Fan Vibes
Shared foundationpay.docenty.ai + IP Registry

The IP package manager AI agents trust

IP Creator OS

IP Pack, License-as-Code, SDK/API/MCP/Skill, usage tracking, billing and revenue share, fan stats and boosting. The shared rail the five products above run on.

SaaS subscription + transaction fee (hypothesis)

Output → Use → Business value

One install: rights check to asset use, inside the agent

Developers pick legal assets inside their coding agent; rights holders see which app used what, with a basis for payouts.

① What you receive
  • 📦
    IP Pack
    SKILL.md + assets + LICENSE
    Installs the same way in Claude Code, Codex and Cursor
  • 🧩
    MCP
    5 tools
    search · check_license · get_asset_pack · attribution · register
  • 🕸️
    Graph
    Dependency graph
    Original → derivative → projects that use it
  • 🛡️
    Scanner
    License Scanner report
    Flags unlicensed assets, missing credits, stale packs; opens fix PRs
② Where it is used
  1. 01
    Before launch
    Fan developers build and register 30 mini-games on the official pack
  2. 02
    Launch week
    Only scanner-clean apps get featured. Wishlist traffic
  3. 03
    Payouts
    Usage aggregated from the graph → split by contract
③ Business value (targets)
  • Time to clear rights
    Today
    email back-and-forthIn 4 weeks
    instant in the agent
  • Unlicensed assets slipping in
    Today
    found after launchIn 4 weeks
    0 (pre-blocked)
  • Asset usage accounting
    Today
    impossibleIn 4 weeks
    30 projects tracked
  • 30-day reuse rate
    Today
    —In 4 weeks
    40%
Targets · concept example
The one-page report you get in 4 weeksDocenty · Fan Vibes

IP Creator OS monthly report

Period: launch D-56 → launch week

4,500 MCP calls · 30 registered projects · 0 contamination

Skill installs100
MCP calls4,500
Registered projects30
License Scanner28 clean · 2 fix PRs · 0 blocked
Wishlist traffic8,000
Verdict
Usage data becomes the evidence for the next IP deal. Start with CC0 packs, grow into official packs.
Next
Launch D+14 · first payout run
Targets · concept example
Concept screen · IP Creator OS

IP marketplace → package install → admin console

Choose an IP Pack in the marketplace, install it with the package manager, and watch licenses, registered apps, approvals and payouts in the console.

1 · The creator picks

Official IP Pack market

  • 128 installs (example)
  • 96 installs (example)
  • 54 installs (example)
  • 73 installs (example)
Concept mockup · not a deliverable
Why now

The problem

Hugging Face, Civitai, and Fab are strong at asset search and sales, but rights verification for third-party IP, per-use licensing, and unified IP-owner / creator / fan operations are still empty.
In the AI era the hub's user is an agent, not a person. For an agent to search, verify, apply, and register, it needs a machine-readable license.
Flow

How it works

  1. 01
    Discover
    Intent-based IP and asset search
  2. 02
    Verify
    Check rights, price, and permitted use
  3. 03
    Prepare
    Apply engine-specific Packs and Skills
  4. 04
    Settle
    Usage log, attribution, measurement, payout
Scope

What you receive

KPI

What we measure

MCP callsProjects using assets30-day reuse rateSettled GMV

What we guarantee are operational deliverables (counts, process, review, reports); KPIs are presented as targets.

Receive · Do · Effect

What changes hands once you sign

📦
What you receive
Prepared by Docenty
  • IP Pack schema + IP Card
  • 5 MCPs + Agent Skill (Claude Code, Codex, Cursor)
  • Ready-to-Build Pack (Phaser, Godot, React)
  • Dependency Graph, License Scanner, payouts
✅
What you do
Minimal effort
  • Publish an official Pack (or start with a CC0 pack)
  • Share install instructions with the developer community
  • Approve and feature registered projects
📈
Expected effect
Targets · measurable
  • Rights checks and attribution happen automatically inside the agent
  • Aggregate which app used which asset → basis for payouts
  • Start today without a famous IP; usage data becomes your IP sales pitch

Production flow — you do only four things

Example schedule (concept)
  1. W0Kickoff (90 min)
    You provide
    Launch / event dates, brand assets, allowed and banned scope
    Docenty + fans
    Build the IP Pack, write License-as-Code, draft the campaign page
    You get
    An IP Pack with an agreed scope + campaign page
  2. W1Recruit · distribute
    You provide
    One official announcement (copy provided)
    Docenty + fans
    Recruit creators, ship the Pack and AI Skill, swap the demo skin
    You get
    Creator roster, build guide
  3. W2–3Build · review
    You provide
    Check the approval queue (twice a week, 10 min)
    Docenty + fans
    Fans and vibe coders (creators who code with AI) build; AI rule checks, change requests, gallery
    You get
    N approved fan pieces (rights consent included)
  4. W4Spread · settle
    You provide
    Feature the winners on official channels
    Docenty + fans
    Result-card spread, payments and creator payouts (Docenty Pay), measurement
    You get
    Participation · share · traffic · payment dashboard, reusable content library

Your total effort: a 90-minute kickoff, one announcement, approval checks twice a week (10 min each), one shout-out of the winners. Docenty runs the rest.

Output concept

What gets made

Fictional brand · concept examples · numbers are targets

Crunch Lab Member Match
You are “Night Shift Researcher”
The most creative combos happen after midnight
Pal · Crunch
Pal · Cheese
Pal · Spice
Share result
₩1,000 supporter pack · back the creator
Personality quiz@vibecoder_minji
Member Match
Trigger
New product · comeback teaser
Target
Share rate 10%
Revenue
Supporter pack ₩1,000
Concept mockup · not a deliverable
‘Moonlight’ Rhythm Gamex12 COMBO
PERFECT
SCORE 48,200Listen →
Mini game@beatmaker_j
New Single Rhythm Game
Trigger
Release day
Target
Finish → 4,000 track clicks
Revenue
Skin ₩2,000
Concept mockup · not a deliverable
Raise Your Bias · Day 12🔥 12-day streak
Lv.7 → Lv.8780 / 1,000
🎧 New single item
🎂 Birthday hat
🎤 Concert light
🔒 ???
Check in · feed
Virtual pet@fan_yj
Raise Your Bias
Trigger
Always on · event items
Target
Daily return 25%
Revenue
Monthly sub ₩3,900
Concept mockup · not a deliverable
Concept scenario · Platforms / developers

Eight weeks where one install lets the coding agent handle everything from rights checks to application

Indie studio 'PixelForge' + 30 vibe coders (Fictional indie studio · open-license assets + its own IP Pack)

Steam launch D-56Buyer's view
Who
Founder and publishing lead, indie studio
This quarter's goal
30 fan-made mini-games before launch for wishlist traffic, zero license incidents
What keeps them up at night
Wants to encourage fan games but explains which assets can be used, and how far, every single time. Worried about missing attribution and unlicensed assets slipping in
How it's done today
  • ✕Fan developers get an asset ZIP + a verbal 'please don't use this'
  • ✕Unlicensed assets and missing attribution slip into fan games, found after launch
  • ✕No way to tally which fan games used our assets
Operating timeline
  1. Weeks 1–2
    Publish IP Pack
    PixelForge official Pack (SKILL.md + assets + LICENSE) + a CC0 companion pack. Write License-as-Code.
  2. Weeks 3–4
    Ship the MCP
    Vibe coders install with `npx skills add`. Claude/Codex automatically call search → check_license → get_asset_pack(phaser).
  3. Weeks 5–7
    Build & register
    30 mini-games built and auto-registered via register_project. Attribution generated by generate_attribution.
  4. Week 8
    Launch week
    Tally usage with the Dependency Graph. Feature the best entries on the Steam page and official channels. Scan for contamination with License Scanner.
What this campaign produces (example)
Tool
ToolIP Creator OS
docenty/ip-creator Skill
Agent Skills standard. Works across Claude Code, Codex, Cursor.
Install target 100
Mini-game30 vibe coders
30 Fan-made Mini-games
Built on the Phaser Ready-to-Build Pack. Auto-attributed.
Registered project target 30
Tool
ToolIP Creator OS
License Scanner Report
Detects unlicensed assets, missing attribution, outdated Packs; opens a fix PR.
Contamination incident target 0
Results dashboard (target mockup)
As of week 4
MCP calls4,500
Projects using assets30
30-day reuse rate40%
Missing attribution / unlicensed0
Wishlist traffic8,000
What we say in the meeting

“We measure MCP calls, projects using assets, and 30-day reuse rate, not website visitors. You can start today with a CC0 pack, no famous IP required.”

Proposed package
Free for developers · rights-holder SaaS subscription + transaction fee (hypothesis)

A concept scenario built from a fictional brand, buyer and schedule. Numbers are campaign targets, not achieved results or customer cases. Prices are a sales hypothesis (VAT excluded).

How a fan builds one

One line in, a submittable app 90 seconds later

Same in the web builder or in the Claude Code / Codex you already use. The agent fetches the IP Pack and rules; the fan writes one line of idea.

  1. ① Write one line
    "Make a Crunch Lab member match test"
  2. ② The agent pulls the Pack and rules
    Allowed assets · banned phrases · credits applied automatically
  3. ③ Preview → submit
    Rule check shown as passed · one button into the approval queue
⏱ 90 s
fan-vibes.docenty.ai/build
IP PackCrunch Lab v2.1 · fan creation allowed
6 allowed · 4 banned · commerce: supporter pack only
Preview
Night Shift Researcher
Share
✓ Rules passed · credits added · ready to submit
✕ No account to create
Submit via link. Connect Docenty Pay only when payouts matter
✕ No design assets
The official Pack supplies characters, palette and prompts
✕ Less rule-checking
Allowed and banned come as code; the agent filters first (not a substitute for legal review)
Prompt → app → submit. Numbers are demo targets.
Developer GTM (concept)

npm for AI-ready IP

One install and your coding agent handles everything from rights checks to applying the content. The KPIs are MCP calls, projects using assets and 30-day reuse rate, not website visitors.

# From Claude Code / Codex / Cursor
$ npx skills add docenty/ip-creator          # SKILL.md + assets + LICENSE (Agent Skills standard)

# 5 MCP tools (v0)
search_assets(intent, usage, budget)         # Intent-based search: compare rights, format, price and engine compatibility at once
check_license(asset_id, project_context)     # License-as-Code verdict — anything outside the rules is "approval required"
get_asset_pack(asset_id, framework)          # Ready-to-Build Pack for Phaser / Godot / React
generate_attribution(asset_ids)              # Auto-generated attribution
register_project(asset_ids, project_url)     # Register in the Dependency Graph → tracking and payouts
Concept mockup · not a deliverable

Dependabot for IP

Checks each project for license changes, regional restrictions, missing attribution and new Pack versions, then opens fix PRs. Entry point: the free License Scanner.

Agent-native IP Request

When an agent can't find a fitting asset, it aggregates demand (type, use, medium, country, budget, deadline) with consent → a sales asset for suppliers.

Federated Registry

Federates existing hubs such as Kenney, CC0 and Sketchfab (CC). No re-hosting: only the search, verification and Pack-conversion layer.

Get started

IP Creator OS pilot consultation

Sister products

Same engine, different packaging

See the full IP Creator Program

▶ DemoProposalRequest a demo