Assistants and copilots
Run approved applications with model, knowledge, tool and governance configurations attached.
POST /v1/applications/{id}/responses
Use APIs and structured interfaces for chat, knowledge retrieval, agents, workflows, models, memory, evaluations and audit traces.
Applications can call a simple assistant endpoint or directly orchestrate knowledge, agents, CFAM, DFAM, tools and verification according to system requirements.
Run approved applications with model, knowledge, tool and governance configurations attached.
POST /v1/applications/{id}/responsesSearch governed collections, apply user permissions and return source-level citations.
POST /v1/knowledge/searchCreate observable tasks with tools, review gates, rollback and workflow-state persistence.
POST /v1/agents/runsRequest structured concept profiles, decision appraisals and verifier reports.
POST /v1/cognition/appraisecurl https://platform.inai.ae/v1/cognition/appraise \
-H "Authorization: Bearer $INGENIOUS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"problem": "Evaluate a private AI procurement strategy",
"knowledge_base": "enterprise-policy",
"dimensions": ["scientific", "ethical", "governance", "economic"],
"verification": "required",
"human_review": "high_risk"
}'Tool permissions, parameters, credentials, network access, output validation and human review remain centrally governed.
Access approved real-time information and structured services.
Extract, compare, classify and transform documents into structured information.
Coordinate communications and operational work through authorised tools.
Read and write approved business data through policy-controlled integrations.
Trigger processes, wait for conditions and recover from failures.
Perform calculations, data analysis and controlled code execution.