Good Timing

Good Timing is the company behind Baton, actionable product analytics for MCP (Model Context Protocol) servers. Baton captures user intent straight from customers' agents (Claude, Cursor, ChatGPT, Copilot), records the friction that happens when an agent's call to a server cannot be met -- what the customer was trying to do, the call made, what was expected and what came back -- and generates fixes to improve the product. Capture is available through baton-sdk (Python, TypeScript, Go) embedded in a server, a gateway in front of many servers, or baton-proxy, with results reviewed in the Baton Console at baton.goodtiming.ai.

Good Timing publishes 1 API contract indexed on the APIs.io network: Metrics API. Tagged areas include Company, MCP, Product Analytics, AI Agents, and Observability.

The Good Timing catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

Good Timing’s developer surface includes CLI, changelog, authentication, documentation, engineering blog, and 25 more developer resources.

45.0/100 developing Agent 35/100 agent ready Heartbeat 100/100 alive Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →
AccessFreeSelf serve⚡ Free to try
3 published contracts 1 MCP Servers 2 Agent Skills
CompanyMCPProduct AnalyticsAI AgentsObservabilitySDK

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0
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 does not apply to this provider. The published contracts declare no write operations, and a read-only API cannot create-or-update. The facet is excluded from this provider's denominator entirely — not scored zero. A reference or data API is not deficient for being unable to upsert.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Show this score on your site. Kin Score badge preview for Good Timing It updates itself when the score changes. Paste this where you link to your API docs:
<a href="https://apis.io/providers/goodtiming-ai/"><img src="https://apis.io/badge/goodtiming-ai/card.svg" alt="Good Timing on APIs.io — Kin Score by API Evangelist"></a>
Other styles, a README pill and a shields.io endpoint are on the badge page.
Raise your score.
Agent readiness — checks not met, largest first (exact, from this profile):
4 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
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 →
Ask about:
Goodtiming Ai · a person reads this and replies by email.
or email info@apis.io
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/goodtiming-ai/apis.yml: open an issue on github.com/api-evangelist/goodtiming-ai 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.

measured — observed by APIs.io (documented)
measured — observed by APIs.io (published)

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Good Timing Metrics API

The metrics API from Good Timing — 4 operation(s) for metrics.

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Baton MCP Server

baton-mcp is Good Timing's open-source MCP server exposing Baton answers to a vendor's own agent. Per its README it is a thin client of the public Baton /v0/metrics JSON API, sh...

MCP SERVER

Agent Skills 2

Packaged agent skills for driving this provider's APIs from an AI assistant.

triage-mcp-friction

AGENT SKILL

Good Timing API pricing

Prices published by Good Timing.

PlanPrice
Free start light use of the Console costs nothing

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

Good Timing Rate Limits

0 limits

RATE LIMITS

Semantic Vocabularies 1

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

Goodtiming Ai Context

4 classes · 15 properties

JSON-LD

Spectral Rules 1

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

Good Timing API Rules

51 rules · 49 error-severity 1 warn-severity 1 info-severity

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Good Timing Openapi Overlay

5 actions · update · goodtiming-ai-openapi.yml

DERIVED

JSON Schema 1

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

Goodtiming Ai Baton Events

0 properties

JSON SCHEMA

Security Posture 2

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

Good Timing Authentication

apiKey · 3 schemes

SECURITY

Good Timing Domain Security

TLSv1.3 · DMARC

SECURITY

Agentic Access (API Evangelist recommendations) 1

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

Good Timing Agentic Access

4 operations

4 operations · 0 acting

AGENTIC

Resources

Get Started 1

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 8

Pagination, idempotency, versioning, errors, and events

Scroll for all 8

Build 5

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 3

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

Source (apis.yml)

apis.yml Raw ↑
aid: goodtiming-ai
name: Good Timing
description: Good Timing is the company behind Baton, actionable product analytics for MCP (Model Context Protocol) servers.
  Baton captures user intent straight from customers' agents (Claude, Cursor, ChatGPT, Copilot), records the friction that
  happens when an agent's call to a server cannot be met -- what the customer was trying to do, the call made, what was expected
  and what came back -- and generates fixes to improve the product. Capture is available through baton-sdk (Python, TypeScript,
  Go) embedded in a server, a gateway in front of many servers, or baton-proxy, with results reviewed in the Baton Console
  at baton.goodtiming.ai.
url: https://artifacts.apis.io/goodtiming-ai/apis.yml
x-type: company
x-source: harvest:manual
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-09 (modular-v1; was harvest)
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
  probe_state: covered
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-13'
  method: derived
specificationVersion: '0.20'
created: '2026-11-09'
modified: '2026-11-09'
tags:
- Company
- MCP
- Product Analytics
- AI Agents
- Observability
- SDK
tags_raw:
- Company
- MCP
- Model Context Protocol
- Product Analytics
- AI Agents
- Observability
- SDKs
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
image: https://goodtiming.ai/baton-share-wide.png
common:
- type: AgenticAccess
  url: agentic-access/goodtiming-ai-agentic-access.yml
- type: Plans
  url: plans/goodtiming-ai-plans-pricing.yml
- type: Spectral
  url: rules/goodtiming-ai-rules.yml
- type: JSONLD
  url: json-ld/goodtiming-ai-context.jsonld
- type: Vocabulary
  url: vocabulary/goodtiming-ai-vocabulary.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DataModel
  url: data-model/goodtiming-ai-data-model.yml
- type: CLI
  url: cli/goodtiming-ai-cli.yml
- type: ChangeLog
  url: changelog/goodtiming-ai-changelog.yml
- type: Conventions
  url: conventions/goodtiming-ai-conventions.yml
- type: Deprecation
  url: lifecycle/goodtiming-ai-lifecycle.yml
- type: Lifecycle
  url: lifecycle/goodtiming-ai-lifecycle.yml
- type: ErrorCatalog
  url: errors/goodtiming-ai-problem-types.yml
- type: Conformance
  url: conformance/goodtiming-ai-conformance.yml
- type: Overlay
  url: overlays/goodtiming-ai-openapi-overlay.yaml
- type: ToolCrosswalk
  url: mcp/goodtiming-ai-tool-crosswalk.yml
- type: MCPServer
  url: mcp/goodtiming-ai-mcp.yml
- type: Hosts
  url: hosts/goodtiming-ai-hosts.yml
- type: Vendors
  url: vendors/goodtiming-ai-vendors.yml
- type: SDKs
  url: packages/goodtiming-ai-packages.yml
- type: Packages
  url: packages/goodtiming-ai-packages.yml
- type: Authentication
  url: authentication/goodtiming-ai-authentication.yml
- type: DomainSecurity
  url: security/goodtiming-ai-domain-security.yml
- type: Website
  url: https://goodtiming.ai/
- type: Documentation
  url: https://goodtiming.ai/docs.html
- type: Blog
  url: https://goodtiming.ai/blog/
- type: GitHubOrganization
  url: https://github.com/good-timing
- type: Login
  url: https://baton.goodtiming.ai/
- type: TermsOfService
  url: https://goodtiming.ai/terms.html
- type: PrivacyPolicy
  url: https://goodtiming.ai/privacy.html
apis:
- aid: goodtiming-ai:goodtiming-ai-metrics-api
  name: Good Timing Metrics API
  description: The metrics API from Good Timing — 4 operation(s) for metrics.
  humanURL: https://goodtiming.ai/docs.html
  baseURL: https://baton.goodtiming.ai
  tags:
  - Metrics
  tags_raw:
  - metrics
  properties:
  - type: OpenAPI
    url: openapi/goodtiming-ai-metrics-api-openapi.yml
  - type: JSONSchema
    url: json-schema/goodtiming-ai-baton-events-schema.json
  - type: Documentation
    url: https://goodtiming.ai/docs.html
x-coverage:
  state: covered
  reason: identity-verified
  detail: Identity from goodtiming.ai (title "Baton — Product analytics for MCP servers", masthead "Baton by Good Timing";
    terms name the contracting party "Good Timing"). No pricing page published (/pricing 404, not recorded).
  evidence:
  - url: https://goodtiming.ai/
    status: 200
  - url: https://goodtiming.ai/docs.html
    status: 200
  - url: https://goodtiming.ai/blog/
    status: 200
  - url: https://github.com/good-timing
    status: 200
  - url: https://baton.goodtiming.ai/
    status: 200
  - url: https://goodtiming.ai/terms.html
    status: 200
  - url: https://goodtiming.ai/privacy.html
    status: 200
  - url: https://goodtiming.ai/baton-share-wide.png
    status: 200
x-enrichment:
  date: '2026-11-09'
  status: enriched
  artifacts_added: 33
  pass: modular-v1
  engine: identity=anthropic,contract=anthropic,surfaces=anthropic,docs=anthropic,regulatory=anthropic

Good Timing API — frequently asked questions

Does Good Timing have an API?

Yes. APIs.io lists 1 API from Good Timing, including Good Timing Metrics API.

Is there an OpenAPI specification for the Good Timing API?

Yes. APIs.io indexes 1 OpenAPI specification for Good Timing, each linked for download from this page.

How do I authenticate with the Good Timing API?

Good Timing uses bearer-token authentication (apiKey · 3 schemes). The details are profiled on APIs.io as Good Timing Authentication.

How much does the Good Timing API cost?

Good Timing publishes its prices; its Free start plan is light use of the Console costs nothing as of 2026-11-09. APIs.io lists 1 pricing plan for Good Timing, with each plan's price, limits and inclusions under Pricing on this page.

Does Good Timing have an MCP server?

Yes. APIs.io lists 1 MCP server for Good Timing: baton-mcp is Good Timing's open-source MCP server exposing Baton answers to a vendor's own agent. Per its README it is a thin client of the public Baton /v0/metrics JSON API, ships four metrics tools,

Is the Good Timing API ready for AI agents?

Good Timing has a Kin Score of 45.0 out of 100 (developing) and an Agent Readiness score of 34.8 (agent-ready), 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.

https://apis.io/mcp

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  • get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
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