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Preserve identifiers and evidence before applying AI to asset records.
This tag focuses on the data around tokenized assets: source identity, observation time, document versions and the chain of transformations leading to an AI output. It is intended for developers designing extraction, classification and provenance workflows. Financial claims are not a substitute for a traceable record.
Begin with a source you can identify precisely, then state which facts a model is allowed to infer from it. Keep derived representations separate from the original evidence. The provenance guide explains how to retain that relationship, and the topic pages distinguish asset-related tokens from the token units used by a language model. Those meanings require different contracts even when the same word appears in both.
1 article tagged Tokenized assets
Build traceable AI data workflows for tokenized assets by preserving source identity, observation times and derivation records. Separate claims from conclusions and evaluate classification with realistic evidence gaps. Connect each model result to the records that supported it.
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TensorAPI.com