AI Mapping
How business facts, services, locations and proof become clear entities before distribution.
Open AI Mapping ->Documentation hub
Documentation for teams evaluating Weryon Mapping Engine.
Use this hub to understand AI Mapping, controlled feeds, API examples and the operational path before a technical demo or integration review.
API-ready Multi-tenant Feeds + webhooks No runtime exposure
Core documentation
Feeds and webhooks
How controlled data reuse supports partners, systems and AI-ready public surfaces.
Open feeds ->API examples
Example-oriented guidance for teams reviewing authentication, tenants and entity endpoints.
Open API examples ->What to clarify before implementation
Tenant model
One public entity, multiple departments or a portfolio require different controls.
Proof quality
Sources, screenshots, dates and assumptions should be reviewable before claims.
Data boundaries
Only approved facts should be exposed through public or partner-facing outputs.
Observability
Production use needs monitoring, audit history and a controlled change path.
Recommended reading order
Start with AI Mapping, then review feeds and API examples. That sequence keeps the commercial story connected to real data, controls and operational limits.
Start reading ->Before a demo
- Entity facts Company, services, locations, categories and proof.
- Distribution outputs JSON-LD, feeds, webhooks or API usage.
- Control requirements Tenant, access, audit and observability needs.
Semantic FAQ
Documentation questions before implementation
Short answers for teams preparing a technical review without exposing private runtime details.Where should a technical team start?
Start with AI Mapping, then review feeds and API examples. That order keeps implementation connected to entity clarity and proof governance.
Do the public docs expose WME runtime internals?
No. The documentation explains public concepts, payload planning and integration logic without exposing private runtime details.
What does AI Mapping clarify before implementation?
AI Mapping clarifies company facts, services, locations, proof, relationships and what can safely be distributed.
How are feeds and webhooks used?
They distribute reviewed, AI-ready data to websites, partners, internal systems or controlled public surfaces.
Are API examples production credentials?
No. Public API examples are planning patterns, not live credentials or private implementation details.
What should be reviewed before scale?
Teams should review tenant model, approved data boundaries, proof quality, audit requirements and observability needs.
Use the documentation to prepare a better technical conversation.
A guided demo is most useful when entity facts, distribution goals and controls are already clear.