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Waxell
Waxell is an AI agent governance and observability platform that provides runtime policy enforcement, auto-instrumented LLM telemetry, MCP governance, cost management, and durable workflow execution for agents built in any Python framework or third-party agentic tool (Claude Code, Cursor, LangChain, CrewAI, OpenAI Agents SDK, and 200+ more).
Waxell publishes 5 APIs on the APIs.io network, including Cost Management API, Governance API, Prompts API, and 2 more. Tagged areas include AI Agent Governance, Observability, Policy Enforcement, LLM Telemetry, and Cost Management.
The Waxell catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.
Waxell’s developer surface includes authentication, documentation, getting-started guide, developer console, signup flow, pricing, engineering blog, and 23 more developer resources.
6 APIs10 Features6 Use Cases
AI Agent Governance Observability Policy Enforcement LLM Telemetry Cost Management MCP Agent Runtime
On this page
Kin Score
APIs 6
Postman 5
Open Collections 1
Pricing Plans 1
Rate Limits 1
FinOps 1
Features 10
Vocabularies 1
Spectral Rules 2
JSON Schema 4
JSON Structure 2
Examples 4
Security Posture 2
Agentic Access 1
Use Cases 6
Integrations 13
Solutions 3
Resources 30
apis.yml
58 Operational Transparency
Composite quality — 63.3/100 · strong
Contract Quality 19.1 / 25
Developer Ergonomics 10.0 / 20
Commercial Clarity 11.1 / 20
Operational Transparency 7.5 / 13
Agent readiness — 32/100 · agent aware
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Notable capabilities this provider offers.
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JSON-LD contexts and semantic vocabularies used across these APIs.
Spectral governance rulesets for linting and validating these APIs.
Standalone JSON Schema definitions for this provider's data models.
JSON Structure definitions describing this provider's data shapes.
Example request and response payloads for these APIs.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Recommended x-agentic-access execution contracts for AI agents.
What developers build with this provider.
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Packaged solutions this provider offers.
Get Started 4
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
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Build 7
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Access & Security 5
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Operate 2
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Commercial 3
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Company 2
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Other 1
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Source (apis.yml)
aid: waxell
url: https://raw.githubusercontent.com/api-evangelist/waxell/refs/heads/main/apis.yml
name: Waxell
type: Index
accessModel:
pricing: enterprise
onboarding: self-serve
trial: false
try_now: false
public: false
label: Enterprise · Self-serve signup
confidence: high
source:
- plans
- authentication
generated: '2026-07-22'
method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/waxell.png
description: Waxell is an AI agent governance and observability platform that provides runtime policy enforcement, auto-instrumented
LLM telemetry, MCP governance, cost management, and durable workflow execution for agents built in any Python framework
or third-party agentic tool (Claude Code, Cursor, LangChain, CrewAI, OpenAI Agents SDK, and 200+ more).
created: '2026-05-06'
modified: '2026-05-19'
specificationVersion: '0.19'
tags:
- AI Agent Governance
- Observability
- Policy Enforcement
- LLM Telemetry
- Cost Management
- MCP
- Agent Runtime
url-source: https://waxell.ai/
apis:
- aid: waxell:developer-mcp
name: Waxell Developer MCP Server
tags:
- MCP
- AI Agent Governance
- Developer Tools
- Coding Agents
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
baseURL: https://dev-mcp.waxell.dev
humanURL: https://waxell.ai/docs/agents/overview
description: Waxell Developer MCP is a hosted Model Context Protocol server that lets coding agents (Claude Code, Cursor,
Windsurf, VS Code, Claude Desktop) query a Waxell instance in real time. It exposes 15 live tools (agent health, error
investigation, LLM cost tracking, governance policy review, account signup) plus 8 documentation resources at waxell://docs/*.
Connection is SSE; per-client authentication uses Bearer tokens in the Authorization header.
properties:
- type: Documentation
url: https://waxell.ai/docs/agents/overview
- type: APIReference
url: https://dev-mcp.waxell.dev/sse
- type: Authentication
url: https://waxell.ai/docs/agents/overview
- type: GitHubRepository
url: https://gitlab.com/waxell/agentforge
- aid: waxell:waxell-cost-management-api
name: Waxell Cost Management API
description: Model cost catalog and tenant-level overrides
humanURL: https://waxell.ai/docs/observe/api/endpoints
baseURL: https://{tenant}.waxell.dev/api/v1/observe
tags:
- Cost Management
properties:
- type: OpenAPI
url: openapi/waxell-cost-management-api-openapi.yml
- type: Documentation
url: https://waxell.ai/docs
- type: APIReference
url: https://waxell.ai/docs/observe/api/endpoints
- type: GettingStarted
url: https://waxell.ai/docs/observe/quickstart
- type: Authentication
url: https://waxell.ai/docs/observe/api/authentication
- type: SDKs
url: https://pypi.org/project/waxell-observe/
- type: JSONSchema
url: json-schema/waxell-run-schema.json
- type: JSONSchema
url: json-schema/waxell-llm-call-schema.json
- type: JSONSchema
url: json-schema/waxell-policy-decision-schema.json
- type: JSONSchema
url: json-schema/waxell-span-schema.json
- type: JSONStructure
url: json-structure/waxell-run-structure.json
- type: JSONStructure
url: json-structure/waxell-policy-decision-structure.json
- aid: waxell:waxell-governance-api
name: Waxell Governance API
description: Pre-execution policy checks and audit events
humanURL: https://waxell.ai/docs/observe/api/endpoints
baseURL: https://{tenant}.waxell.dev/api/v1/observe
tags:
- Governance
properties:
- type: OpenAPI
url: openapi/waxell-governance-api-openapi.yml
- type: Documentation
url: https://waxell.ai/docs
- type: APIReference
url: https://waxell.ai/docs/observe/api/endpoints
- type: GettingStarted
url: https://waxell.ai/docs/observe/quickstart
- type: Authentication
url: https://waxell.ai/docs/observe/api/authentication
- type: SDKs
url: https://pypi.org/project/waxell-observe/
- type: JSONSchema
url: json-schema/waxell-run-schema.json
- type: JSONSchema
url: json-schema/waxell-llm-call-schema.json
- type: JSONSchema
url: json-schema/waxell-policy-decision-schema.json
- type: JSONSchema
url: json-schema/waxell-span-schema.json
- type: JSONStructure
url: json-structure/waxell-run-structure.json
- type: JSONStructure
url: json-structure/waxell-policy-decision-structure.json
- aid: waxell:waxell-prompts-api
name: Waxell Prompts API
description: Managed prompts retrievable by name and version
humanURL: https://waxell.ai/docs/observe/api/endpoints
baseURL: https://{tenant}.waxell.dev/api/v1/observe
tags:
- Prompts
properties:
- type: OpenAPI
url: openapi/waxell-prompts-api-openapi.yml
- type: Documentation
url: https://waxell.ai/docs
- type: APIReference
url: https://waxell.ai/docs/observe/api/endpoints
- type: GettingStarted
url: https://waxell.ai/docs/observe/quickstart
- type: Authentication
url: https://waxell.ai/docs/observe/api/authentication
- type: SDKs
url: https://pypi.org/project/waxell-observe/
- type: JSONSchema
url: json-schema/waxell-run-schema.json
- type: JSONSchema
url: json-schema/waxell-llm-call-schema.json
- type: JSONSchema
url: json-schema/waxell-policy-decision-schema.json
- type: JSONSchema
url: json-schema/waxell-span-schema.json
- type: JSONStructure
url: json-structure/waxell-run-structure.json
- type: JSONStructure
url: json-structure/waxell-policy-decision-structure.json
- aid: waxell:waxell-runs-api
name: Waxell Runs API
description: Lifecycle endpoints for agent execution runs
humanURL: https://waxell.ai/docs/observe/api/endpoints
baseURL: https://{tenant}.waxell.dev/api/v1/observe
tags:
- Runs
properties:
- type: OpenAPI
url: openapi/waxell-runs-api-openapi.yml
- type: Documentation
url: https://waxell.ai/docs
- type: APIReference
url: https://waxell.ai/docs/observe/api/endpoints
- type: GettingStarted
url: https://waxell.ai/docs/observe/quickstart
- type: Authentication
url: https://waxell.ai/docs/observe/api/authentication
- type: SDKs
url: https://pypi.org/project/waxell-observe/
- type: JSONSchema
url: json-schema/waxell-run-schema.json
- type: JSONSchema
url: json-schema/waxell-llm-call-schema.json
- type: JSONSchema
url: json-schema/waxell-policy-decision-schema.json
- type: JSONSchema
url: json-schema/waxell-span-schema.json
- type: JSONStructure
url: json-structure/waxell-run-structure.json
- type: JSONStructure
url: json-structure/waxell-policy-decision-structure.json
- aid: waxell:waxell-telemetry-api
name: Waxell Telemetry API
description: LLM calls, spans, steps, and quality scores recorded against a run
humanURL: https://waxell.ai/docs/observe/api/endpoints
baseURL: https://{tenant}.waxell.dev/api/v1/observe
tags:
- Telemetry
properties:
- type: OpenAPI
url: openapi/waxell-telemetry-api-openapi.yml
- type: Documentation
url: https://waxell.ai/docs
- type: APIReference
url: https://waxell.ai/docs/observe/api/endpoints
- type: GettingStarted
url: https://waxell.ai/docs/observe/quickstart
- type: Authentication
url: https://waxell.ai/docs/observe/api/authentication
- type: SDKs
url: https://pypi.org/project/waxell-observe/
- type: JSONSchema
url: json-schema/waxell-run-schema.json
- type: JSONSchema
url: json-schema/waxell-llm-call-schema.json
- type: JSONSchema
url: json-schema/waxell-policy-decision-schema.json
- type: JSONSchema
url: json-schema/waxell-span-schema.json
- type: JSONStructure
url: json-structure/waxell-run-structure.json
- type: JSONStructure
url: json-structure/waxell-policy-decision-structure.json
common:
- type: PostmanWorkspace
url: https://www.postman.com/kinlaneapi/waxell/overview
- type: AgenticAccess
url: agentic-access/waxell-agentic-access.yml
- type: DomainSecurity
url: security/waxell-domain-security.yml
- type: Authentication
url: authentication/waxell-authentication.yml
- type: Documentation
url: https://waxell.ai/docs
- type: GettingStarted
url: https://waxell.ai/docs/observe/quickstart
- type: GettingStarted
url: https://waxell.ai/docs/observe/quickstart
- type: SDKs
url: https://waxell.ai/docs/observe/quickstart
- type: Console
url: https://waxell.dev
- type: Signup
url: https://waxell.ai/get-access
- type: Pricing
url: https://waxell.ai/get-access
- type: Plans
url: plans/waxell-plans-pricing.yml
- type: RateLimits
url: rate-limits/waxell-rate-limits.yml
- type: FinOps
url: finops/waxell-finops.yml
- type: StatusPage
url: https://status.waxell.dev
- type: Blog
url: https://waxell.ai/blog
- type: Glossary
url: https://waxell.ai/glossary
- type: Security
url: https://waxell.ai/docs/security
- type: TrustCenter
url: https://app.vanta.com/callsine.com/trust/pg7qc55eh5ge6ejjv7zxksy
- type: Compliance
url: https://waxell.ai/docs/security
- type: LinkedIn
url: https://www.linkedin.com/company/waxell-ai
- type: GitHubRepository
url: https://gitlab.com/waxell/agentforge
- type: SpectralRules
url: rules/waxell-rules.yml
- type: Vocabulary
url: vocabulary/waxell-vocabulary.yml
- type: JSONLD
url: json-ld/waxell-context.jsonld
- type: Examples
url: examples/waxell-start-run-example.json
- type: Examples
url: examples/waxell-record-llm-call-example.json
- type: Examples
url: examples/waxell-policy-check-example.json
- type: Examples
url: examples/waxell-get-prompt-example.json
- type: Features
data:
- name: Auto-Instrumentation
description: Two-line setup auto-instruments 200+ libraries (OpenAI, Anthropic, LangChain, LlamaIndex, CrewAI, LiteLLM,
etc.) without code changes.
- name: Runtime Policy Enforcement
description: 26 policy categories (cost, kill switch, PII, compliance, scope, safety) returning seven decisions (allow,
warn, redact, throttle, block, skip, retry).
- name: MCP Governance
description: Auto-instrumentor, server middleware, and governance proxy for Model Context Protocol traffic with PII scanning
and rug-pull detection.
- name: Cost Management
description: Built-in model pricing for 20+ models, tenant overrides via REST, budget enforcement that warns/throttles/blocks
at thresholds.
- name: Prompt Management
description: Versioned managed prompts retrievable by name and label (e.g. production, staging) directly from the SDK.
- name: Workflow Envelope
description: Durable execution boundary with checkpoint and resume; Redis-backed in production, in-memory for development.
- name: Human-in-the-Loop Approvals
description: Custom handlers route policy blocks to Slack, webhooks, or terminal prompts for human review.
- name: Audit Trail
description: Immutable, timestamped record of all agent actions, decisions, and governance events.
- name: Developer MCP
description: Hosted SSE MCP server (dev-mcp.waxell.dev/sse) with 15 live tools and 8 docs resources for coding agents.
- name: Field-Level Encryption
description: PII fields encrypted at the application layer with AES-256-GCM and AWS KMS (FIPS 140-2 Level 3) before database
storage.
sources:
- https://waxell.ai/
- https://waxell.ai/docs
- https://waxell.ai/docs/security
- https://waxell.ai/compare
updated: '2026-05-06'
- type: UseCases
data:
- name: Govern Third-Party Coding Agents
description: Enforce policies on Claude Code, Cursor, Windsurf, VS Code, and Claude Desktop without modifying their code.
- name: Instrument Self-Built Agents
description: Add full observability to LangChain, CrewAI, OpenAI Agents SDK, or custom Python agents with the @waxell.observe
decorator.
- name: Cost-Capped Agent Deployment
description: Set budgets on token spend per agent, user, or tenant; block runs that exceed configured limits.
- name: PII-Safe MCP Tool Use
description: Scan MCP tool inputs/outputs for PII, credentials, and secrets with warn/block/redact responses.
- name: Durable Long-Running Workflows
description: Use the WorkflowEnvelope to checkpoint multi-step agent workflows so they can resume after interruption.
- name: Compliance-Ready AI Operations
description: Maintain SOC 2 Ready posture with immutable audit trails, encrypted PII, and EU data residency.
sources:
- https://waxell.ai/
- https://waxell.ai/docs
updated: '2026-05-06'
- type: Integrations
data:
- name: OpenAI
description: Auto-instrumented LLM provider; cost and token tracking out of the box.
- name: Anthropic
description: Auto-instrumented LLM provider; supports Claude family models.
- name: LangChain / LangGraph
description: First-class callback handler (WaxellLangChainHandler) for tracing chains and graphs.
- name: CrewAI
description: Auto-instrumented multi-agent framework support.
- name: LlamaIndex
description: Tracing for RAG pipelines built with LlamaIndex.
- name: LiteLLM
description: Unified telemetry across LiteLLM-routed providers.
- name: Claude Code
description: Governance overlay for Anthropic's Claude Code coding agent via the Developer MCP.
- name: Cursor / Windsurf / VS Code
description: Coding-agent governance via the SSE MCP server at dev-mcp.waxell.dev.
- name: OpenAI Agents SDK
description: Auto-instrumentation for OpenAI's Agents SDK runs.
- name: AWS Bedrock / Azure OpenAI / Google Vertex AI
description: Cloud LLM providers covered by Waxell's auto-instrumentation.
- name: Pinecone / Weaviate / Qdrant / Milvus / Chroma
description: Vector database call tracing with retrieval span recording.
- name: Slack / Webhooks
description: Human-in-the-loop approval handlers for policy blocks.
- name: Stripe
description: Listed subprocessor for billing.
sources:
- https://waxell.ai/docs/integrations
updated: '2026-05-06'
- type: Solutions
data:
- name: Connect
description: Govern third-party agents (Claude Code, Cursor) without code changes via the MCP governance proxy.
- name: Observe
description: Instrument self-built agents with auto-instrumentation, policy enforcement, and cost attribution.
- name: Runtime
description: Governed execution environment for high-risk workflows with the durable WorkflowEnvelope.
sources:
- https://waxell.ai/
updated: '2026-05-06'
- type: LlmsText
url: https://waxell.ai/llms.txt
maintainers:
- FN: Kin Lane
email: info@apievangelist.com
url: https://apievangelist.com
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