Data.
Tabular and structured data: synthesis, transformation, and analytical reporting.
Data handles tabular data at the kernel level: spreadsheets, dataframes, query results, analytical reports. It produces signed transformations so downstream consumers can prove that a particular figure came from a particular query against a particular signed source. Granular row/column ACL (patent 18) descends to the cell level for revocation and re-authorisation. Distinct from the domain brain KARP, which carries the business-intelligence subject expertise; Data is the executor.
- 01Spreadsheet and dataframe generation
- 02Query synthesis and execution against local stores
- 03Analytical reporting with signed provenance
- 04Row/column ACL enforcement at the cell level
Authoritative external corpora and standards this brain treats as canonical. Every retrieval against these sources is signed into the audit ledger so a regulator can prove which evidence drove which output.
- 01Mickai Patent 12, 16, 18
- 02ISO/IEC 9075 SQL standard
- 03Apache Arrow and Parquet format specifications
- 04DuckDB documentation
- 05ISO 8000 data quality
- 06Frictionless Data specifications
- 07PostgreSQL and SQLite reference manuals
- 08DBT (data build tool) documentation
- 09Tidyverse data-science conventions
Mickai-native tooling primitives this brain implements internally. Codex for sovereign plain-text graph PKM, Lectern for spaced-repetition memory, Stele for citation-provenance, and domain-native primitives layered on top. No external services in the trust path; data stays on operator-personalised hardware.
- 01Prism (visual analytics)
- 02Beacon (structured search)
- 03Loom (analytics DAG scheduler)
- 04Lodestone (semantic-data index)
- 05Vellum (report workspace)