Python
from parallel import Parallel
client = Parallel()
response = client.beta.findall.entity_search(
entity_type="companies",
objective="AI startups that raised Series A in 2024",
match_limit=100,
)
for entity in response.entities:
print(f"{entity.name}: {entity.url}")import Parallel from "parallel-web";
const client = new Parallel();
const response = await client.beta.findall.entity_search({
entity_type: "companies",
objective: "AI startups that raised Series A in 2024",
match_limit: 100,
});
for (const entity of response.entities) {
console.log(`${entity.name}: ${entity.url}`);
}HttpResponse<String> response = Unirest.post("https://api.parallel.ai/v1beta/findall/entity-search")
.header("x-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"objective\": \"<string>\"\n}")
.asString();curl --request POST \
--url https://api.parallel.ai/v1beta/findall/entity-search \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--data '
{
"objective": "<string>"
}
'{
"entity_set_id": "<string>",
"entities": [
{
"name": "<string>",
"url": "<string>",
"description": "<string>"
}
]
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>"
}
]
}FindAll
Fast Entity Search
Return ranked entities matching a natural language objective.
This endpoint performs a best-effort search optimized for low latency. To keep responses fast, it returns a fixed set of attributes and supports queries of limited complexity.
For comprehensive match evaluation and enrichment, use the FindAll API.
POST
/
v1beta
/
findall
/
entity-search
Python
from parallel import Parallel
client = Parallel()
response = client.beta.findall.entity_search(
entity_type="companies",
objective="AI startups that raised Series A in 2024",
match_limit=100,
)
for entity in response.entities:
print(f"{entity.name}: {entity.url}")import Parallel from "parallel-web";
const client = new Parallel();
const response = await client.beta.findall.entity_search({
entity_type: "companies",
objective: "AI startups that raised Series A in 2024",
match_limit: 100,
});
for (const entity of response.entities) {
console.log(`${entity.name}: ${entity.url}`);
}HttpResponse<String> response = Unirest.post("https://api.parallel.ai/v1beta/findall/entity-search")
.header("x-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"objective\": \"<string>\"\n}")
.asString();curl --request POST \
--url https://api.parallel.ai/v1beta/findall/entity-search \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--data '
{
"objective": "<string>"
}
'{
"entity_set_id": "<string>",
"entities": [
{
"name": "<string>",
"url": "<string>",
"description": "<string>"
}
]
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>"
}
]
}Authorizations
Body
application/json
Type of entity to search for.
Available options:
people, companies Natural language description of target entities.
Maximum number of entities to return. Must be between 5 and 1000 (inclusive). May return fewer results. Defaults to 100.
Required range:
5 <= x <= 1000