How Xint’s Predictable Pricing Solves the Token Burn Problem for AI in AppSec
Summary
Xint explains why token-based AI scanning costs can grow far faster than code volume, and how its model-agnostic, multi-agent orchestration keeps pricing predictable as codebases scale.
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--- id: 4643 title: "How Xint’s Predictable Pricing Solves the Token Burn Problem for AI in AppSec" source_domain: theori.io source_url: "https://theori.io/blog/154812" published_at: "2026-04-09 21:32" tags: ["ai-security", "pricing", "code-analysis", "orchestration", "token-cost"] phying_url: "https://phying.com/item/4643" lang: en --- # How Xint’s Predictable Pricing Solves the Token Burn Problem for AI in AppSec ## Summary Xint explains why token-based AI scanning costs can grow far faster than code volume, and how its model-agnostic, multi-agent orchestration keeps pricing predictable as codebases scale. ## Intelligence Metadata - **Sources:** theori.io - **Published:** 2026-04-09 21:32 - **Original:** https://theori.io/blog/154812 - **Phying News:** https://phying.com/item/4643