from parallel import Parallel

client = Parallel()

# Use the output from the ingest step, or provide your own values
ingest = client.beta.findall.ingest(
    objective="Find all AI companies that raised Series A funding in 2024",
)

run = client.beta.findall.create(
    objective=ingest.objective,
    entity_type=ingest.entity_type,
    match_conditions=[mc.model_dump() for mc in ingest.match_conditions],
    generator="base",
    match_limit=10,
)

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

{
  "findall_id": "findall_56ccc4d188fb41a0803a935cf485c774",
  "status": {
    "status": "queued",
    "is_active": true,
    "metrics": {
      "generated_candidates_count": 0,
      "matched_candidates_count": 0
    }
  },
  "generator": "base",
  "metadata": {},
  "created_at": "2025-09-10T21:02:08.626446Z",
  "modified_at": "2025-09-10T21:02:08.627376Z"
}