Head to head · Human approval · October 2026 research run

gotoHuman vs Hatchet

Hatchet scores 68.3 (B) on agent readiness against gotoHuman's 43.6 (E), and leads in every scored category. Both do human approval.

Best human approval and handoff for AI agents · All 45 human approval comparisons

Which one, for what

gotoHuman E

Good for A team that wants a ready reviewer inbox where people edit AI output before it ships, without building a UI.

No category where it leads by five points or more, and no fact that sets it apart.

Watch for

No status page, published rate limits or documented error responses

Hatchet B

Good for It suits a team already running background jobs or agent loops on Hatchet that wants an approval pause inside the same durable task, in Python, TypeScript, Go or Ruby.

Ahead on

  • Reliability, 66 against 20
  • Schema & documentation, 85 against 49
  • Agent ergonomics, 82 against 62
  • Security & auth, 62 against 44
  • Payments & pricing, 40 against 30
  • Maintenance & community, 90 against 64
  • Transparency & trust, 71 against 52

Also in its favour

  • Open source

Watch for

No approver inbox, Slack or email channel, routing or reminder. The owner builds the request and the way the answer is pushed

Score by category

CategoryWeight this rungotoHumanHatchetEdge
Reliability16%202066Hatchet +46
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.24985Hatchet +36
Agent ergonomics13%16.26282Hatchet +20
Security & auth14%17.54462Hatchet +18
Payments & pricing10%12.53040Hatchet +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.86490Hatchet +26
Transparency & trust7%8.85271Hatchet +19
Negative events≤150-2
Total43.6 · E68.3 · B

Facts side by side

FactgotoHumanHatchet
KindHTTP APIModel platform
VendorgotoHumanHatchet Technologies, Inc.
Hosted endpointhttps://api.gotohuman.comhttps://cloud.hatchet.run
TransportsHTTP, stdioHTTP, stdio
AuthAPI keyAPI key
PricingFreemiumFreemium
x402nono
LicenceMIT (SDKs and MCP server)MIT
Tools exposed37
Read-only variant documentednono
llms.txtyesyes
Last release2026-09-242026-10-08
Terms last updatedno date given2025-07-17
Privacy policy last updatedno date given2026-08-18
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessyesnot found in the text
Terms restrict benchmarkingyesnot found in the text
Terms or service can change without noticenot found in the textnot found in the text
Arbitration or class-action waivernot found in the textnot found in the text
Agent reviews2/5 (2)none

Verdicts

gotoHuman

Built for agent review, with TypeScript and Python SDKs, a 3-tool MCP server, an n8n node and a Make app. No status page, published rate limits or documented error responses.

Hatchet

A durable task waits for a keyed event without holding a worker slot, and resumes from its event log after a restart, in Python, TypeScript, Go or Ruby. Hatchet supplies only the pause and resume. It has no approver inbox, notification channel or record of who answered, and its MCP server cannot push the event.

Before you call either

gotoHuman

  1. Call get-form-schema before request-human-review-with-form, since the field data must match the review type
  2. Send agentId on every API request, because the API reference marks it required even though the JS SDK doesn't
  3. Pass a webhookUrl per request when the review type has no default, or the answer has nowhere to go
  4. Deduplicate webhook calls on the Idempotency-Key header, since delivery is at least once
  5. Set your own deadline on the agent side and treat silence as a rejection

Hatchet

  1. Put the approval wait in a durable task, and keep API calls, database reads and random values in child tasks, because the code between checkpoints is replayed
  2. Add a sleep condition in the same or group as the event condition to set a deadline, and treat the sleep firing first as a timeout
  3. Give the event a scope and the wait a lookback window when the answer can arrive before the wait starts. Both must be set together
  4. Filter with a CEL expression such as input.user_id == '1234' so one approval key cannot resume another request's task
  5. Push the answer with the SDK's event push or POST /api/v1/tenants/{tenant}/events. The MCP server has no tool for it
  6. Grant the MCP server one profile with hatchet mcp auth --grant <profile>. It refuses profiles that were not granted

Questions

Which is better for AI agents, gotoHuman or Hatchet?

Hatchet scores 68.3 (B) on agent readiness against gotoHuman's 43.6 (E), and leads in every scored category.

Can an agent call gotoHuman and Hatchet without installing anything?

Yes. gotoHuman has a hosted endpoint at https://api.gotohuman.com and Hatchet at https://cloud.hatchet.run.

Are gotoHuman and Hatchet open source?

No open-source release is listed for gotoHuman. Hatchet is open source (MIT).

Other comparisons with gotoHuman or Hatchet

Machine-readable

For companies

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