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Massive API calls continue to drive the 'Token First Stock' surge, with Xunce Technology leading gains against the market trend in early trading.

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Massive API calls continue to drive the 'Token First Stock' surge, with Xunce Technology leading gains against the market trend in early trading.

Xunce (03317.HK) rose 3.96% to HKD 155 in early trading with turnover of HKD 4.52 billion. The move is tied to massive AI token call activity and strong adoption of AI agent apps; OpenRouter data shows OpenClaw reached 10.4 trillion monthly tokens as of March 15, the most-called AI app globally. The article highlights Xunce Technology's use of high-quality, vertical high-net-worth data to improve token efficiency and precision, supporting near-term demand and potentially reinforcing a competitive moat.

Analysis

Xunce’s specialization in vertical, high-trust data creates a structural customer lock-in: firms embedding model outputs into workflows will value reduced false positives and predictable outputs more than raw throughput. That raises the marginal willingness-to-pay per API call, meaning raw token volume is not the only monetization vector — companies that sell predictability can command higher ARPU and longer contract tenors, turning fleeting usage spikes into recurring revenue over 6–24 months. The larger ecosystem impact is bifurcation between model providers and precision-layer vendors. GPU/inference vendors (NVDA, TSM) inherit secular demand if call volumes keep rising, but cloud hyperscalers face a negotiation axis — they can capture more spend by bundling verticalized stacks or see margin erosion if precision-providers white-label off-platform; this creates M&A pressure in the next 12–36 months as hyperscalers buy or partner to internalize the vertical data advantage. Downside paths are clear and relatively rapid: an open-source model that matches precision at a fraction of cost, or a major data-privacy ruling that removes the ability to centrally aggregate vertical datasets, would compress valuation multiples quickly. In the near term (days–weeks) flows and positioning dominate price; in the medium term (3–12 months) contract wins, cloud partnerships, and early monetization metrics (ARPU per client, renewal rates) are the true catalysts to monitor.

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