Tools/knowledge

Knowledge & Facts

Active

Your agent answers facts from stale training data; this returns current, sourced answers from Wikipedia and Wikidata.

4 tools

Encyclopedic facts and structured knowledge: Wikipedia article summaries and full-text search, plus Wikidata entity search and lookup for machine-readable facts (identifiers, dates, relationships). Wikipedia content is available under CC BY-SA; Wikidata is CC0.

Knowledge & Referenceknowledgefactsencyclopediawikipediawikidata

Tools (4)

▶wikipedia_summary

Get a concise summary, thumbnail, and link for a Wikipedia article by title.

0.1 credits/call ($0.0001) · 0.1 credit per call

Example prompts

“Give me a summary of the Eiffel Tower”
“What does Wikipedia say about photosynthesis?”
“Summarize the article on Ada Lovelace”

Parameters

titlestringrequired

Exact English Wikipedia article title, e.g. "Albert Einstein".

API Usage

curl -X POST "https://skill.askfaro.com/skills/knowledge/run" \
  -H "Authorization: Bearer faro_<your_key>" \
  -H "Content-Type: application/json" \
  -d '{
  "intent": {
    "prompt": "Give me a summary of the Eiffel Tower"
  }
}'

CLI Usage

askfaro describe knowledge/wikipedia_summary

Install pip install askfaro-cli, then askfaro auth login.

▶wikipedia_search

Full-text search across Wikipedia articles, returning titles and snippets.

0.1 credits/call ($0.0001) · 0.1 credit per call

Example prompts

“Search Wikipedia for articles about black holes”
“Find Wikipedia pages mentioning the Apollo program”
“What Wikipedia articles discuss machine learning?”

Parameters

srlimitintegeroptionaldefault: 10

Number of results to return (1-50).

sroffsetintegeroptionaldefault: 0

Result offset for pagination.

srsearchstringrequired

Search query text.

API Usage

curl -X POST "https://skill.askfaro.com/skills/knowledge/run" \
  -H "Authorization: Bearer faro_<your_key>" \
  -H "Content-Type: application/json" \
  -d '{
  "intent": {
    "prompt": "Search Wikipedia for articles about black holes"
  }
}'

CLI Usage

askfaro describe knowledge/wikipedia_search

Install pip install askfaro-cli, then askfaro auth login.

▶wikidata_get_entities

Fetch full Wikidata entities by ID, including labels, descriptions, and claims.

0.1 credits/call ($0.0001) · 0.1 credit per call

Example prompts

“Get the Wikidata facts for Q42”
“What are the claims on Wikidata entity Q90?”
“Fetch labels and descriptions for Q5 and Q42”

Parameters

idsstringrequired

One or more entity IDs separated by "|", max 50 (e.g. "Q42|Q1").

propsstringoptional

Pipe-separated properties to return (e.g. "labels|descriptions|claims"). Omit for defaults.

languagesstringoptional

Pipe-separated language codes to limit labels/descriptions (e.g. "en|fr").

API Usage

curl -X POST "https://skill.askfaro.com/skills/knowledge/run" \
  -H "Authorization: Bearer faro_<your_key>" \
  -H "Content-Type: application/json" \
  -d '{
  "intent": {
    "prompt": "Get the Wikidata facts for Q42"
  }
}'

CLI Usage

askfaro describe knowledge/wikidata_get_entities

Install pip install askfaro-cli, then askfaro auth login.

▶wikidata_search

Search Wikidata for entities (items or properties) matching a label.

0.1 credits/call ($0.0001) · 0.1 credit per call

Example prompts

“Find the Wikidata entity for Marie Curie”
“What is the Wikidata Q-id for Tokyo?”
“Search Wikidata for the property "date of birth"”

Parameters

typestringoptionaldefault: "item"

Entity type to search for.

limitintegeroptionaldefault: 7

Number of results (1-50).

searchstringrequired

Text to search for.

languagestringrequireddefault: "en"

Language code for the search and returned labels (e.g. "en").

API Usage

curl -X POST "https://skill.askfaro.com/skills/knowledge/run" \
  -H "Authorization: Bearer faro_<your_key>" \
  -H "Content-Type: application/json" \
  -d '{
  "intent": {
    "prompt": "Find the Wikidata entity for Marie Curie"
  }
}'

CLI Usage

askfaro describe knowledge/wikidata_search

Install pip install askfaro-cli, then askfaro auth login.