AfterQuery

AfterQuery is a San Francisco applied research lab that curates expert reasoning data for frontier foundation models - supervised fine-tuning sets, rubric- and verifier-based reinforcement-learning environments, tool-calling and computer-use environments, RLHF, deep research tasks, multimodal data, and custom evaluation suites - produced with a network of verified professionals in finance, healthcare, law and software engineering through its AfterQuery Experts contributor platform. It publishes the IDE-Bench, App-Bench, Market-Bench, FinanceArena and FinanceQA benchmarks and sells data and evaluation engagements directly to AI labs and enterprises. AfterQuery ships no public product API: its only machine-callable surface is an anonymous documentation MCP server on its help-centre host, alongside an A2A agent card, a published agent skill and two llms.txt files.

AfterQuery publishes 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, Training Data, and Data.

AfterQuery’s developer surface includes documentation, engineering blog, support, signup flow, authentication, and 17 more developer resources.

🌐 Visit website 📡 Source on GitHub
23.7/100 emerging ▬ flat Agent 18/100 agent aware Front door AI 5/6 prominent Full breakdown ↓
scored 2026-10-03 · rubric v0.23.0
1 APIs 1 MCP Servers
CompanyArtificial IntelligenceMachine LearningTraining DataDataEvaluationReinforcement LearningBenchmarksResearchAgentsMCPA2A

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-10-03 · rubric v0.23.0
Composite quality — 23.7/100 · emerging
Contract Quality 0.0 / 21
Developer Ergonomics 6.1 / 17
Access Clarity 4.7 / 17
Operational Transparency 0.3 / 11
Contract Governance 1.9 / 10
Discoverability 6.4 / 9
Regulatory Posture 3.4 / 15
Agent readiness — 18/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 8 / 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/afterquery: 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.

AfterQuery Experts Help Center MCP

A read-only Model Context Protocol server over the AfterQuery Experts Help Center, served anonymously from AfterQuery's documentation host. Three tools - full-text documentation...

MCP Servers 1

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

AfterQuery Experts Help Center MCP

A read-only documentation MCP server over the AfterQuery Experts Help Center - full-text search across the help centre, a sandboxed read-only filesystem view of the documentatio...

MCP SERVER

Pricing Plans 1

Published pricing tiers and plan structures.

Afterquery Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Afterquery Rate Limits

0 limits

RATE LIMITS

Security Posture 2

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

Afterquery Authentication

1 scheme

SECURITY

Afterquery Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp
SignUp

Documentation 1

Reference material describing how the API behaves

Documentation
Documentation

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

MCPServer
MCPServer
 AgentSkill
AgentSkill
 LLMsTxt
LLMsTxt
 WellKnown
WellKnown

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Conventions
Conventions
 Conformance
Conformance

Build 2

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization
 Packages
Packages

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity
 Authentication
Authentication

Operate 4

Status, limits, changes, and where to get help

Support
Support
 HelpCenter
HelpCenter
 RateLimits
RateLimits
 Contact
Contact

Commercial 3

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy
 Plans
Plans

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Other 1

Properties that don't map to a standard resource type

AgentCard
AgentCard

Source (apis.yml)

apis.yml Raw ↑ 
aid: afterquery
name: AfterQuery
description: 'AfterQuery is a San Francisco applied research lab that curates expert reasoning data for frontier foundation
  models - supervised fine-tuning sets, rubric- and verifier-based reinforcement-learning environments, tool-calling and computer-use
  environments, RLHF, deep research tasks, multimodal data, and custom evaluation suites - produced with a network of verified
  professionals in finance, healthcare, law and software engineering through its AfterQuery Experts contributor platform.
  It publishes the IDE-Bench, App-Bench, Market-Bench, FinanceArena and FinanceQA benchmarks and sells data and evaluation
  engagements directly to AI labs and enterprises. AfterQuery ships no public product API: its only machine-callable surface
  is an anonymous documentation MCP server on its help-centre host, alongside an A2A agent card, a published agent skill and
  two llms.txt files.'
url: https://raw.githubusercontent.com/api-evangelist/afterquery/refs/heads/main/apis.yml
image: https://www.afterquery.com/og-default.png
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.20'
created: '2026-09-12'
modified: '2026-09-12'
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-09-17
x-docs-hosting: vercel
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Training Data
- Data
- Evaluation
- Reinforcement Learning
- Benchmarks
- Research
- Agents
- MCP
- A2A
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Training Data
- Data
- Evaluations
- Reinforcement Learning
- Benchmarks
- Research
- Agents
- Model Context Protocol
- Machine-Learning
- A2A
apis:
- aid: afterquery:afterquery-experts-help-center-mcp
  name: AfterQuery Experts Help Center MCP
  description: A read-only Model Context Protocol server over the AfterQuery Experts Help Center, served anonymously from
    AfterQuery's documentation host. Three tools - full-text documentation search, a sandboxed read-only filesystem view of
    the help-centre pages, and documentation feedback submission - verified live by an unauthenticated tools/list on 2026-09-12.
    It is a documentation-platform surface generated by Mintlify, not an interface to AfterQuery's data, evaluation or research
    products, which have no public API.
  humanURL: https://docs.afterquery.com/
  baseURL: https://docs.afterquery.com/mcp
  image: https://www.afterquery.com/og-default.png
  tags:
  - MCP
  - Documentation
  - Agents
  tags_raw:
  - Model Context Protocol
  - Documentation
  - Agents
  properties:
  - type: Documentation
    url: https://docs.afterquery.com/
  - type: MCPServer
    url: mcp/afterquery-mcp.yml
  - type: AgentCard
    url: a2a/afterquery-a2a.yml
  - type: AgentSkill
    url: skills/_index.yml
  - type: Authentication
    url: authentication/afterquery-authentication.yml
  - type: Conventions
    url: conventions/afterquery-conventions.yml
  - type: RateLimits
    url: rate-limits/afterquery-rate-limits.yml
common:
- type: DomainSecurity
  url: security/afterquery-domain-security.yml
- type: Website
  url: https://www.afterquery.com/
- type: Documentation
  url: https://docs.afterquery.com/
- type: Blog
  url: https://www.afterquery.com/blog
- type: Support
  url: https://www.afterquery.com/contact
- type: HelpCenter
  url: https://docs.afterquery.com/report-a-bug
- type: SignUp
  url: https://experts.afterquery.com/apply
- type: GitHubOrganization
  url: https://github.com/AfterQuery
- type: TermsOfService
  url: https://www.afterquery.com/terms
- type: PrivacyPolicy
  url: https://www.afterquery.com/privacy
- type: MCPServer
  url: mcp/afterquery-mcp.yml
- type: AgentCard
  url: a2a/afterquery-a2a.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/afterquery-llms.txt
- type: WellKnown
  url: well-known/afterquery-well-known.yml
- type: Authentication
  url: authentication/afterquery-authentication.yml
- type: Conventions
  url: conventions/afterquery-conventions.yml
- type: Conformance
  url: conformance/afterquery-conformance.yml
- type: Plans
  url: plans/afterquery-plans-pricing.yml
- type: RateLimits
  url: rate-limits/afterquery-rate-limits.yml
- type: Packages
  url: packages/afterquery-packages.yml
- type: Contact
  url: mailto:sales@afterquery.com
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-09-12'
  status: enriched
  artifacts_added: 17
  pass: local-v3
x-a2a:
  verified: true
  probed: '2026-09-26'
  url: https://docs.afterquery.com/.well-known/agent-card.json
  grade: conformant
  protocol_version: '0.3'
  control: 404

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