AI assistants and search decision

Claw Mart

Rebuilding a basic storefront and local skill delivery is realistic for a small team, but Claw Mart's marketplace liquidity, creator base, and discoverability are durable advantages you would lose, so keep paying for full marketplace effects unless you only need a private storefront.

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SubscriptionCustom pricing
Initial build160 hours
Monthly upkeep6 hours + $300
Evidence3/3 runs agree

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Claw Mart alternatives, with the arithmetic →

What a replacement has to do

  • List searchable skill/persona listings; accept purchases; deliver skill packages (metadata + files); allow installation into an OpenClaw agent; basic creator dashboard for uploads and payouts.

What it still won’t have

  • Marketplace liquidity and existing catalog of 2,000+ listings
  • Existing creator base and earned revenue pool
  • Buyer trust signals: reviews, most-installed indicators, and newsletter reach
  • Network effects and discoverability from an established marketplace

What remains hard

  • Marketplace liquidity2,000+ listings
  • Network effectsClaw Mart — The App Store for AI Agents
Read the build prompt

First-year cost

No published price

Claw Mart does not publish a price we could read, so there is nothing to compare against. What building costs is below.

Money you would actually spend

Keep paying

Subscription price × seats × 12

Build it

AI build APIs + hosting

Time you would spend

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal Claw Mart-style marketplace: use Next.js + Tailwind for frontend, Node.js + Express (or Next API) with Postgres for backend, Stripe for payments, AWS S3 for skill artifact storage, and Meilisearch for discovery. Implement: user auth (email + Stripe customer), listing CRUD for creators, searchable browse and detail pages, purchase flow with Stripe one-off payments, delivery of signed download URLs for purchased skill packages, a webhook/API endpoint that returns install metadata for an OpenClaw agent, creator dashboard with basic earnings accounting, and automated tests for API and critical UI paths. Out of scope: seller onboarding KYC, advanced analytics, multi-agent orchestration, and a mobile app. Include error handling, input validation, and unit/integration tests.
How we checked4 sources · 3/3 runs agreed · evidence score 26

How the score was reached

  • Pay verdict base20
  • An open-source build was found+5
  • 4 cited sources+3
  • 3/3 assessment runs agreed+4
  • Hard moats found in the evidence-6
  • Evidence score26

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 4

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 2 moats quoted from the page