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.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Jack & Jill the way a machine reads it — 2 machine-readable artifacts, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Jack & Jill scores 21.8/100 (emerging), with a separate agent-readiness read of 7/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Jack & Jill
Each block below is one kind of artifact we hold for Jack & Jill. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Jack & Jill — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 3
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Access & Security 4
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
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