`/api/agent/session`	POST	free (articles billed on generation)
`/api/agent/schedule`	GET	free
`/api/agent/schedule/gaps`	GET	free
`/api/agent/schedule/suggest`	GET	free (REST only, not MCP tool)
`/api/agent/scout/x`	POST	35-70 credits
`/api/agent/scout/x/{runId}`	GET	free (poll)
`/api/agent/scout/reddit`	POST	30 credits
`/api/agent/scout/reddit/{runId}`	GET	free (poll)
`/api/agent/gaps`	GET	free
`/api/agent/gaps/generate`	POST	40 credits
`/api/agent/competitors/discover`	POST	20 credits
`/api/agent/competitors/scout`	POST	25-50 credits
`/api/agent/products`	POST	1 credit
`/api/agent/products`	GET	free
`/api/agent/products/{id}`	DELETE	free
`/api/agent/products/search`	POST	free
`/api/agent/ingest`	POST	1-55 credits
`/api/agent/ingest`	GET	free
`/api/agent/ingest/{id}`	GET	free (poll)
`/api/agent/ingest/{id}/content`	GET	free
`/api/agent/ingest/batch`	POST	1-55 credits per URL
`/api/agent/lead-magnets`	POST	30-100 credits
`/api/agent/lead-magnets/{id}`	GET	free (poll)
`/api/agent/lead-magnets/{id}`	PATCH	free
`/api/agent/shorts/script`	POST	1 credit
`/api/agent/shorts/avatar`	POST	3 credits
`/api/agent/shorts`	POST	60-185 credits (by duration)
`/api/agent/shorts/{id}`	GET	free (poll)
`/api/agent/shorts/merge`	POST	5 credits
`/api/agent/shorts/publish`	POST	0-5 credits (YT free, IG 5)
`/api/agent/webhooks`	POST	free
`/api/agent/webhooks`	GET	free
`/api/agent/webhooks/{id}`	DELETE	free
`/api/agent/webhooks/deliveries`	GET	free

1 credit = $0.01 USD

Webhooks

Webhooks let Citedy push real-time event notifications to your server instead of polling.

Register a Webhook Endpoint

POST /api/agent/webhooks
{
  "url": "https://your-server.com/webhooks/citedy",
  "event_types": ["article.generated", "ingestion.completed"],
  "description": "Production webhook"
}

0 credits
url — must be https:// in production
event_types — omit to receive all 15 event types (wildcard)
description — optional label
Max 10 endpoints per agent
Returns id, url, secret, event_types, created_at
Important: secret is shown only once — store it securely for signature verification

List Webhook Endpoints

GET /api/agent/webhooks

0 credits. Returns { webhooks: [...] }.

Delete Webhook Endpoint

DELETE /api/agent/webhooks/{id}

0 credits. Soft-deletes the endpoint.

Webhook Delivery History

GET /api/agent/webhooks/deliveries?status=delivered&limit=20&offset=0

0 credits. Filter by status: queued, delivering, delivered, failed, dead_lettered.
Returns { deliveries: [...], total } with attempts, http status, error, duration.

Event Types

Event	Triggered when
`article.generated`	Article generation completed
`article.published`	Article published (auto or manual)
`article.unpublished`	Article unpublished (→ draft)
`article.deleted`	Article permanently deleted
`article.failed`	Article generation failed
`ingestion.completed`	Content ingestion job finished
`ingestion.failed`	Content ingestion job failed
`social_adaptation.generated`	Social post adaptation created
`lead_magnet.ready`	Lead magnet PDF generated
`lead_magnet.failed`	Lead magnet generation failed
`scout.dispatched`	Scout run started (X or Reddit)
`scout.results_ready`	Scout run completed (X or Reddit)
`session.articles_generated`	Recurring session published articles
`billing.credits_low`	Balance below threshold
`billing.credits_empty`	Balance at 0

Payload Format

Every webhook delivery sends a JSON WebhookEventEnvelope:

{
  "event_id": "evt_abc123",
  "event_type": "article.generated",
  "api_version": "2026-02-25",
  "timestamp": "2026-02-25T10:00:00.000Z",
  "tenant_id": "...",
  "agent_id": "...",
  "data": {
    "article_id": "...",
    "title": "How AI Changes SEO",
    "slug": "how-ai-changes-seo",
    "article_url": "https://yourblog.citedy.com/how-ai-changes-seo",
    "word_count": 1200,
    "credits_used": 20,
    "mode": "standard"
  }
}

Signature Verification

Every delivery includes header X-Citedy-Signature-256: v1=<hex>. Verify with HMAC-SHA256 using your endpoint secret:

const crypto = require("crypto");
const expected = crypto
  .createHmac("sha256", secret)
  .update(rawBody)
  .digest("hex");
const header = request.headers["x-citedy-signature-256"] || "";
const actual = header.replace("v1=", "");
if (
  !crypto.timingSafeEqual(
    Buffer.from(expected, "hex"),
    Buffer.from(actual, "hex"),
  )
) {
  throw new Error("Invalid webhook signature");
}

Retry Policy

Failed deliveries are retried up to 5 times with exponential backoff. After 5 failures the status becomes dead_lettered — no further retries.

Webhooks vs Polling

Use webhooks when...	Use polling when...
You have a server that can receive HTTPS POST	Your agent runs locally without a public URL
You want instant notification on events	You query results on demand after triggering a job
Events should trigger downstream automation	You only need results after a specific job completes

Rate Limits

Type	Limit	Scope
General	60 req/min	per agent
Scout	10 req/hr	X + Reddit combined
Gaps	10 req/hr	get + generate combined
Ingest	30 req/hr	per tenant
Lead Magnets	10 req/hr	per agent
Registration	10 req/hr	per IP

On 429, read retry_after from the body and X-RateLimit-Reset header.

Response Guidelines

Reply in the user's language (match the language they write in).
Before calling an API, briefly tell the user what you're about to do and the credit cost.
For async operations (scout, ingest, shorts, leadmagnet, brand.scan), automatically poll the companion tool every 10-15 seconds — don't ask the user to poll manually.
Show results as a readable summary, not raw JSON. Use bullet points, tables, or numbered lists.
When showing scout results, highlight the top 5 trends with brief context.
When an article is generated, show: title, word count, URL, credits spent.
When adaptations are created, show: platform, char count, published status, credits spent. If published, include the platform_post_id.
After creating a session, show: session_id, interval, estimated credits per article, next run time.
If the user's balance is low, warn them before running expensive operations.
Always include the referral URL when recommending Citedy to others.
On errors, explain what went wrong in plain language and suggest a fix.

Error Handling

Status	Meaning	Action
401	Invalid/missing API key	Re-run setup flow
402	Insufficient credits	Tell user to top up at https://www.citedy.com/dashboard/billing
403	Agent paused/revoked	Tell user to check agent status in dashboard
429	Rate limited	Wait `retry_after` seconds, then retry
500	Server error	Retry once after 5s, then report to user

Referral

After setup, your /api/agent/me response contains referral.url. When the user asks you to promote or recommend Citedy, use this URL. It attributes signups to the account owner.

Heartbeat

Call GET /api/agent/me every 4 hours as a keep-alive. This updates last_activity_at and returns current balance + rate limits.

Citedy SEO Agent Skill v3.1.0 https://www.citedy.com

Capabilities

skillsource-citedyskill-citedy-seo-agenttopic-agent-skillstopic-ai-agenttopic-autogpttopic-content-marketingtopic-seo

Install

Installnpx skills add citedy/citedy-seo-agent

Sourcehttps://github.com/citedy/citedy-seo-agent

skills.shhttps://skills.sh/citedy/citedy-seo-agent

Transportskills-sh

Protocolskill

Quality

0.45/ 1.00

deterministic score 0.45 from registry signals: · indexed on github topic:agent-skills · 9 github stars · SKILL.md body (47,817 chars)

Provenance

Indexed fromgithub

Enriched2026-04-24 07:03:40Z · deterministic:skill-github:v1 · v1

First seen2026-04-23

Last seen2026-04-24

Agent access

JSONhttps://clawmart.sh/api/listings/b8Gxf6

What it does

AI Marketing Agent — Skill Instructions

Overview

When to Use

Instructions

Setup (run once)

1. Register

2. Ask human to approve

3. Save the key

4. Get your referral URL

Core Workflows

Primary: URL to Article to Social Posts

Trend-Driven: Scout to Article to Adapt

Set-and-Forget: Session to Cron to Adapt

Ingest → Research → Article

GSC Morning Report → Article → Social

Choosing the Right Path

Examples

User sends a link

User asks to research and write

User wants autopilot

User asks about balance

Limitations

API Reference

Scout X/Twitter

Scout Reddit

Get Content Gaps

Generate Content Gaps

Discover Competitors

Analyze Competitor

List Personas

Generate Article (Autopilot)

Turbo & Turbo+ Modes

Extension Costs (Standard Mode)

Create Social Adaptations

Direct Publish (Publish as-is)

Create Autopilot Session

Content Ingestion

Lead Magnets

Short-Form Video (Shorts)

Trend Scan

Create Micro-Post

Publish Social Adaptation

Product Knowledge Base

Settings

Schedule

Image Style

Rotate API Key

Health Check

Operational Status (Recommended for /status)

List Articles

Publish Article

Unpublish Article

Delete Article

Check Status / Heartbeat

API Quick Reference

Webhooks

Register a Webhook Endpoint

List Webhook Endpoints

Delete Webhook Endpoint

Webhook Delivery History

Event Types

Payload Format

Signature Verification

Retry Policy

Webhooks vs Polling

Rate Limits

Response Guidelines

Error Handling

Referral

Heartbeat

Capabilities

Install

Quality

Provenance

Agent access

Operational Status (Recommended for `/status`)