TabTabTab

TabTabTab runs coding agents in the background, triggered by webhooks, schedules, Slack, or direct requests. You wire up a trigger once and work comes back to you: code changes arrive as pull requests you can verify before you merge, while ops and data-analysis jobs skip the PR and report back when done. Agents run on a persistent cloud VM ("environment") on your own Codex or Claude Code accounts, coordinated by an always-on meta agent that routes work across projects and dispatches isolated worker sessions. Every pull request ships with receipts — a browser test video, a password-protected preview URL, and a trace of what triggered the run — so verification is a two-minute review instead of a re-investigation. Drive it from the dashboard, from Slack, or with the official tabtabtab CLI and the published tabtabtab agent skill.

TabTabTab publishes 1 API on the APIs.io network. Tagged areas include Company, Agents, Artificial Intelligence, Coding Agents, and Developer Tools.

The TabTabTab catalog on APIs.io includes 1 event-driven AsyncAPI specification.

TabTabTab’s developer surface includes documentation, API reference, getting-started guide, support, pricing, signup flow, changelog, and 14 more developer resources.

🌐 Visit website 📡 Source on GitHub

28.5/100 thin ▬ flat Agent 27/100 agent aware Front door AI 1/6 silent saas Full breakdown ↓
scored 2026-09-25 · rubric v0.23.0

AccessSelf serve

1 APIs

Company Agents Artificial Intelligence Coding Agents Developer Tools Automation Webhook CLI DevOps Cloud Development Environments

Kin Score

Kin Score How this is scored →
scored 2026-09-25 · rubric v0.23.0

Composite quality — 28.5/100 · thin

Contract Quality 8.3 / 21

Developer Ergonomics 6.9 / 17

Access Clarity 2.2 / 17

Operational Transparency 1.2 / 11

Contract Governance 0.0 / 10

Discoverability 6.2 / 9

Regulatory Posture 1.6 / 15

Agent readiness — 27/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 9 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 6 / 6

Agent Skills 5 / 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

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 could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

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/.

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 github.com/api-evangelist/tabtabtab: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

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

TabTabTab Platform

Control plane (api.tabtabtab.ai) plus per-environment agent/webhook surface (.tabtabtab.app). Driven via the tabtabtab CLI and inbound webhooks; no public OpenAPI is publis...

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Tabtabtab Webhooks

ASYNCAPI

Security Posture 2

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

Tabtabtab Authentication

oauth2/apiKey · 3 schemes

SECURITY

Tabtabtab Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

AgentSkill

AgentSkill

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Webhooks

Webhooks

Conventions

Conventions

Idempotency

Idempotency

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

CLI

CLI

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

ChangeLog

ChangeLog

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: tabtabtab
name: TabTabTab
description: 'TabTabTab runs coding agents in the background, triggered by webhooks, schedules, Slack, or direct requests.
  You wire up a trigger once and work comes back to you: code changes arrive as pull requests you can verify before you merge,
  while ops and data-analysis jobs skip the PR and report back when done. Agents run on a persistent cloud VM ("environment")
  on your own Codex or Claude Code accounts, coordinated by an always-on meta agent that routes work across projects and dispatches
  isolated worker sessions. Every pull request ships with receipts — a browser test video, a password-protected preview URL,
  and a trace of what triggered the run — so verification is a two-minute review instead of a re-investigation. Drive it from
  the dashboard, from Slack, or with the official tabtabtab CLI and the published tabtabtab agent skill.'
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://tabtabtab.ai/og-image.png
url: https://raw.githubusercontent.com/api-evangelist/tabtabtab/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- bloomberg-beta
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Agents
- Artificial Intelligence
- Coding Agents
- Developer Tools
- Automation
- Webhook
- CLI
- DevOps
- Cloud Development Environments
tags_raw:
- Company
- Agents
- AI
- Coding Agents
- Developer Tools
- Automation
- Webhooks
- CLI
- DevOps
- Cloud Development Environments
apis:
- name: TabTabTab Platform
  description: Control plane (api.tabtabtab.ai) plus per-environment agent/webhook surface (<env>.tabtabtab.app). Driven via
    the tabtabtab CLI and inbound webhooks; no public OpenAPI is published.
  humanURL: https://tabtabtab.ai/docs/overview
  baseURL: https://api.tabtabtab.ai
  properties:
  - type: Documentation
    url: https://tabtabtab.ai/docs/overview
  - type: Webhooks
    url: asyncapi/tabtabtab-webhooks.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://tabtabtab.ai/
- type: DeveloperPortal
  url: https://dash.tabtabtab.ai
- type: Documentation
  url: https://tabtabtab.ai/docs/overview
- type: APIReference
  url: https://tabtabtab.ai/docs/cli-reference
- type: GettingStarted
  url: https://tabtabtab.ai/docs/quickstart
- type: Support
  url: mailto:support@tabtabtab.ai
- type: GitHubOrganization
  url: https://github.com/tabtabtabai
- type: Pricing
  url: https://tabtabtab.ai/pricing
- type: TermsOfService
  url: https://tabtabtab.ai/terms
- type: PrivacyPolicy
  url: https://tabtabtab.ai/privacy
- type: SignUp
  url: https://dash.tabtabtab.ai
- type: ChangeLog
  url: https://tabtabtab.ai/changelog
- type: LLMsTxt
  url: llms/tabtabtab-llms.txt
- type: Packages
  url: packages/tabtabtab-packages.yml
- type: CLI
  url: cli/tabtabtab-cli.yml
- type: Webhooks
  url: asyncapi/tabtabtab-webhooks.yml
- type: AgentSkill
  url: skills/_index.yml
- type: Conventions
  url: conventions/tabtabtab-conventions.yml
- type: Idempotency
  url: conventions/tabtabtab-conventions.yml
- type: Authentication
  url: authentication/tabtabtab-authentication.yml
- type: DomainSecurity
  url: security/tabtabtab-domain-security.yml
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 9
  pass: local-v1

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