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 6 API contracts indexed on the APIs.io network, including Cost Management API, Governance API, Prompts API, and 3 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 26 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

52.6/100 developing ▬ flat Agent 20/100 agent aware Front door AI 6/6 dominant Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessFreeSelf serve⚡ Free to try

1 published contract 10 Features 6 Use Cases

AI Agent GovernanceObservability Policy EnforcementLLM TelemetryCost Management MCP Agent Runtime

What this lets a business do 2

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

Agent Infrastructure & Agentic Commerce

AE-100

RunsTelemetry

POST /api/v1/observe/runs/{run_id}/llm-calls/ POST /api/v1/observe/runs/{run_id}/spans/ POST /api/v1/observe/runs/{run_id}/scores/ POST /api/v1/observe/runs/start/

Information & Data Management

BC-610

Governance

POST /api/v1/observe/policy-check/

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 52.6/100 · developing

Contract Quality 12.0 / 19

Developer Ergonomics 8.7 / 15

Access Clarity 7.0 / 15

Operational Transparency 3.5 / 10

Contract Governance 2.5 / 9

Discoverability 5.5 / 8

Regulatory Posture 3.2 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 20/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 0 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document Ask about this →
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented) Ask about this →

9 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Access Clarity scores 46.8 — up to +10.6 composite points Ask about this →
Contract Quality scores 64.1 — up to +9.0 composite points Ask about this →
Contract Governance scores 27.3 — up to +8.7 composite points Ask about this →

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/waxell/apis.yml: open an issue on github.com/api-evangelist/waxell to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

OPEN COLLECTION

Waxell Observe Cost Management Telemetry API

OPEN COLLECTION

Waxell API pricing

Prices published by Waxell, read 2026-10-28 from app.waxell.dev/signup.

Plan	Price
Free Forever Plan	FREE FOREVER PLAN Includes: Observe, Runtime, Connect, MCP Gateway, Endpoints, Identity & Team Workspaces

Plan details, limits and sources →

Rate limits

Observe API requests (per API key): see /docs/observe/api/rate-limits (gated) varies
Policy check throttling: governed by configured Rate Limit / Cost Management policies varies
Runtime cost-budget throttle: configurable budget, raises PolicyViolationError when exceeded varies

Compiled by API Evangelist, not yet checked against Waxell's documentation. Rate-limit details →

Pricing Plans 1

Published pricing tiers and plan structures.

Waxell Plans Pricing

1 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Waxell Rate Limits

3 limits

RATE LIMITS

Compliance 1

Attestations the provider states (SOC 2, ISO 27001 and others), quoted from its own trust page. APIs.io verifies none of them.

Waxell

3 quoted statements, read from Waxell's own page on 2026-11-10.

COMPLIANCE

FinOps 1

Cost, billing, and metering signals for API financial operations.

Waxell Finops

FINOPS

Features 10

Notable capabilities this provider offers.

Auto-Instrumentation

Two-line setup auto-instruments 200+ libraries (OpenAI, Anthropic, LangChain, LlamaIndex, CrewAI, LiteLLM, etc.) without code changes.

Runtime Policy Enforcement

26 policy categories (cost, kill switch, PII, compliance, scope, safety) returning seven decisions (allow, warn, redact, throttle, block, skip, retry).

MCP Governance

Auto-instrumentor, server middleware, and governance proxy for Model Context Protocol traffic with PII scanning and rug-pull detection.

Cost Management

Built-in model pricing for 20+ models, tenant overrides via REST, budget enforcement that warns/throttles/blocks at thresholds.

Prompt Management

Versioned managed prompts retrievable by name and label (e.g. production, staging) directly from the SDK.

Workflow Envelope

Durable execution boundary with checkpoint and resume; Redis-backed in production, in-memory for development.

Human-in-the-Loop Approvals

Custom handlers route policy blocks to Slack, webhooks, or terminal prompts for human review.

Audit Trail

Immutable, timestamped record of all agent actions, decisions, and governance events.

Developer MCP

Hosted SSE MCP server (dev-mcp.waxell.dev/sse) with 15 live tools and 8 docs resources for coding agents.

Field-Level Encryption

PII fields encrypted at the application layer with AES-256-GCM and AWS KMS (FIPS 140-2 Level 3) before database storage.

Scroll for all 10

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Waxell Context

26 classes · 6 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

Waxell — jsonschema rules

5 rules · 4 warn-severity 1 info-severity

SPECTRAL

Waxell API Rules

14 rules · 5 error-severity 9 warn-severity

SPECTRAL

JSON Schema 4

Standalone JSON Schema definitions for this provider's data models.

Waxell LLM Call

11 properties

JSON SCHEMA

Waxell Policy Decision

Waxell Record Llm Call Example

2 fields

EXAMPLE

Waxell Start Run Example

2 fields

EXAMPLE

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Waxell Authentication

apiKey/http · 2 schemes

SECURITY

Waxell Domain Security

TLSv1.3 · HSTS

SECURITY

Agentic Access (API Evangelist recommendations) 1

Recommended x-agentic-access execution contracts for AI agents.

Waxell Agentic Access

12 operations · 10 acting · 2 human-in-the-loop

12 operations · 10 acting

AGENTIC

Use Cases 6

What developers build with this provider.

Govern Third-Party Coding Agents

Enforce policies on Claude Code, Cursor, Windsurf, VS Code, and Claude Desktop without modifying their code.

Instrument Self-Built Agents

Add full observability to LangChain, CrewAI, OpenAI Agents SDK, or custom Python agents with the @waxell.observe decorator.

Cost-Capped Agent Deployment

Set budgets on token spend per agent, user, or tenant; block runs that exceed configured limits.

PII-Safe MCP Tool Use

Scan MCP tool inputs/outputs for PII, credentials, and secrets with warn/block/redact responses.

Durable Long-Running Workflows

Use the WorkflowEnvelope to checkpoint multi-step agent workflows so they can resume after interruption.

Compliance-Ready AI Operations

Maintain SOC 2 Ready posture with immutable audit trails, encrypted PII, and EU data residency.

Integrations 13

Pre-built integrations with other platforms and tools.

OpenAI

Auto-instrumented LLM provider; cost and token tracking out of the box.

Anthropic

Auto-instrumented LLM provider; supports Claude family models.

LangChain / LangGraph

First-class callback handler (WaxellLangChainHandler) for tracing chains and graphs.

CrewAI

Auto-instrumented multi-agent framework support.

LlamaIndex

Tracing for RAG pipelines built with LlamaIndex.

LiteLLM

Unified telemetry across LiteLLM-routed providers.

Claude Code

Governance overlay for Anthropic's Claude Code coding agent via the Developer MCP.

Cursor / Windsurf / VS Code

Coding-agent governance via the SSE MCP server at dev-mcp.waxell.dev.

OpenAI Agents SDK

Auto-instrumentation for OpenAI's Agents SDK runs.

AWS Bedrock / Azure OpenAI / Google Vertex AI

Cloud LLM providers covered by Waxell's auto-instrumentation.

Pinecone / Weaviate / Qdrant / Milvus / Chroma

Vector database call tracing with retrieval span recording.

Slack / Webhooks

Human-in-the-loop approval handlers for policy blocks.

Stripe

Listed subprocessor for billing.

Scroll for all 13

Solutions 3

Packaged solutions this provider offers.

Connect

Govern third-party agents (Claude Code, Cursor) without code changes via the MCP governance proxy.

Observe

Instrument self-built agents with auto-instrumentation, policy enforcement, and cost attribution.

Runtime

Governed execution environment for high-risk workflows with the durable WorkflowEnvelope.

Resources

Get Started 4

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Console

Signup

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

LlmsText

LlmsText

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

SpectralRules

SpectralRules

Vocabulary

Vocabulary

JSONLD

JSONLD

Build 7

SDKs, sample code, and the tooling you integrate with

PostmanWorkspace

SDKs

GitHubRepository

Examples

Examples

Examples

Examples

Scroll for all 7

Access & Security 5

Authentication, authorization, and security posture

DomainSecurity

Authentication

Security

TrustCenter

Compliance

Operate 2

Status, limits, changes, and where to get help

RateLimits

RateLimits

StatusPage

StatusPage

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

Plans

Plans

FinOps

FinOps

Company 3

The organization behind the API

Website

Website

Blog

Blog

LinkedIn

Other 3

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

Glossary

Glossary

Attestations

Attestations

Source (apis.yml)

aid: waxell
url: https://raw.githubusercontent.com/api-evangelist/waxell/refs/heads/main/apis.yml
name: Waxell
type: Index
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: free
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Free · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-13'
  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: '0.23'
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: CapabilityMap
  url: capabilities/waxell-capability-edges.yml
  name: Waxell Business Capability Map
- type: Website
  url: https://www.waxell.ai/
- 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
- type: Attestations
  url: compliance/waxell-compliance.yml
maintainers:
- FN: Kin Lane
  email: info@apievangelist.com
  url: https://apievangelist.com

Waxell API — frequently asked questions

Does Waxell have an API?

Yes. APIs.io lists 6 APIs from Waxell, including Waxell Developer MCP Server, Waxell Cost Management API and Waxell Governance API, and 3 more.

Is there an OpenAPI specification for the Waxell API?

Yes. APIs.io indexes 5 OpenAPI specifications for Waxell, each linked for download from this page.

How do I authenticate with the Waxell API?

Waxell uses bearer-token authentication (apiKey/http · 2 schemes). The details are profiled on APIs.io as Waxell Authentication.

How much does the Waxell API cost?

Waxell publishes its prices; its Free Forever Plan plan is FREE FOREVER PLAN as of 2026-10-28. APIs.io lists 1 pricing plan for Waxell, with each plan's price, limits and inclusions under Pricing on this page.

Is the Waxell API ready for AI agents?

Waxell has a Kin Score of 52.6 out of 100 (developing) and an Agent Readiness score of 20.2 (agent-aware), scored by API Evangelist on 2026-11-13.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

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