Written by: David Christopher

Compiled by: Block unicorn

While reading this report recently released by Galaxy Research, I gained one of the clearest visions of the future value of x402.

One example caught my attention: an intelligent agent helps users book trips by querying high-quality weather data through x402, finding the best dates and destinations, providing flight and hotel options, and then passing all the information to the booking process. Each query is equivalent to a micropayment. Each data source is rewarded. The intelligent agent consolidates all the information and ultimately makes the booking decision.

What impressed me is the perfect combination of x402 with data aggregation and management. Disparate data sources are integrated into proprietary data, making it more useful than any single vendor, and access is sold through x402. Data managers incur a one-time integration cost. Callers pay per query. Everyone benefits from this (provided the data volume is large enough, which we will discuss later).

From Galaxy Research

Before similar services become widespread, I still believe that x402 is in its early stages. If you are a developer looking to use x402 but struggling with inspiration, here are some theoretical product ideas I would rush to try if I could use them immediately!

Skills Endpoint

Skills are meticulously written instruction sets created by humans for AI agents to perform specific tasks.

Currently, most skill markets adopt a fixed-fee model: the prices for perpetual access are $5, $15, and $20 respectively. This model creates a misalignment of incentives. Casual users pay too much for occasional use, while power users pay too little, and skill creators cannot gain value proportional to usage. A truly useful skill should be valued much more than a one-time $15 fee, just like a truly useful consultant would (if they existed).

x402 provides an alternative. Skill creators can publish their works through the x402 interface and price them based on actual conditions: pay-per-use (one-time use), monthly subscription (a new feature in x402 V2), or both. The payment system supports both models. Skills that receive thousands of calls each month can provide ongoing income for creators, while less frequently used skills do not require users to pay upfront.

Niche Cryptocurrency News Aggregation Packs

Cryptocurrency news is scattered across platforms like Twitter, Telegram groups, podcasts, RSS subscriptions, and Substacks. Tracking a specific ecosystem makes the problem even trickier. Keeping up with all developments in Sui or Starknet means monitoring a dozen information sources and checking daily.

An x402 data stream for ecosystems can solve this problem. Someone aggregates Twitter profiles, articles from website RSS feeds, and Telegram messages into a selected information stream tailored to a specific ecosystem via an API. The agent queries: "What happened in Starknet in the past 24 hours?" and receives a structured response. No need to switch between tabs and applications anymore.

Aggregating Ecosystem Data

Measuring developer activity has always been challenging.

Electric Capital's annual report and its continuously updated dashboard are an excellent open-source resource, yet it has its limitations. For example, I just looked at the ecosystems with the highest developer growth in the past year, and it showed PancakeSwap, Monad, and Aleo. Of course, this is because I only filtered by one metric—but it also reflects a broader issue: developer activity data in the cryptocurrency space is highly fragmented, with no single data source providing a complete picture.

If there could be an x402 data source that aggregates Electric Capital data, GitHub activity, Artemis indicators, and protocol-specific data sources into a quality-weighted developer activity stream, it would fill a significant gap. The agent queries: "What has been the developer momentum in Solana over the past quarter?" and receives more useful information than just the original number of commits.

Newsletters and Podcast Performance Tracker

One idea I would personally use is to provide a service that can clearly track the points raised in newsletters or podcasts and measure their development over time.

Citron has done something similar for the stock market, publishing a scorecard at the end of the year for its annual predictions and their performance. But for most newsletters and podcasts, if you want to know whether a media's predictions have genuinely yielded results over time, you have to do manual research.

A service from x402 could benchmark media predictions, filling this gap. Simply provide the newsletter or podcast, and it can track each prediction, add timestamps, follow up on price trends, and score the media's past performance. The agent queries: "How has the asset prediction performance of X been over the past year?" and receives verified answers.

Security and Audit Tracker

When protocols are under attack, they often do not proactively release announcements. Moreover, news cycles are fast-paced, and if you are offline on the day of the breach, you might completely miss it. By the time you need to take action, an event that should have garnered significant attention has already been drowned in weeks of news reports.

The situation with security audits is no better. Audit reports are scattered across audit agencies' websites, protocol documentation, and GitHub code repositories. Reviewing a protocol’s audit history is much more challenging than expected.

If there could be an x402 information stream that aggregates this data into a queryable endpoint, it would be great if users could pay a few cents extra to access this stream before deciding whether to allocate rewards, especially when operating through an agent interface.

Is This Really Feasible?

Everything I mentioned above faces two questions: can the economics sustain teams building these information streams? Can they develop legally?

From an economic perspective, historical experience is not optimistic. Since the early days of the internet, project-based payment models have struggled. The cognitive costs of deciding whether something is worth paying for often exceed the costs of paying itself. This is why the internet has shifted to subscription models: bills are predictable, decision fatigue is avoided, and user churn rates are reduced.

But the emergence of agents has changed everything. You top up your wallet, the agent spends on your behalf, and when your balance runs low, you recharge again. The way API credits work is similar. The question shifts from "Is this few cents worth it?" to "Can endpoint providers recoup their costs in scaled applications?" That depends on the volume of traffic.

In terms of legality, x402 takes care of payments and measurements. It does not change the upstream data copyright issues. If you are using licensed APIs, public data, or first-party X402 endpoints, then it is just straightforward product development work. But if you rely on web scrapers or tread in gray areas of service terms, your durability and scalability may be limited. Once upstream providers notice and issue disputes, you enter dangerous territory.

x402 V2 introduces dynamic payment routing to achieve revenue sharing. Data managers can return a portion of the revenue to the original data providers, thereby coordinating the incentives for both parties and transforming potential service term conflicts into collaborative relationships, but this does reduce profit margins.

Whether the economics and legality can both establish at scale remains to be seen. But if they truly can, these are the data streams I would pay to use.

Whether this economic and legal mechanism can work simultaneously in scaled applications remains to be seen. But if it can really work, these are the data streams I would pay to use.