DeepaData

• Deepadata Extract — Extract an EDM artifact from text content. Interprets emotional themes, valence, relationships, and governance metadata from natural language. Use this to capture structured emotional context from therapy notes, journal entries, conversations, or any text containing emotional expression.
• Deepadata Extract And Seal — Extract and seal in a single atomic call. Combines extract → validate → issue into one round trip. Returns both the EDM artifact and the sealed .ddna envelope with certificate. Use this for the full govern pipeline when you need a verifiable artifact immediately.
• Deepadata Observe — Capture a salience record at a topic-shift boundary. Lighter-weight than full extraction, focused on detecting emotional shifts and whether escalation is recommended. Use at natural conversation boundaries or topic changes.
• Deepadata Esaa Evaluate — Evaluate an AI interaction for emotional safety. Detects manipulation patterns, vulnerability exploitation, and boundary violations. Returns a safety score and cryptographically signed attestation. IMPORTANT: The artifact contains NO user content — only computed signals. The interaction text is used for analysis then immediately discarded.
• Deepadata Validate — Validate an artifact against the EDM v0.8.3 schema. Returns validation result with detailed errors if any fields are missing or malformed. Use this before sealing to ensure artifact integrity.
• Deepadata Issue — Seal an artifact into a .ddna envelope with cryptographic proof. Creates an immutable, verifiable record with issuance metadata. The envelope can later be verified for integrity.
• Deepadata Verify — Verify a .ddna envelope's cryptographic integrity and certification level. Returns verification status, signer information, and compliance checks.

Schemas and invoke metadata: Directory API