Analytics and monitoring decision

AgentMRR

A small technical team can build the core submission + verification + leaderboard flow, but the product's durable value (audience, brand, and public trust) is not reproduced by a DIY replacement.

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Built by DevThijs, who ships 3 products in this index

You pay

Not priced

No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.

You’d pay instead

$100one-off80 h to build

$0/mo6 h/mo upkeep

No published price to break even against.

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 AgentMRR alternatives, with the arithmetic →

What a replacement has to do

  • Users submit an agent and a read-only revenue key; the system verifies MRR, stores the listing, and displays searchable ranked leaderboards.

What it still won’t have

  • Established audience, SEO and traffic that drives organic submissions
  • Brand trust and third‑party visibility from an existing public leaderboard
  • Any curated vetting, historical reputation, and network effects of existing listings

What remains hard

  • Brand trustAgentMRR The public revenue leaderboard for AI agents. Verified MRR, transparent rankings, and the founders shipping them.
Read the build prompt

First-year cost

No published price

AgentMRR 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
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Subscription price × seats × 12

Build it
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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 public revenue leaderboard web app in Node.js (Express) + React, Postgres for storage, and a background worker (Bull or similar) for verification. Core features in scope: REST API to submit agents with a read-only revenue verification key, a verification worker that calls payment/platform APIs (mockable interfaces), store verified MRR and history in Postgres, searchable/sortable leaderboard frontend, agent detail pages, submission UI, and an admin dashboard to flag listings. Out of scope: paid advertising platform, complex analytics dashboards, and proprietary integrations beyond a generic payment-provider adapter. Include error handling, validation, authentication for admin endpoints, CI tests for API and verification logic, and containerized deployment (Docker) with a simple Terraform or Docker Compose staging setup.
How we checked4 sources · 2/3 runs agreed · evidence score 60

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 4 cited sources+3
  • Evidence score60

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.

! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat quoted from the page