Jack & Jill

Jack & Jill is an AI hiring platform built around two complementary AI agents. Jack is a free AI career agent for candidates: it scans roughly 15 million jobs daily, runs mock interviews, benchmarks salary, offers career-clarity coaching, and introduces candidates directly to hiring managers, staying fiduciary to the candidate. Jill is an AI recruiter for companies: a hiring team briefs Jill on a role and it returns a curated shortlist from Jack's network of 302,000+ pre-vetted professionals (engineers, product, design, marketing, sales, operations, leadership) within minutes, handling outreach, scheduling, and pipeline management. Operated by Tinker Tailor Talent Ltd. (founded 2024, London and San Francisco), the company raised a $20M seed round led by Creandum. Pricing is a 10% success fee on first-year base salary charged only on a successful hire, with a three-month full-refund guarantee; free for candidates. There is no public developer API today (confirmed via the site's ai.txt); this profile captures the company's real published web, AI-discovery, and security surface.

Jack & Jill is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Recruiting, Hiring, and Talent.

Jack & Jill’s developer surface includes documentation, pricing, signup flow, engineering blog, support, and 13 more developer resources.

🌐 Visit website 📡 Source on GitHub

20.0/100 emerging ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Artificial Intelligence Recruiting Hiring Talent HR Tech AI Agents Job Search Recruitment

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 20.0/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 5.2 / 20

Access Clarity 7.6 / 20

Operational Transparency 1.4 / 13

Contract Governance 0.0 / 12

Discoverability 5.7 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 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

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.

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/jack-and-jill: 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 →

Security Posture 2

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

Jack And Jill Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Jack And Jill Vulnerability Disclosure

security.txt · contact published

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

SignUp

SignUp

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Access & Security 4

Authentication, authorization, and security posture

SecurityTxt

SecurityTxt

DomainSecurity

DomainSecurity

VulnerabilityDisclosure

VulnerabilityDisclosure

Security

Security

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 4

The organization behind the API

Website

Website

Blog

Blog

LinkedIn

Twitter

Twitter

Source (apis.yml)

aid: jack-and-jill
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: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/jack-and-jill.png
name: Jack & Jill
description: 'Jack & Jill is an AI hiring platform built around two complementary AI agents. Jack is a free AI career agent
  for candidates: it scans roughly 15 million jobs daily, runs mock interviews, benchmarks salary, offers career-clarity coaching,
  and introduces candidates directly to hiring managers, staying fiduciary to the candidate. Jill is an AI recruiter for companies:
  a hiring team briefs Jill on a role and it returns a curated shortlist from Jack''s network of 302,000+ pre-vetted professionals
  (engineers, product, design, marketing, sales, operations, leadership) within minutes, handling outreach, scheduling, and
  pipeline management. Operated by Tinker Tailor Talent Ltd. (founded 2024, London and San Francisco), the company raised
  a $20M seed round led by Creandum. Pricing is a 10% success fee on first-year base salary charged only on a successful hire,
  with a three-month full-refund guarantee; free for candidates. There is no public developer API today (confirmed via the
  site''s ai.txt); this profile captures the company''s real published web, AI-discovery, and security surface.'
url: https://raw.githubusercontent.com/api-evangelist/jack-and-jill/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- creandum
x-tier: stub
x-tier-reason: portfolio-lead
x-legal-entity: Tinker Tailor Talent Ltd.
x-founded: '2024'
x-headquarters: London, UK; San Francisco, US
x-funding: $20M Seed (led by Creandum)
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Recruiting
- Hiring
- Talent
- HR Tech
- AI Agents
- Job Search
- Recruitment
tags_raw:
- Company
- Ai
- Recruiting
- Hiring
- Talent
- HR Tech
- AI Agents
- Job Search
- Recruitment
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://jackandjill.ai/
- type: DeveloperPortal
  url: https://jackandjill.ai/docs
- type: Documentation
  url: https://jackandjill.ai/docs
- type: Pricing
  url: https://jackandjill.ai/pricing
- type: SignUp
  url: https://app.jackandjill.ai/sign-up
- type: Login
  url: https://app.jackandjill.ai/sign-in
- type: TermsOfService
  url: https://jackandjill.ai/terms
- type: PrivacyPolicy
  url: https://jackandjill.ai/privacy
- type: Blog
  url: https://jackandjill.ai/blog
- type: Support
  url: https://jackandjill.ai/faq
- type: LinkedIn
  url: https://www.linkedin.com/company/jackandjillai
- type: Twitter
  url: https://x.com/jackandjillai
- type: LLMsTxt
  url: llms/jack-and-jill-llms.txt
- type: WellKnown
  url: well-known/jack-and-jill-well-known.yml
- type: SecurityTxt
  url: well-known/jack-and-jill-security.txt
- type: DomainSecurity
  url: security/jack-and-jill-domain-security.yml
- type: VulnerabilityDisclosure
  url: security/jack-and-jill-vulnerability-disclosure.yml
- type: Security
  url: well-known/jack-and-jill-security.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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