Find connection paths between any two entities across the corpus. Retrieve the specific documents where two entities co-occur.
Read Documents
Retrieve full document content, structured data (CSV, Parquet, JSON as clean arrays), and file metadata.
Upload & Process
Upload new document sets through an automated ETL pipeline. Executable Python scripts handle complex workflows like bulk ingestion.
Monitor Processing
Real-time pipeline status with per-phase progress and per-endpoint readiness indicators.
What Makes It Different
Self-Teaching
The agent reads the full developer guide from the API before operating. No prompt engineering, no hardcoded instructions. The platform teaches the agent how to use it.
No other tool in agent registries offers this.
Processing-Aware Responses
Every API response includes corpus readiness signals. When data is still being processed, the agent knows — and tells the user instead of hallucinating conclusions from incomplete data.
Anti-hallucination at the infrastructure level.
Delegated User Identity
The agent inherits the human user's full identity — organization membership, investigation access, policy evaluation. Every action is traceable to a specific authenticated user.
Enterprise audit trail built in.
Available on ClawHub
Two skills on ClawHub, the public skill registry for OpenClaw agents. Same platform, two positioning lenses.
Investigative
Ingestigate
Investigative intelligence for AI agents
For investigators, compliance teams, forensic accountants, and anyone building agents that need to search evidence, extract entities, and trace relationships across mixed-format documents.
Search, extract, connect, and verify across evidence
Document ETL and entity relationship engine for AI agents
For agent builders, knowledge automation teams, ops/research teams, and anyone who needs to give an AI agent access to a document corpus without burning tokens on raw parsing.