VISEON Ask

Reviewed 1d ago.

• tools: 6 tools scanned
• metadata: scanned

No findings.

Tools (6)

• get_entity

  Get complete schema.org entity data by URL (its @id), including relationships the graph holds in either direction.

• query_relationships

  Find entities connected to a subject: one row per property value, with object_type 'uri' for links to other entities and 'literal' for values. Optionally filter by predicate.

• find_by_type

  Find all entities of a specific schema.org type (exact type name, for example Service, Person, DefinedTerm).

• search_content

  Substring search across the text of every entity; returns up to 20 entity URLs.

• fuzzy_find_and_traverse

  Find and rank schema.org entities from natural language, tolerating typos and alternative names. Returns bounded entity context with relationship IDs; use get_entity for full detail.

• traverse_path

  Walk the knowledge graph from one entity in a single call. start: an entity @id or a name (resolved like fuzzy_find_and_traverse). path: one entry per hop, each a predicate or a list of predicates; prefix a predicate with ^ to follow it backwards (e.g. ^worksFor finds who works for an organisation). Literal values (dates, names, emails) named in a hop are returned in values. Example, who founded the company Hamza works for and when: start "Hamza Ashraf", path [["worksFor"], ["founder", "foundingDate"]]. Without path, follows every link for maxHops (1-3, default 2) and returns links only. Returns edges [{hop, from, predicate, to, to_name, to_types}], values [{hop, subject, subject_name, predicate, value}] and truncated.