Abstract
The present disclosure relates to a dynamic tokenization system for facilitating intent-driven transactions between autonomous agents. The system includes a context-aware token that encodes metadata defining multiple conditional spending profiles associated with distinct transaction intents. An intent declaration module receives specified transaction intents from the initiating autonomous agent, while a policy engine evaluates the declared transaction intent along with contextual factors such as agent identity and historical transaction behavior. A dynamic parameterization mechanism updates the metadata of the context-aware token in real-time, establishing context-specific limits on spending, merchant restrictions, transaction velocity, and expiration rules. During authorization, an authorization network validates transaction requests against these context-specific restrictions. Following transaction completion, a post-transaction controller reverts the context-aware token to a neutral state, ensuring no elevated permissions persist beyond the transaction lifecycle.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
MATAM, CHANDRA SHEKHAR; TRIPATHI, HARSHWARDHAN; and LAKRA, NANCY, "DYNAMIC CONTEXT‑AWARE TOKENIZATION FOR INTENT‑DRIVEN AGENT‑TO‑AGENT TRANSACTIONS", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10577