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for agencies

Client-ready creator proposals.
Built faster.

CrowdCore helps agencies search public discovery and private rosters, vet creator content and comments, map proven formats to client briefs, and export evidence-backed shortlists with primary picks, test angles, backups, and risks.

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Search public and private pools

Search public creators, private rosters, CRM lists, saved collaborators, CSVs, and past proposals from one workflow.

Apply client-specific vetting

Check each creator against the client’s audience, category, brand-safety rules, format needs, tone, and campaign risk.

Export proposal-ready shortlists

Return ranked creators with evidence, proven format, recommendation tier, risk notes, backup options, and next action.

Use Cases

Creator recommendations your client can understand.

Multi-client search

Public discovery

Private roster import

Past proposal reuse

Multi-client search

Public discovery

Private roster import

Past proposal reuse

Vetting logic

Audience evidence

Comment quality

Format match

Brand and risk notes

Vetting logic

Audience evidence

Comment quality

Format match

Brand and risk notes

Proposal output

Recommendation tiers

Primary and backup creators

Content angles

Client-ready rationale

Proposal output

Recommendation tiers

Primary and backup creators

Content angles

Client-ready rationale

WHY AGENCIES USE IT

Make every proposal easier to defend.

CrowdCore gives agency teams a repeatable way to search, vet, explain, and reuse creator recommendations across clients.

Senior logic, reusable

Turn client criteria and past decisions into repeatable vetting workflows.

Fewer manual review hours

Agents inspect videos, captions, comments, risks, and format fit before the team reviews every profile.

Public + private together

Use fresh discovery alongside rosters, saved creators, CRM lists, and previous proposals.

Client-ready evidence

Give clients reasons, risks, formats, and backups instead of a raw handle list.

Senior logic, reusable

Turn client criteria and past decisions into repeatable vetting workflows.

Fewer manual review hours

Agents inspect videos, captions, comments, risks, and format fit before the team reviews every profile.

Public + private together

Use fresh discovery alongside rosters, saved creators, CRM lists, and previous proposals.

Client-ready evidence

Give clients reasons, risks, formats, and backups instead of a raw handle list.

Public + private together

Use fresh discovery alongside rosters, saved creators, CRM lists, and previous proposals.

Client-ready evidence

Give clients reasons, risks, formats, and backups instead of a raw handle list.

Python

Node

from twelvelabs import Crowdcore
import os

client = Crowdcore("<YOUR_API_KEY>")

# Create new Index
index = client.index.create(        
     name="My First Index",
     engines=[
       {                
         "name": "marengo2.7",
         "options": ["visual", "audio"],
       },
     ],
  )
# Create new Task on Index (Upload the video)
video_path = os.path.join(os.path.dirname(__file__), "<YOUR_FILE_PATH>")
task = client.task.create(index_id=index.id, file=video_path, language="en")

# Wait for indexing to finish
task.wait_for_done()

# Search from your index
query = "An artist climbing up the ladder that he painted."
result = client.search.query(index.id, query, ["visual", "audio"])
‍print(result)

Python

Node

from twelvelabs import Crowdcore
import os

client = Crowdcore("<YOUR_API_KEY>")

# Create new Index
index = client.index.create(        
     name="My First Index",
     engines=[
       {                
         "name": "marengo2.7",
         "options": ["visual", "audio"],
       },
     ],
  )
# Create new Task on Index (Upload the video)
video_path = os.path.join(os.path.dirname(__file__), "<YOUR_FILE_PATH>")
task = client.task.create(index_id=index.id, file=video_path, language="en")

# Wait for indexing to finish
task.wait_for_done()

# Search from your index
query = "An artist climbing up the ladder that he painted."
result = client.search.query(index.id, query, ["visual", "audio"])
‍print(result)

Python

Node

from twelvelabs import Crowdcore
import os

client = Crowdcore("<YOUR_API_KEY>")

# Create new Index
index = client.index.create(        
     name="My First Index",
     engines=[
       {                
         "name": "marengo2.7",
         "options": ["visual", "audio"],
       },
     ],
  )
# Create new Task on Index (Upload the video)
video_path = os.path.join(os.path.dirname(__file__), "<YOUR_FILE_PATH>")
task = client.task.create(index_id=index.id, file=video_path, language="en")

# Wait for indexing to finish
task.wait_for_done()

# Search from your index
query = "An artist climbing up the ladder that he painted."
result = client.search.query(index.id, query, ["visual", "audio"])
‍print(result)

From messy research to a proposal your client can approve.

CrowdCore turns broad search and deep vetting into recommendation tiers, creator evidence, format angles, risk notes, and backup options that agency teams can reuse across campaigns.

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