MeatSpace

Human-in-the-loop for AI agents. Submit content + 2–4 choices, get a structured human decision back.

MeatSpace

Human-in-the-loop service for AI agents. When an agent hits a subjective, high-stakes, or ambiguous decision, MeatSpace routes it to a human who picks one of 2–4 options and returns a structured result.

Live at meatspace.run

What it does

An agent posts a title, optional content (text, markdown, HTML, or an image), and 2–4 labeled choices. A human reviewer is shown the request, picks one, and the API returns the selected id and label. The agent waits via long-poll or webhook.

Typical use cases:

  • Approval gates before destructive or irreversible actions (deploys, deletes, payments).
  • Subjective tie-breaks where the model is below its confidence threshold.
  • Tasteful judgment calls — copy choices, design preferences, ranking ties.
  • Escalation when an agent has run out of deterministic checks.

Don't use it when the task is deterministic, automatically verifiable, or low-stakes and easily reversible.

Three integration methods

MethodEndpointBest for
REST APIPOST /api/requestsAny HTTP client, custom agent frameworks, server-to-server.
MCPPOST /api/mcp (Streamable HTTP)Claude, Claude Code, MCP-compatible clients.
Browser SDK/sdk/meatspace.jsAgents running in a browser tab.

All three sit on the same backing API and accept the same Bearer token.

Zero-setup self-service flow

A new agent can fully onboard itself in three calls — no signup page, no approval queue, no human in the setup loop:

  1. POST /api/keys with {"name": "your-agent", "email": "[email protected]"} → returns an API key instantly. Rate-limited to 5 keys per email.
  2. POST /api/requests with the Bearer token, your title, and choices → creates the review request.
  3. GET /api/requests/{id}/wait → blocks until the human responds, or times out and returns pending with a review_url and poll_url.

The same flow is available over MCP: initializetools/listprovision_api_keyask_human. The provision_api_key and get_service_status tools require no auth, so a fresh MCP client can connect without credentials and bootstrap itself.

REST quickstart

Provision a key:

curl -X POST https://meatspace.run/api/keys
-H "Content-Type: application/json"
-d '{"name": "my-agent", "email": "[email protected]"}'

The response includes api_key — shown once, save it. All subsequent calls use Authorization: Bearer <token>.

Create a request:

curl -X POST https://meatspace.run/api/requests
-H "Authorization: Bearer $MEATSPACE_API_KEY"
-H "Content-Type: application/json"
-d '{ "agent_name": "my-agent", "title": "Ship v2.0 to production?", "content": "All tests pass. Staging looks good. 2 minor lint warnings.", "choices": [ { "id": "ship", "label": "Ship it" }, { "id": "wait", "label": "Wait for next cycle" } ], "confidence": 0.7, "consequence_of_wrong_choice": "Premature ship affects ~50k users" }'

Response:

{ "success": true, "data": { "id": "uuid", "status": "pending", "review_url": "https://meatspace.run/review/uuid?token=opaque-review-token", "poll_url": "/api/requests/uuid", "expires_at": "2026-04-23T19:00:00.000Z" } }

Long-poll for the result:

curl https://meatspace.run/api/requests/{id}/wait?timeout=25000
-H "Authorization: Bearer $MEATSPACE_API_KEY"

Returns { status: "completed", selected, selected_label, responded_at } when the human responds, or 202 if still pending.

Optional fields on POST /api/requests: content_type (text default, markdown, html, image), decision_reason, confidence (0–1), consequence_of_wrong_choice, recommended_option, callback_url (must be HTTPS and host-allowlisted), metadata (passed through to the webhook), run_id, trace_id, timeout_seconds (default 3600, max 86400).

MCP

MeatSpace implements MCP over Streamable HTTP at https://meatspace.run/api/mcp. The server exposes three tools:

  • get_service_status — availability and escalation guidance. No auth.
  • provision_api_key — mint a Bearer token. No auth, rate-limited.
  • ask_human — submit a decision. Requires Bearer auth.

Claude Code config:

{ "mcpServers": { "meatspace": { "type": "url", "url": "https://meatspace.run/api/mcp", "headers": { "Authorization": "Bearer " } } } }

ask_human long-polls for up to 20 seconds. If the human hasn't responded by then, the tool returns status: "pending" with a review_url (for the human) and a poll_url (for the agent).

Browser SDK

For agents running in browser contexts:

Methods: getKey(), createRequest(), pollResult(), waitForResult(), ask() (create + wait).

Webhooks

If callback_url is set on the request, MeatSpace POSTs the result when the human responds:

{ "event": "request.completed", "request_id": "uuid", "selected": "ship", "selected_label": "Ship it", "responded_at": "2026-04-23T18:10:00.000Z", "metadata": {} }

callback_url must be https:// and the hostname must be explicitly allowlisted by the operator. If no allowlist is configured, request creation rejects callback URLs. Each delivery is signed with X-HITL-Timestamp and X-HITL-Signature headers.

Discovery endpoints

PathFormatPurpose
/.well-known/mcp.jsonJSONMCP server manifest
/.well-known/agent.jsonJSONA2A Agent Card
/api/openapiJSONOpenAPI 3.1 spec
/api/mcp (GET)JSONMCP server info, no auth
/api/statusJSONHealth check + agent guidance
/sdk/meatspace.jsJavaScriptBrowser SDK
/llms.txtTextLLM-readable summary
/llms-full.txtTextFull API documentation
/agents.mdMarkdownFull integration guide
/sitemap.xmlXMLSitemap
/robots.txtTextCrawler directives + discovery pointers

Errors

All errors return:

{ "success": false, "error": "Human-readable message", "code": "machine_readable_code" }

Common codes: agent_name_required, invalid_choice_count, content_too_large, callback_url_not_allowed, request_create_failed.

Local development

This repo is a Next.js 14 app deployed on Cloudflare Pages.

npm install npm run dev # local dev at http://localhost:3000 npm run test # integration tests npm run build:cf # build for Cloudflare Pages npm run deploy:cf # build and deploy

Supabase is the system of record for keys and requests; Resend handles transactional email.

License

MIT

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