---

name: "SEO Content Autopilot by Citedy" description: > 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, LinkedIn, Facebook, Reddit, Threads, Instagram, Instagram Reels, YouTube Shorts, and Shopify, generate lead magnets (checklists, swipe files, frameworks), ingest any URL (YouTube videos, web articles, PDFs, audio files) into structured content, ultra-cheap turbo articles from 2 credits, generate short-form AI UGC viral videos with subtitles, and run fully automated content autopilot. Powered by Citedy. version: "3.0.0" author: Citedy tags:

• seo
• content-marketing
• competitor-analysis
• social-media
• article-generation
• trend-scouting
• writing
• research
• content-strategy
• automation
• lead-magnets
• content-ingestion metadata: openclaw: requires: env: - CITEDY_API_KEY primaryEnv: CITEDY_API_KEY privacy_policy_url: https://www.citedy.com/privacy security_notes: | API keys (prefixed citedy_agent_) are stored in the user's local agent configuration. Keys authenticate only against Citedy API endpoints (www.citedy.com/api/agent/*). All traffic is TLS-encrypted. Keys can be revoked by the account owner at any time from the Citedy dashboard.

---

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)
• 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
• 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:

1. GET /api/agent/me — get referral URL + connected platforms
2. POST /api/agent/autopilot with { "source_urls": ["https://..."] } — wait for response — get article_id
3. 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:

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

Set-and-Forget: Session to Cron to Adapt

Automate content generation on a schedule:

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

Ingest → Research → Article

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

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

Choosing the Right Path

---

Examples

User sends a link

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

1. POST /api/agent/autopilot with { "source_urls": ["https://example.com/ai-trends"], "size": "mini" }
2. Wait for response (may take 30-120s depending on size)
3. 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"

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

Reply to user:

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

1. AI-generated video scripts outperform text posts (engagement +340%)
2. 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"

1. 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?"

1. 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 asynchronous and 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
}

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

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. Articles are auto-published and the URL works immediately.

/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:

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)

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
}

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. (REST endpoint only — not exposed as MCP tool)

Pricing:

Workflow:

1. POST /api/agent/ingest with { "url": "..." } → get id and poll_url
2. Poll GET /api/agent/ingest/{id} every 10s until status != "processing"
3. If completed: read summary and metadata from response
4. Optionally: GET /api/agent/ingest/{id}/content for full extracted text
5. 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:

1. POST /api/agent/lead-magnets → get id
2. Poll GET /api/agent/lead-magnets/{id} every 10s until status != "generating"
3. PATCH /api/agent/lead-magnets/{id} with { "status": "published" }
4. 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:

1. /shorts/script — generate speech script from topic
2. /shorts/avatar — generate AI avatar image (user approves)
3. /shorts — generate video segment(s) with avatar + prompt + speech_text
4. /shorts/merge — merge segments + add professional subtitles (if multi-segment)

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)

Pricing:

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
• 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 endpoint only — not exposed as 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 }.

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.

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API Quick Reference

1 credit = $0.01 USD

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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 12 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

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

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Rate Limits

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

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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 (autopilot, gaps/generate), automatically poll 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.

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Error Handling

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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.

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Heartbeat

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

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Citedy SEO Agent Skill v3.0.0 https://www.citedy.com