The common pain points of bridges, oracles, and intent networks are "high costs, unstable latency, and unclear boundaries." PROVE quantifies and prices "trustworthiness" mathematically, allowing developers to invoke proofs like cloud services, paying as needed and using them on demand.

The API is clearly abstracted: task queuing, asynchronous generation, and callback on-chain; multiple types of curves and proof systems are pluggable, balancing speed, size, and cost according to the scenario; validators are cross-chain reusable, reducing the maintenance surface across multiple ecosystems. For developers, it is "ready to use"; for users, it is "results are trustworthy"; and for protocols, it is "minimizing trust assumptions."

The observation dimensions of the moat are very specific: universality (language and system support), scale (concurrency and throughput), stability (retry success rate and callback SLA), and unit price trend (cost curve). When all four lines improve simultaneously, the network effect from real calls will better illustrate the issue than single-chain TVL. #SuccinctLabs @Succinct $PROVE