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Resvary
Retry-safe prepaid credits and usage billing for AI products
Resvary gives AI products a retry-safe prepaid credit ledger. Reserve the maximum cost before a model or tool runs, charge actual usage once, and release the remainder. Use the open-source TypeScript SDK with SQLite or Postgres, then trace balances and recover failed operations in the Operator Console.
Hi Product Hunt,
I built Resvary because prepaid AI credits get complicated as soon as requests retry, overlap, fail, or report usage after the work finishes. A balance column cannot tell you which funds are available, which are reserved, or whether a retry should charge again.
Resvary wraps each operation in a reserve, commit or release flow. It records immutable price versions and usage receipts, supports SQLite and PostgreSQL, and includes a worker and Operator Console for tracing balances and recovering failed operations.
Keep Stripe or another payment rail for checkout and invoices. Resvary handles the credit authorization around each model or tool call.
I publish Resvary under Apache-2.0. You can install the packages from npm and run the deterministic demo without an AI key. The agent demo also shows Testnet funding through Circle Gateway and Arc.
I’d love feedback from teams already using prepaid credits or usage billing. Which failure cases have caused the most pain in your stack?
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About Resvary on Product Hunt
“Retry-safe prepaid credits and usage billing for AI products”
Resvary was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #159 on the daily leaderboard. Resvary gives AI products a retry-safe prepaid credit ledger. Reserve the maximum cost before a model or tool runs, charge actual usage once, and release the remainder. Use the open-source TypeScript SDK with SQLite or Postgres, then trace balances and recover failed operations in the Operator Console.
Resvary was featured in Open Source (68.9k followers), Developer Tools (520.4k followers), Artificial Intelligence (479.9k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 257.1k products, making this a competitive space to launch in.
Who hunted Resvary?
Resvary was hunted by Andre. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Resvary stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Andre