from parallel import Parallel

client = Parallel(api_key="API Key")

class CompanyEnrichment(BaseModel):
    ceo_name: str = Field(
        description="Name of the CEO"
    )
    founding_year: str = Field(
        description="Year the company was founded"
    )

run = client.beta.findall.enrich(
    findall_id="findall_40e0ab8c10754be0b7a16477abb38a2f",
    processor="core",
    output_schema=CompanyEnrichment
)

print(f"FindAll run {run.findall_id} enriched: {run.model_dump_json(indent=2)}")

{
  "objective": "Find all AI companies that raised Series A funding in 2024",
  "entity_type": "companies",
  "match_conditions": [
    {
      "name": "developing_ai_products_check",
      "description": "Company must be developing artificial intelligence (AI) products"
    }
  ],
  "enrichments": [
    {
      "processor": "core",
      "output_schema": {
        "json_schema": {
          "type": "object",
          "properties": {
            "ceo_name": {
              "type": "string",
              "description": "Name of the current CEO of the company. If the CEO is not publicly known, provide the name of the highest-ranking executive or founder. If no information is available, return null."
            }
          }
        },
        "type": "json"
      }
    }
  ],
  "generator": "core",
  "match_limit": 50
}