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Humanoid Balance MCP
x402
Humanoid Balance MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.35/call, status unknown (last checked 2026-10-20).
Processes humanoid robot balance-related data for motion planning, stability analysis, or posture control via an agentic MCP endpoint.
Price / call$0.35
Success—
StatusUnknown
How this service works
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Output
Returns a processed assessment of the humanoid robot's balance state, likely including stability scores, risk indicators, and recommended corrective actions or control outputs based on the submitted data string.
Example use cases
Bipedal robot stability check
“My humanoid robot is about to take a step — here's its current balance sensor data: '{"pitch":2.3,"roll":-0.5,"com_offset":0.03,"foot_pressure_left":120,"foot_pressure_right":115}'. Can you process this and tell me if it's safe to proceed with the step?”
Post-fall posture recovery
“The robot just stumbled and I need to assess its current balance state to plan recovery. Here's the telemetry: '{"orientation":[0.12,-0.08,0.0],"angular_velocity":[0.5,0.3,0.0],"base_height":0.72}'. What does the balance analysis say and what should it do to recover upright posture?”
Real-time locomotion balance monitoring
“During our walking test, I'm getting continuous balance readings from the humanoid. Process this snapshot — '{"gait_phase":"single_support","zmp_x":0.02,"zmp_y":0.005,"cop_offset":0.01}' — and give me the stability score and any warnings.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/humanoid-balance-mcp/api/process?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to compute or assess balance and stability metrics for a humanoid or bipedal robot, particularly in agentic pipelines where balance analysis must be integrated as a service call. Best suited for robotics applications requiring real-time or near-real-time balance feedback without hosting your own balance computation stack.
Side effects
- Malformed or empty data string returns a parsing error
- Data outside expected sensor ranges may yield unreliable stability scores
- Missing required balance fields in the data payload may cause computation failure
- Network timeout on large or complex data inputs
- Payment failure via x402 protocol blocks request processing
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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