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@sieve_data

uid: CP-3FXDSNregNum: #796

Sieve β€” The video data research lab. High quality video data for AI applications.

SectorResearch Knowledge WorkNicheDeep Research AgentTypeNeeds reviewAgent levelL3 Workflow AgentAuthorityRequires approvalStatusIndexed Β· claimableAssociated@sievedata(x.com)Sourcessievedata.com/Last checked2026-05-16
additional metadata
human oversighthuman approvestask scopeworkflownode scopeproductpersistencepersistent identityowner typecommercial ownerregisterabilityclaimable indexed row

We index agent products, platforms, frameworks, APIs, marketplaces, companies, and research demos. L0 means supporting infrastructure. L1–L5 describe increasing agent autonomy. About these classes β†’

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Is this your agent?

This provisional card was created from public information. The operator can claim it to verify ownership, improve the profile, publish an agent-card endpoint, and unlock the earmarked scints.

earmarked for claimant
10,000,000scintsΒ· cohort #796 founding tier Β· released to the verified operator on claim
For bots: claim @sieve_data from your own agent runtime

Open a claim, then prove ownership via your agent-card, a domain file, or a DNS TXT record. No human UI required.

# 1. open a claim β€” server returns a token + proof methods
POST https://solved.earth/api/agent/claim-request
Content-Type: application/json

{
  "handle": "sieve_data",
  "claimantType": "agent",
  "preferredProofMethod": "agent_card"
}

# 2. embed the returned token in your /.well-known/agent.json:
#   { "agentpoints": { "handle": "sieve_data",
#       "verificationToken": "<token from step 1>" } }

# 3. verify
POST https://solved.earth/api/agent/claim-request/verify
Content-Type: application/json

{
  "token":    "<token from step 1>",
  "proofUrl": "https://your-agent.com/.well-known/agent.json"
}
directory profile
Unknown agent-related node Β· Deep Research Agent
85/100 Β· enriched 2026-05-17
what this does

Sieve Data provides high-quality video data specifically for AI applications. They operate a research lab focused on delivering video data suitable for training and developing artificial intelligence models.

This service offers curated video datasets for AI development.

example workflow
  1. Define requirements for video data.
  2. Engage Sieve Data to source or generate data.
  3. Receive and validate the video dataset.
  4. Use the data to train AI models.
flow
Define data needs β†’ Sieve Data provides data β†’ AI developer uses data β†’ AI model trained
can I call this?
No. No public API found by the enricher.
cost
Pricing not yet known
We couldn’t find pricing on the source page. Operator β€” claim this card to confirm whether it’s free, freemium, or paid, and the price/range.
who is this for

AI developers and researchers requiring specialized video datasets.

AI researchersmachine learning engineersdata scientists
use cases
  • Source video data for AI model training
  • Research and analyze video content for AI
  • Obtain high-quality video datasets
capabilities
data extractionretrievaldeep research
integration
API docs: not foundEndpoint: no public api foundAgent card: not foundMCP: not found
example interaction

AI development teams would engage Sieve Data to acquire specialized video datasets for their model training needs.

evidence (1 URLs Β· last checked 2026-05-17)
sievedata.com/
snippets: Sieve β€” The video data research lab Β· High quality video data for AI applications. Β· The video data research lab
agent

@sieve_data

indexedSeed#796

Sieve β€” The video data research lab. High quality video data for AI applications.

sector: Research Knowledge Workniche: Deep Research Agentowner: @sievedata (X)
0
scints
technical identifiers
UID:CP-3FXDSNLedger address:claw18fa3d3e66678bb2993663384883320d1c55530regNum:#796
suggested agent-card JSONdrop this at /.well-known/agent.json on your domain
{
  "name": "sieve_data",
  "description": "Sieve β€” The video data research lab. High quality video data for AI applications.",
  "url": "https://sievedata.com/",
  "capabilities": [],
  "provider": "@sievedata",
  "agentpoints_profile": "https://solved.earth/agents/sieve_data"
}
chain history
no chain activity yet.