Cekura
Cekura provides automated quality assurance for voice AI and chat AI agents. Their platform lets developers test, monitor, and continuously improve voice agents by simulating real production calls, identifying issues, and suggesting fixes. Features include benchmark comparisons across leading platforms, detailed metric labs, observability tracing, and integrations with partners like LiveKit, Cisco, and ElevenLabs. Cekura aims to accelerate agent deployment, ensuring reliability and performance before going live.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Cekura the way a machine reads it — 32 machine-readable artifacts across 1 API, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Cekura scores 58.7/100 (strong), with a separate agent-readiness read of 50/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
Kin Score
How this is scored →scored 2026-10-31 · rubric v0.25.0
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How we profile Cekura
Each block below is one kind of artifact we hold for Cekura. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 13
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Cekura AI Agents API
The AI Agents API from Cekura — 1 operation(s) for ai agents.
Cekura Call Logs API
The Call Logs API from Cekura — 2 operation(s) for call logs.
Cekura Dashboards API
The dashboards API from Cekura — 9 operation(s) for dashboards.
Cekura Evaluators API
The Evaluators API from Cekura — 34 operation(s) for evaluators.
Cekura Metrics API
The Metrics API from Cekura — 2 operation(s) for metrics.
Cekura Observability API
The Observability API from Cekura — 47 operation(s) for observability.
Cekura Results API
The Results API from Cekura — 17 operation(s) for results.
Cekura Runs API
The Runs API from Cekura — 7 operation(s) for runs.
Cekura Scenarios API
The Scenarios API from Cekura — 6 operation(s) for scenarios.
Cekura Schedules API
The Schedules API from Cekura — 2 operation(s) for schedules.
Cekura Slack API
The slack API from Cekura — 1 operation(s) for slack.
Cekura Test Framework API
The test_framework API from Cekura — 128 operation(s) for test_framework.
Cekura User API
The user API from Cekura — 8 operation(s) for user.
Scroll within the panel for all 13 ·
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
Agent Skills 5
An agent skill packages the how-to for driving these APIs from an assistant — the prompts, the sequence, the guardrails — so the knowledge to use the API travels with it.
Packaged agent skills for driving this provider's APIs from an AI assistant.
cekura-ai-call-logs-mark-metric-vote
AGENT SKILLcekura-ai-create-and-update-scenario
AGENT SKILLcekura-ai-queue-failure-analysis
AGENT SKILLcekura-ai-run-chat
AGENT SKILLPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.
Published pricing tiers and plan structures.
Event Specifications 1
Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Cekura Ai Webhooks
ASYNCAPISemantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Cekura Ai Context
JSON-LDSpectral Rules 1
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Cekura API Rules
SPECTRALJSON Schema 6
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
Organization
JSON SCHEMAPatchedProject
JSON SCHEMAProject
JSON SCHEMAResultDetailV2
JSON SCHEMASchemaCombinedResultsReport
JSON SCHEMASchemaScenario
JSON SCHEMASecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Cekura — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 7
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 7 ·
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 3
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/cekura-ai · machine-readable index on apis.io
This is an independent, third-party profile of Cekura, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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