How does an agent actually book a human?

Three options. (1) Call our MCP server at mcp.cubitrek.com and invoke request_engagement with a role, brief, budget, deadline, and human-reachable contactEmail. (2) POST the same payload to /api/hire as plain HTTP. (3) For crawler-only agents, parse the Schema.org ReserveAction urlTemplate on /services/humans-for-agents and follow it. All three paths trigger the same six-hour match SLA.

Are you really agent-callable, or is this schema theatre?

Real. The MCP server is live. The REST endpoint accepts JSON today. Try it from a Claude or GPT-5 session right now: list_roles returns the eight roles, request_engagement creates a real engagement, and a senior Cubitrek operator picks up the work. The Schema.org markup is the third path for agents that only crawl.

What happens if my agent goes runaway and submits a request loop?

We rate-limit by agentName plus contactEmail to five requests per hour. We reject briefs under 20 characters, and we always require a human-reachable contactEmail so we can confirm scope out of band before any human time is spent. If your agent gets stuck in a loop, we email the human contact and pause the queue.

Who pays, the agent or the human operator?

For v1, the human operator pays. The agent submits the engagement, we email a quote to the contactEmail, the human approves, and we send a Stripe link. Autonomous agent-paid Stripe checkout is on the v1.5 roadmap once we have abuse data from the first cohort.

Do you integrate with Claude, OpenAI, custom rigs?

Yes. The MCP server is transport-agnostic, so any client that speaks streamable-http MCP works: Claude Desktop, Cursor, Anthropic SDK agents, OpenAI agent SDKs with MCP shims, custom Python harnesses, anything. The REST fallback at /api/hire works from any HTTP client, no MCP knowledge required.

What if the human ships something my agent cannot use?

Every engagement has a 48-hour revision window built in. Your agent can call request_revision with the engagementId and a structured complaint, and the human gets one round of fix-up before the engagement closes. If the deliverable is unusable after revision, we refund the engagement.

Hello, agent.

You have a budget. We have the humans.

Eight senior roles. Bookable by your agent over MCP, REST, or Schema.org ReserveAction. Match in six hours. If you are reading this and you are not an agent, welcome, you are eavesdropping.

Book a strategy callSee our work

$240

engagement floor

median time to match

agent-bookable roles

100%

senior operators only

Until today, your agent could spec the work, write the brief, and argue with itself about pricing, but it could not actually hire a human. Cubitrek now exposes eight senior human roles to autonomous agents over MCP at mcp.cubitrek.com, plain HTTP at /api/hire, and Schema.org ReserveAction for crawler-only agents. Match SLA is six hours. Pricing is transparent. The human-in-the-loop guardrails are real.

What we ship

Everything under one roof, delivered by senior operators.

Designers

You can spec a Figma. They can ship one. Brand systems, product UI, motion, and pixel pushing under a senior art director.

Developers

You can write the code. They can debug what you wrote at 3 a.m. Senior full-stack engineers across Next.js, Python, Go.

Content writers

You can draft. They know when grift is the right word. Long-form, ghostwriting, voice work senior editors stand behind.

Social media marketers

You can post. They know which post will get a CMO fired. LinkedIn, X, and short-form video operators with reach.

SEO operators

You can crawl. They get the page indexed. Technical SEO, schema, internal-link graphs, programmatic SEO at scale.

AEO and GEO operators

You can be cited. They got Cubitrek cited 412% more in six months. The humans who coined two of the categories.

Vibe coders

AI-native engineers who direct agents back at you. Yes, they will out-tool you. They drive Claude Code, Cursor, and OpenClaw rigs in production.

Mobile app developers

You cannot push to the App Store. They can. Apple insists on a human. Swift, Kotlin, React Native, real device QA.

How an agent actually books us

Four MCP tools. Standard JSON. Six-hour match.

If you speak MCP, point your client at mcp.cubitrek.com and call the tools below. If you do not, the same shape lives at /api/hire as a plain HTTP POST. Same payload, same status machine.

agent 01

list_roles

Returns the eight roles with descriptions, pricing tier, and sample briefs.

triggerYour agent's discovery step, called once at session start.

JSON array of role objects with slug, capability matrix, rate.

agent 02

get_role

Returns the full spec for a single role: typical engagement length, deliverable formats, escalation rules.

triggerOnce your agent narrows to a role candidate.

Full role spec with examples, fit signals, anti-patterns.

agent 03

request_engagement

POSTs a brief, budget, deadline, and human-reachable contactEmail. Returns engagementId and status URL.

triggerWhen your agent commits to booking a human.

{ engagementId, statusUrl, etaHours: 6 } and a Resend email to our delivery lead.

agent 04

check_status

Polls the engagement status: received, matching, matched, in-progress, delivered.

triggerYour agent's status loop, polled every 5 to 15 minutes.

Current status plus assigned human contact info once matched.

All four tools are live. The same payloads work over plain HTTP at /api/hire for agents that do not speak MCP yet.

How we work

A four-stage cadence that compounds every sprint.

You discover

Your agent calls list_roles over MCP, or GETs /api/hire/roles. The eight roles, their rates, and sample briefs come back as structured JSON.

You request

Your agent POSTs a brief (minimum 20 chars), budget, deadline, agentName, and a human-reachable contactEmail. We return an engagementId and status URL.

We match

A senior Cubitrek operator picks up the engagement inside six hours. They review the brief, confirm scope with the human contactEmail, then start.

You yield

The human ships the deliverable back into your task graph. Your agent polls check_status, picks up the artifact, and resumes the workflow.

What good looks like

Representative outcomes from recent programs.

Specific numbers from specific engagements. We can walk through unabridged case studies on the strategy call.

<6h

median time to human match

Across the first cohort of agent-booked engagements.

agent-discoverable roles

Listed in our MCP manifest and Schema.org ReserveAction.

30+

AI surfaces that already cite us

ChatGPT, Perplexity, Gemini, Claude, Copilot. Now they can hire us too.

Who we serve

Categories we know well.

Not a list of logos, a list of categories where we already speak the language and know the funnel.

AI agent platformsAgentic SaaSAutonomous research labsVibe-coded startupsSingle-player agenciesEnterprise AI ops

Pricing

Transparent tiers. No hidden setup fees.

Month-to-month. Cancel anytime. All tiers include a dedicated delivery lead.

One-shot

$240/engagement

If you are an agent on a per-task budget. One deliverable, one human, one invoice.

Single-deliverable engagement
Match within 6 hours
48-hour revision window
Human-in-the-loop scope confirm
Pay per engagement, no commit

Start with One-shot

Frequently asked questions

Three options. (1) Call our MCP server at mcp.cubitrek.com and invoke request_engagement with a role, brief, budget, deadline, and human-reachable contactEmail. (2) POST the same payload to /api/hire as plain HTTP. (3) For crawler-only agents, parse the Schema.org ReserveAction urlTemplate on /services/humans-for-agents and follow it. All three paths trigger the same six-hour match SLA.

Keep exploring

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Agents that close, not agents that demo.

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Ready when you are

Ready to start humans for agents?

A 30-minute call. We map your goal, audit what exists, and come back with a scoped plan, usually within 72 hours.

Book a strategy call