Coval
Coval is the deployment-readiness platform for voice and chat AI agents. Teams simulate thousands of realistic conversation scenarios before launch, monitor real production calls, and improve reliability with metrics and human review. Coval supports inbound/outbound voice, standard chat, chat over WebSocket, chat A2A (JSON-RPC), voice-to-voice models (OpenAI Realtime, Gemini Live), SMS, Pipecat, and LiveKit agents. Its v1 REST API, TypeScript and Python SDKs, Homebrew CLI, and hosted MCP server let developers connect agents, define personas and test sets, launch simulation runs, ingest production conversations and OpenTelemetry traces, define deterministic/statistical/ML/LLM-judge metrics, and route critical calls to human reviewers. Coval is backed by General Catalyst and is SOC 2 Type II, GDPR, and HIPAA compliant.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Coval the way a machine reads it — 31 machine-readable artifacts across 25 APIs, 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 — Coval scores 62.1/100 (strong), with a separate agent-readiness read of 71/100 (agent native). 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.
How we profile Coval
Each block below is one kind of artifact we hold for Coval. 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 25
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.
Coval Agents API
CRUD operations for AI agent configurations
Coval API Keys API
Manage API keys for your organization
Coval Audio API
Upload audio for evaluation and access conversation audio files
Coval Conversations API
Submit and manage real-world conversation monitoring evaluations
Coval Dashboards API
Dashboard CRUD operations
Coval Metric Outputs API
Retrieve metric computation results for simulations
Coval Metrics API
CRUD operations for custom evaluation metrics
Coval Monitor Events API
Monitor evaluation event history
Coval Monitors API
CRUD operations for monitor definitions
Coval Mutations API
CRUD operations for agent configuration mutations
Coval Organization Conversations Config API
Organization-level configuration for conversation metrics — the default and conditional metrics run on conversations.
Coval Personas API
Persona CRUD operations
Coval Reports API
CRUD operations for saved multi-run reports
Coval Review Annotations API
Annotation CRUD operations
Coval Review Projects API
Project CRUD operations
Coval Run Templates API
CRUD operations for reusable run configurations
Coval Runs API
Launch and manage simulation runs
Coval Scheduled Runs API
CRUD operations for scheduled evaluations
Coval Simulations API
Launch and manage individual simulation executions
Coval Tags API
CRUD operations for resource tags
Coval Test Cases API
Operations for managing test cases
Coval Test Sets API
Operations for managing test sets
Coval Traces API
OTLP trace ingestion for simulations and monitoring conversations.
Coval Webhooks API
CRUD operations for event webhooks
Coval Widgets API
Dashboard widget CRUD operations
Scroll within the panel for all 25 ·
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.
coval-mcp.yml
MCP SERVEREvent 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.
Coval Webhooks
ASYNCAPISecurity Posture 3
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 Coval — 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 4
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 6
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
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