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.
Coval publishes 25 APIs on the APIs.io network, including Agents API, API Keys API, Audio API, and 22 more. Tagged areas include Company, AI Agents, Voice AI, Testing, and Evaluation.
The Coval catalog on APIs.io includes 1 event-driven AsyncAPI specification.
Coval’s developer surface includes documentation, API reference, getting-started guide, engineering blog, pricing, signup flow, support, and 24 more developer resources.
Kin Score
APIs 25
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 for all 25
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
coval-mcp.yml
MCP SERVEREvent Specifications 1
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.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
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