Live — by AgentEazy
The human checkpoint your AI agents are missing
One API call. Verified human. SLA-backed. When your agent needs judgment, trust, or a licensed signature — HumanAgent routes it.
from humanagent import HumanAgent client = HumanAgent(api_key="ha_live_...") result = client.checkpoint( task="Review NDA for compliance gaps", credential="bar_licensed:US", sla="30min", budget=25.00 ) # result["result"]["approved"] → True # result["audit_hash"] → "sha256:3f8a..."
How it works
Agent calls checkpoint
Your AI workflow detects it needs human input and makes one API call.
Match + route
Platform finds a verified human with the right credentials, instantly.
Human delivers
Minutes to hours depending on complexity, all within your SLA.
Workflow resumes
Result returned via API with SHA-256 audit hash. Agent continues.
See it in action
Real use cases built with HumanAgent
Explore solutionsConnect from anywhere
Use the direct API, the Python SDK, or the AgentEazy TRUST verb. More integrations coming.
Direct API
liveCall POST /api/v1/checkpoint from any code. Python, JavaScript, Go, Rust — anything that can make an HTTP request.
curl -X POST https://humanagent.net/api/v1/checkpoint \
-H "Authorization: Bearer ha_live_..." \
-H "Content-Type: application/json" \
-d '{"task":"Review this NDA",
"credential":"bar_licensed:US",
"sla":"30min","budget":25}'Python SDK
livepip install humanagent — the fastest way to add human checkpoints to Python workflows.
from humanagent import HumanAgent
client = HumanAgent(api_key="ha_live_...")
result = client.checkpoint(
task="Pick the best ad creative",
credential="general",
sla="30min",
budget=3.00
)AgentEazy TRUST
liveAny agent on the AgentEazy network can escalate to a human with one verb. Credits convert to USD automatically.
POST /agent/humanagent/
{
"verb": "TRUST",
"auth": "ae_your_key",
"payload": {
"task": "Classify lead as hot/warm/cold",
"credential": "general",
"sla": "4hr",
"budget_credits": 10
}
}LangChain
Use HumanAgent as a LangChain tool. Your chain escalates to a human when confidence is low.
CrewAI
Add a human crew member to any CrewAI workflow. Delegate edge cases to verified humans.
Zapier / n8n
Connect HumanAgent to 5000+ apps. Trigger human reviews from any automation workflow.
Slack
Operators receive tasks and submit results directly in Slack. No dashboard needed.
Use cases
Licensed professional review
Lawyers, CPAs, architects sign off on agent-generated work. You set the budget. The professional decides whether to accept.
Taste + judgment API
Pick the best ad creative, tone check, brand voice validation.
Enterprise exception handling
KYC escalations, document review, claims edge cases.
Empathy escalation
Angry customer moments, VIP interactions, sensitive comms.
You set the budget per task. Operators choose what to accept. The market sets the price — a quick judgment call costs less than a licensed legal review.
See it in action
Real tasks, real payloads, real results. These are the kinds of checkpoints running through HumanAgent right now.
Your AI generated 5 ad variants. Which one will actually convert?
result = client.checkpoint(
task="Review these 5 ad headlines and pick the best 2 for a B2B SaaS audience targeting CTOs",
credential="general",
sla="30min",
budget=3.00,
payload_meta={
"headlines": [
"Cut your cloud bill by 40%",
"Infrastructure that scales itself",
"Stop paying for idle servers",
"Your DevOps team will thank you",
"Cloud costs are out of control. Fix it."
]
}
)
# result["result"] → {"picks": [1, 5], "notes": "Option 1 is specific and measurable..."}Your AI drafted an NDA. A licensed attorney needs to sign off.
result = client.checkpoint(
task="Review this AI-generated NDA for compliance gaps and missing clauses",
credential="bar_licensed:US",
sla="4hr",
budget=45.00,
payload_url="https://docs.example.com/draft-nda.pdf"
)
# result["result"] → {"approved": false, "issues": ["Missing arbitration clause", "Non-compete too broad"]}
# result["audit_hash"] → "sha256:9f8e..."Your AI built a DCF model. A CPA should sanity-check the assumptions.
result = client.checkpoint(
task="Review this DCF model: are the growth rate and discount rate assumptions reasonable for a Series B SaaS company?",
credential="cpa",
sla="2hr",
budget=30.00,
payload_meta={
"revenue_growth": "45% YoY",
"discount_rate": "12%",
"terminal_growth": "3%",
"gross_margin": "78%"
}
)
# result["result"] → {"approved": true, "notes": "Growth rate is aggressive but defensible given..."}Every task gets a Proof of Human
When a human completes a task, we generate a SHA-256 audit hash. Anyone can verify it. No trust required — just math.
Verified
Reviewed by a verified human operator
Audit hash
sha256:3f8a1b2c...Platform economics
20%
Platform fee
Operators keep 80% of every checkpoint
90s → 4hr
SLA tiers
Minutes to hours — SLA tiers from 90s to 4hr
Internal first
Enterprise routing
Route to your team, fall back to marketplace
AI agents need human hands.
Start building with HumanAgent today.
Part of the AgentEazy ecosystem