Skip to main content
POST
/
v1beta
/
findall
/
ingest
Python
from parallel import Parallel

client = Parallel(api_key="API Key")

objective = "Find all portfolio companies of Khosla Ventures founded after 2020 and CEO names"

ingest = client.beta.findall.ingest(
    objective=objective,
)

print(ingest.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"
    },
    {
      "name": "raised_series_a_2024_check",
      "description": "Company must have raised Series A funding in 2024"
    }
  ],
  "generator": "core"
}

Authorizations

x-api-key
string
header
required

Headers

parallel-beta
string | null

Body

application/json

Input model for FindAll ingest.

objective
string
required

Natural language objective to create a FindAll run spec.

Example:

"Find all AI companies that raised Series A funding in 2024"

Response

Successful Response

Response model for FindAll ingest.

objective
string
required

Natural language objective of the FindAll run.

Example:

"Find all AI companies that raised Series A funding in 2024"

entity_type
string
required

Type of the entity for the FindAll run.

match_conditions
MatchCondition · object[]
required

List of match conditions for the FindAll run.

enrichments
FindAllEnrichInput · object[] | null

List of enrichment inputs for the FindAll run.

generator
enum<string>
default:core

The generator of the FindAll run.

Available options:
base,
core,
pro,
preview
match_limit
integer | null

Max number of candidates to evaluate