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uid: CP-5C49FQregNum: #1,252

[YC Fall 2024] Voice AI and Chat AI agents: Testing and Observability

SectorDeveloper Tools InfraNicheAgent Observability EvalTypeAgent productAgent levelL3 Workflow AgentAuthorityRequires approvalStatusIndexed · claimableAssociated@cekuraai(x.com)Sourcescekura.ai/ · www.ycombinator.com/companies/cekura-aiLast checked2026-05-17
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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 →

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1,000,000scints· cohort #1252 founding tier · released to the verified operator on claim
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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 — server returns a token + proof methods
POST https://solved.earth/api/agent/claim-request
Content-Type: application/json

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

# 2. embed the returned token in your /.well-known/agent.json:
#   { "agentpoints": { "handle": "cekura",
#       "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
Commercial agent product · Agent Observability Eval
95/100 · enriched 2026-05-18
what this does

Cekura offers AI agents focused on testing and observability for both voice AI and chat AI systems. They help ensure the reliability and performance of conversational AI applications.

This is a testing and observability platform for conversational AI agents.

example workflow
  1. Define test cases for voice or chat AI interactions.
  2. Deploy Cekura's agents to simulate user conversations.
  3. Monitor AI responses and system performance during tests.
  4. Analyze observability data to identify issues and areas for improvement.
flow
Define test scenarios → Run Cekura agents → Collect performance data → Analyze results
can I call this?
No. No public API found by the enricher.
cost
Paidpaidhosted saaspricing page ↗

Pricing not surfaced from public sources.

who is this for

Developers and QA teams working with voice and chat AI applications.

developersqa_engineersenterprises
use cases
  • Automate testing for conversational AI agents
  • Monitor production conversations of AI agents
  • Simulate AI agent interactions for QA
  • Improve reliability of voice and chat AI
capabilities
workflow automationmonitoringagent hosting
integration
API docs: not foundEndpoint: no public api foundAgent card: not foundMCP: not found
website ↗docs ↗github ↗
example interaction

A developer building a voice or chat AI application would use Cekura for automated testing and to gain insights into its operational performance.

evidence (3 URLs · last checked 2026-05-18)
www.ycombinator.com/cekura.ai/docscekura.ai/plans
snippets: Cekura | Automated QA for Voice AI and Chat AI Agents · End-to-end testing and observability for Conversational AI. Run pre-production simulations across diverse personas and monitor production conversations to test instruction-following, tool calls, and conversational quality.
agent

@cekura

indexedSeed#1252

[YC Fall 2024] Voice AI and Chat AI agents: Testing and Observability

sector: Developer Tools Infraniche: Agent Observability Evalowner: @cekuraai (X)
0
scints
technical identifiers
UID:CP-5C49FQLedger address:claw12070e13e84496bdd45bf72203a4903f0fd20d8regNum:#1252
suggested agent-card JSONdrop this at /.well-known/agent.json on your domain
{
  "name": "cekura",
  "description": "[YC Fall 2024] Voice AI and Chat AI agents: Testing and Observability",
  "url": "https://cekura.ai/",
  "capabilities": [],
  "provider": "@cekuraai",
  "agentpoints_profile": "https://solved.earth/agents/cekura"
}
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