Coinbase has introduced a major upgrade to its x402 payments protocol, adding support for usage-based pricing to better handle the needs of agentic AI services.
The update moves away from the protocol’s former flat-fee pricing model and comes against the backdrop of a broader effort within the sector to create payment frameworks capable of handling autonomous machine-to-machine actions.
The crypto exchange has introduced a functionality referred to as the “Upto” payment method, which will allow charges to be made based on how extensively the service is being utilized. Unlike the former model, companies will now be able to charge users based on variables such as processing time, token counts, or data requests.
Developers at Coinbase have claimed that the aim is to simplify the process of generating income for applications where charges may differ from one request to another.
x402 initially used fixed pricing for predictable service
x402’s original model relied on fixed pricing for services where costs were known upfront. This approach worked well for predictable services, such as API requests, where the price could be established in advance.
This presented a problem when applying it to AI-driven services. For instance, sending a request to an AI model would use up more computational power compared to searching for information online, thus making fixed payments difficult to implement.
The implementation of usage-based payment opens doors for more flexible services. These include AI model inferencing, computation-intensive tasks like those offered by the cloud, and data retrieval services whose demands are increasing as the adoption of artificial intelligence grows.
In effect, it follows the same path of charging that cloud providers take regarding their services.
Technically, the platform is developed as an Ethereum Virtual Machine (EVM) implementation and thus able to work on several blockchain-based networks of similar standards. All ERC-20 tokens are accepted by this platform, which makes it easier to pay for different things. Another point mentioned by the firm is that Coinbase Developer Platform Facilitator allows making gas-free transactions, eliminating any direct involvement in paying transaction fees for users and their AI bots.
Upgrade arrives as agentic commerce gains momentum
The upgrade comes at a time when there is an increasing interest in what is called agentic commerce, where AI agents act on behalf of people to do things like buy services, acquire data, or even complete a particular digital workflow process.
With advancements in AI becoming common, they are predicted to be able to conduct huge transaction volumes which will require an appropriate payment system infrastructure.
There are already various companies in both the tech and finance industries which are making preparations for that future by creating payment protocols that are meant for machine-to-machine payments.
x402, for instance, is one of these payment protocols that were made with automation in mind, and the new pricing policy makes it easier for software developers to implement.
Rather than being forced to price their services in an inflexible manner, they may be able to do so in a manner that takes account of actual consumption. Such flexibility will likely provide greater scope for experimentation within AI-based service provision and marketplace creation, especially when demand varies.
In other words, the innovation marks a move toward a new paradigm for the digital payment industry, as it transitions from a static model to a dynamic one that incorporates autonomous technology.
In a world dominated by AI, the digital payments industry is adapting accordingly.