P402.io
Route, verify, and settle paid API calls with clear traces
83 followers
Route, verify, and settle paid API calls with clear traces
83 followers
Most AI apps waste 70% of their budget. Wrong models. No caching. Payment fees that destroy micropayments. P402.shop: Compare 50+ AI APIs (GPT-5.2, Claude Opus 4.5, Gemini 3, more). Find the right model for your use case. See costs explode from 100 to 1M users. Free. P402.io: Accept micropayments without Stripe's $0.30 killing you. 1% flat fee. Built on x402—HTTP's payment standard, finally working. Vibe-coded apps break at scale. Optimized ones don't.
P402.io
I like the idea. It would be great if the app could connect to Git, analyze what and how things are being used, and immediately give optimization suggestions.
P402.io
@mykyta_semenov_ I added this feature! you can now put your public git repo and P402.io will do an analysis on your LLM spend and make suggestions for code optimizations for savings
Product Hunt
For model cost optimization, how does P402.io's recommendations compare to just using OpenAI’s or Anthropic’s built‑in cost/perf guidance or tools like OpenRouter’s benchmarks?
P402.io
@curiouskitty Great question
OpenAI/Anthropic's built-in guidance: Inherently limited to their own ecosystem. Anthropic will never tell you "actually, DeepSeek R1 handles this task at 4% of the cost." Their guidance optimizes within their models, not across the market. Same with OpenAI, they'll recommend GPT-5.2 vs GPT-4o, but won't surface that Gemini 2.5 Flash might be 10x cheaper for your specific use case.
OpenRouter: Genuinely good. Their benchmarks are useful for capability comparison. But OpenRouter is a routing/aggregation layer their incentive is throughput, not helping you minimize spend. They show you prices, but don't model what happens to YOUR economics at 100K users vs 1M users. They also don't factor in the payment layer (which is where P402.io comes in).
Where P402.shop is different:
Vendor-agnostic: We have no incentive to push you toward any provider
Scale modeling: Not just "price per token" but "your actual bill at your actual volume"
Task-matching: Recommendations based on use case, not just benchmarks (summarization ≠ reasoning ≠ code gen)
Full-stack view: Model costs are only part of the picture. If you're charging micropayments, Stripe's $0.30 might be bigger than your AI costs
Honestly, use all of them. OpenRouter for capability benchmarks, provider docs for specific features, P402.shop for the cross-provider economics and scale modeling.
We're not trying to replace benchmarks, we're solving the "I'm bleeding money and don't know where" problem.
My Financé
your landing page is really nice! i actually posted internally in slack about how nice it is!
i did notice this unit which is a. very impressive but b. likely a bit off in terms of contrast!
congrats on launching!
P402.io
@catt_marroll thank you for the shoutout on your slack and the heads up. I am pushing a fix for this now, always iterate, really appreciate the feedback!
vibecoder.date
Loving the idea, are you planning to offer MOR capabilities? or stay focused on just payments.
P402.io