curl -X POST \
    -H "Authorization: Key YOUR_API_KEY" \
    -H "Content-Type: application/json" \
    -d '
    {
      "query": {
        "ands": [
          {
            "output": {
              "data": {
                "concepts": [
                  {
                    "name": "people"
                  }
                ]
              }
            }
          }
        ]
      }
    }'\
    https://api.clarifai.com/v2/searches

app.inputs.search({ concept: {name: 'people'} }).then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);
 

from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')

# search by public concept
app.inputs.search_by_predicted_concepts(concept='people')

# search by a list of concepts
app.inputs.search_by_predicted_concepts(concepts=['people'])

# search by concept id
app.inputs.search_by_predicted_concepts(concept_id='ai_dP13sXL4')

# search by a list of concept ids
app.inputs.search_by_predicted_concepts(concept_ids=['ai_dP13sXL4'])

client.searchInputs(SearchClause.matchConcept(Concept.forName("people")))
    .getPage(1)
    .executeSync();
 

// First create a search term with a concept you want to search.
ClarifaiConcept *conceptFromGeneralModel = [[ClarifaiConcept alloc] initWithConceptName:@"people"];
ClarifaiSearchTerm *searchTerm = [ClarifaiSearchTerm searchByPredictedConcept:conceptFromGeneralModel];

[app search:@[searchTerm] page:@1 perPage:@20 completion:^(NSArray<ClarifaiSearchResult *> *results, NSError *error) {
  // Print output of first search result.
  NSLog(@"inputID: %@", results[0].inputID);
  NSLog(@"URL: %@", results[0].mediaURL);
  NSLog(@"probability of public concept: %@", results[0].score);
}];