Revenue OS for creators, publishers and app makers
App Revenue connects your channels, sites, apps and programs, finds legitimate monetization opportunities, and runs specialized AI agents inside the permissions and budgets you set.
Read-only connections where official APIs allow it (Stripe today; YouTube, AdSense and Facebook next). CSV and manual entry for everything else. We never ask for platform passwords.
Agents match your assets against 86 monetization programs researched from official documentation, each with sources and a last-verified date.
Specialist agents analyze revenue, find winning topics, and prepare drafts, inside the permissions, budgets and risk limits you set.
Revenue, fees, AI costs and profit in one place. Actual, estimated and forecast figures are always labelled separately.
Unknown facts are marked “Unknown / needs verification”. Estimates are never shown as actual revenue.
Permission → policy → risk → budget checks run before every agent tool call. Blocked activity (fake engagement, spam, evasion) can't be executed.
Sensitive actions wait in your approval queue, pinned to exactly what you reviewed.
One button halts every agent in the workspace immediately.
Billing isn't live yet. Planned tiers (subject to change). The demo is always free.
3 accounts · 2 agents · Manual & Assisted modes
15 accounts · all agents · Auto mode · AI budget controls
Team workspaces · RBAC · audit export
Client workspaces · white-label reports
Not by default. Publishing permissions start OFF. On X, posts made with automated creation methods can be excluded from Original Content Rewards, so the X agent prepares drafts for you to post in your own words.
Today: Stripe (read-only restricted key). Our research found official revenue APIs for YouTube (YPP channels), AdSense and Facebook Page insights; those adapters are next. Platforms without a revenue API (X, TikTok, Instagram, Amazon Associates…) use CSV or manual entry.
The App Revenue AI Core routes each task to the cheapest model that meets its quality bar (Anthropic Claude today, OpenAI-compatible and local models supported). Without any model configured, agents run in rules-only mode.
Credentials are encrypted with AES-256-GCM, bound to their connection, and never returned to the browser. Every agent action is audited with secrets redacted.