Today we\u2019re excited to announce the launch of the first core service in our platform: the AI Schema Learning Framework (ASLF).<\/p>\n
\ud83c\udfaf What it does:
\nASLF ingests raw transaction and network data, normalizes disparate schemas, and generates canonical format outputs that our downstream systems (like RLIE \u2014 the Reinforcement Learning Inference Engine) can use for decision-making.<\/p>\n
\ud83e\uddf1 Initial features in place:
\n\u2022 Service skeleton created \u2014 endpoints deployed and running locally
\n\u2022 Ingestion and simple store implemented \u2013 raw data landing in our dev store
\n\u2022 Normalize-only endpoint added, enabling conversion of input data to canonical format
\n\u2022 Documentation and sample schema fixtures published \u2014 dev team ready for onboarding<\/p>\n
\u2705 Why this matters:
\n\u2022 It lays the foundation for multi-chain interoperability by unifying schema context
\n\u2022 Speed and accuracy of downstream analytics depend on this engine
\n\u2022 Having ASLF up moves us a big step closer to our MVP launch<\/p>\n
\ud83d\udea7 Next steps:
\n\u2022 Schema persistence & versioning (transition from in-memory to persistent DB)
\n\u2022 Feedback loop logging and integration with RLIE
\n\u2022 Expand ingestion pipelines to support BTC, ETH, CEX and DEX data feeds<\/p>\n
Stay tuned \u2014 we\u2019re building fast, and the next phase of the platform is around the corner.<\/p>\n","protected":false},"excerpt":{"rendered":"
Today we\u2019re excited to announce the launch of the first core service in our platform: the AI Schema Learning Framework (ASLF). \ud83c\udfaf What it does: ASLF ingests raw transaction and network data, normalizes disparate schemas, and generates canonical format outputs that our downstream systems (like RLIE \u2014 the Reinforcement Learning Inference Engine) can use for […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-621","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/greyhatlabs.io\/index.php\/wp-json\/wp\/v2\/posts\/621","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/greyhatlabs.io\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/greyhatlabs.io\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/greyhatlabs.io\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/greyhatlabs.io\/index.php\/wp-json\/wp\/v2\/comments?post=621"}],"version-history":[{"count":1,"href":"https:\/\/greyhatlabs.io\/index.php\/wp-json\/wp\/v2\/posts\/621\/revisions"}],"predecessor-version":[{"id":622,"href":"https:\/\/greyhatlabs.io\/index.php\/wp-json\/wp\/v2\/posts\/621\/revisions\/622"}],"wp:attachment":[{"href":"https:\/\/greyhatlabs.io\/index.php\/wp-json\/wp\/v2\/media?parent=621"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/greyhatlabs.io\/index.php\/wp-json\/wp\/v2\/categories?post=621"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/greyhatlabs.io\/index.php\/wp-json\/wp\/v2\/tags?post=621"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}