Loops. Gotta loop money to make money, amirite?

Operator revenue share is proportional to exposure. `exposureBps` = how much of your delegation you're putting at risk for this service. 50% exposure earns half the fee share of 100% exposure, all else equal. More risk on the table = larger cut of every payment.

Immediate distribution splits by USD-weighted score, not raw token amount. Each delegator's score = staked amount x lock multiplier. Longer locks earn more score per unit of capital. ETH and stablecoin delegators compete on USD-equivalent exposed value. One oracle normalizes all assets.

First decision isn't who gets paid. It's when. If the service has a TTL, the full payment transfers to `StreamingPaymentManager` and drips pro-rata over the service lifetime. Delegation changes mid-service? Drip runs at current score ratios first. Can't bond stake after a job runs and claim retroactive share.

`distributeServiceFee` is the entry point. Only the Tangle contract can call it. Native ETH and ERC-20 both handled. `msg.value == amount` enforced for native — prevents accounting bugs where the caller lies about what they sent.

x402 gets the payment. Then what? Tangle's on-chain distribution layer decides who gets paid, how much, and when. tangle.tools/blog/blueprint-…

As agents and infrastructure become more faster, more useful, and more affordable, the applications we will build together will be eye opening. Follow along for more updates as we keep building the future.

Creating three quests for the XLayer partner in the app: create the first XLayer project, star the XLayer okx/xlayer-reth GitHub repository, and follow the XLayer X/Twitter account.

Blueprint Agent gives XLayer a developer onboarding platform that proves builders actually built something. Sponsored credits lower the barrier. Quest verification proves the work. AI assistance accelerates delivery.

Tangle's Blueprint Agent platform allows users and partners to customize agent profiles for their agent executions. This allows us to both test and benchmark over time how different agent profiles perform on your ecosystem. We gather rich data about your user and agent metrics.