The IP package manager AI agents trust
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)
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.
- 📦IP PackSKILL.md + assets + LICENSEInstalls the same way in Claude Code, Codex and Cursor
- 🧩MCP5 toolssearch · check_license · get_asset_pack · attribution · register
- 🕸️GraphDependency graphOriginal → derivative → projects that use it
- 🛡️ScannerLicense Scanner reportFlags unlicensed assets, missing credits, stale packs; opens fix PRs
- 01Before launchFan developers build and register 30 mini-games on the official pack
- 02Launch weekOnly scanner-clean apps get featured. Wishlist traffic
- 03PayoutsUsage aggregated from the graph → split by contract
- Time to clear rightsTodayemail back-and-forthIn 4 weeksinstant in the agent
- Unlicensed assets slipping inTodayfound after launchIn 4 weeks0 (pre-blocked)
- Asset usage accountingTodayimpossibleIn 4 weeks30 projects tracked
- 30-day reuse rateToday—In 4 weeks40%
IP Creator OS monthly report
Period: launch D-56 → launch week4,500 MCP calls · 30 registered projects · 0 contamination
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.
Official IP Pack market
- 128 installs (example)
- 96 installs (example)
- 54 installs (example)
- 73 installs (example)
The problem
How it works
- 01DiscoverIntent-based IP and asset search
- 02VerifyCheck rights, price, and permitted use
- 03PrepareApply engine-specific Packs and Skills
- 04SettleUsage log, attribution, measurement, payout
What you receive
- ✓IP Pack schema + IP Card (allowed, prohibited, attribution duties)
- ✓License-as-Code: media, territory, revenue model, AI generation, derivative rules
- ✓5 MCPs: search_assets, check_license, get_asset_pack, generate_attribution, register_project
- ✓Derivative Graph: original → derivative → consuming project, split by contract ratio
- ✓Usage, fan stats, and boosting dashboard
What we measure
What we guarantee are operational deliverables (counts, process, review, reports); KPIs are presented as targets.
What changes hands once you sign
- 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
- Publish an official Pack (or start with a CC0 pack)
- Share install instructions with the developer community
- Approve and feature registered projects
- 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)- 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
- 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
- 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)
- 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.
What gets made
Fictional brand · concept examples · numbers are targets
- Trigger
- New product · comeback teaser
- Target
- Share rate 10%
- Revenue
- Supporter pack ₩1,000
- Trigger
- Release day
- Target
- Finish → 4,000 track clicks
- Revenue
- Skin ₩2,000
- Trigger
- Always on · event items
- Target
- Daily return 25%
- Revenue
- Monthly sub ₩3,900
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)
- ✕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
- Weeks 1–2Publish IP PackPixelForge official Pack (SKILL.md + assets + LICENSE) + a CC0 companion pack. Write License-as-Code.
- Weeks 3–4Ship the MCPVibe coders install with `npx skills add`. Claude/Codex automatically call search → check_license → get_asset_pack(phaser).
- Weeks 5–7Build & register30 mini-games built and auto-registered via register_project. Attribution generated by generate_attribution.
- Week 8Launch weekTally usage with the Dependency Graph. Feature the best entries on the Steam page and official channels. Scan for contamination with License Scanner.
“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.”
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).
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 Write one line"Make a Crunch Lab member match test"
- ② The agent pulls the Pack and rulesAllowed assets · banned phrases · credits applied automatically
- ③ Preview → submitRule check shown as passed · one button into the approval queue
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 payoutsConcept 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.