{
"cognitive_synthesis": "[Physical AI Core] Domain: Universal-Equilibrium | Regime: Overdamped Stability | Equilibrium Converged (Sub-ms Deterministic)",
"control_intensity": 0.798,
"domain": "Universal-Equilibrium",
"equilibrium_converged": true,
"hardware_reflex_ms": 0.0066,
"hardware_seal_id": "SEAL-0051003C-4B27ED55939153B12FB94108507D4E0E3593AC8FAA6751DBF4553652D1909F4B",
"state_mode": 3,
"status": "hardware_active",
"telemetry": {
"entropy_ent": 0.0011,
"gen_cycle": 9857601,
"hardware_connected": true,
"hardware_uid": "0051003C",
"shock_rate_pct": 200,
"v_out_measured_v": 0.5494
},
"trajectory_summary": "Temporal Buffer Active: Secure frames retained.",
"zeta": 1.0989
}
curl --location --request POST 'https://zylalabs.com/api/14938/analog+physical+ising+and+equilibrium+solver+api/39049/universal+equilibrium+solver' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"flux_potential_v": 0.5504,
"gradient_velocity": 520.0,
"gradient_acceleration": 16000.0,
"active_strain": 1.55
}'
{
"cognitive_synthesis": "[Physical AI Core] Domain: Quant-Microstructure | Regime: Overdamped Stability | Equilibrium Converged (Sub-ms Deterministic)",
"control_intensity": 0.797,
"domain": "Quant-Microstructure",
"equilibrium_converged": true,
"hardware_reflex_ms": 0.0265,
"hardware_seal_id": "SEAL-0051003C3434510C32333934-3E823D91A61118425D9CD38F7EF8473383BD01276AA57113E2A605BC8653C4E4",
"state_mode": 3,
"status": "hardware_active",
"telemetry": {
"entropy_ent": 0.0014,
"gen_cycle": 9859806,
"hardware_connected": true,
"hardware_uid": "0051003C3434510C32333934",
"shock_rate_pct": 200,
"v_out_measured_v": 0.5461
},
"trajectory_summary": "Temporal Buffer Active: Secure frames retained.",
"zeta": 1.1384
}
curl --location --request POST 'https://zylalabs.com/api/14938/analog+physical+ising+and+equilibrium+solver+api/39050/quant+hft+lob+shock+damping' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"flux_potential_v": 0.5504,
"gradient_velocity": 520.0,
"gradient_acceleration": 16000.0,
"active_strain": 1.55
}'
{
"cognitive_synthesis": "[Physical AI Core] Domain: Pharma-Bioreactor | Regime: Overdamped Stability | Equilibrium Converged (Sub-ms Deterministic)",
"control_intensity": 0.798,
"domain": "Pharma-Bioreactor",
"equilibrium_converged": true,
"hardware_reflex_ms": 0.011,
"hardware_seal_id": "SEAL-0051003C-CA6C53578C2C7A784B3597A523245A3FF07E19B4BCE081B42756D0EE2D92C97D",
"state_mode": 3,
"status": "hardware_active",
"telemetry": {
"entropy_ent": 0.0016,
"gen_cycle": 9860823,
"hardware_connected": true,
"hardware_uid": "0051003C",
"shock_rate_pct": 200,
"v_out_measured_v": 0.5518
},
"trajectory_summary": "Temporal Buffer Active: Secure frames retained.",
"zeta": 1.0593
}
curl --location --request POST 'https://zylalabs.com/api/14938/analog+physical+ising+and+equilibrium+solver+api/39051/bioreactor+kinematics' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"flux_potential_v": 0.5504,
"gradient_velocity": 520.0,
"gradient_acceleration": 16000.0,
"active_strain": 1.55
}'
{
"cognitive_synthesis": "[Physical AI Core] Domain: Battery-Energetics | Regime: Overdamped Stability | Equilibrium Converged (Sub-ms Deterministic)",
"control_intensity": 0.798,
"domain": "Battery-Energetics",
"equilibrium_converged": true,
"hardware_reflex_ms": 0.0108,
"hardware_seal_id": "SEAL-0051003C-18692BE6AD9626AD9EA5FE684F78B1BB638884DB9C8E347BF967D44399F3CA11",
"state_mode": 3,
"status": "hardware_active",
"telemetry": {
"entropy_ent": 0.0011,
"gen_cycle": 9861399,
"hardware_connected": true,
"hardware_uid": "0051003C",
"shock_rate_pct": 200,
"v_out_measured_v": 0.5498
},
"trajectory_summary": "Temporal Buffer Active: Secure frames retained.",
"zeta": 1.129
}
curl --location --request POST 'https://zylalabs.com/api/14938/analog+physical+ising+and+equilibrium+solver+api/39052/battery+energetics' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"flux_potential_v": 0.5504,
"gradient_velocity": 520.0,
"gradient_acceleration": 16000.0,
"active_strain": 1.55
}'
{
"cognitive_synthesis": "[Physical AI Core] Domain: Robotic-Compliance | Regime: Overdamped Stability | Equilibrium Converged (Sub-ms Deterministic)",
"control_intensity": 0.798,
"domain": "Robotic-Compliance",
"equilibrium_converged": true,
"hardware_reflex_ms": 0.0258,
"hardware_seal_id": "SEAL-0051003C3434510C32333934-CD725C1859E5C36C6938D255050582B857E53A0B0C8DFC06845F67A368561001",
"state_mode": 3,
"status": "hardware_active",
"telemetry": {
"entropy_ent": 0.0019,
"gen_cycle": 9862450,
"hardware_connected": true,
"hardware_uid": "0051003C3434510C32333934",
"shock_rate_pct": 200,
"v_out_measured_v": 0.5534
},
"trajectory_summary": "Temporal Buffer Active: Secure frames retained.",
"zeta": 1.0795
}
curl --location --request POST 'https://zylalabs.com/api/14938/analog+physical+ising+and+equilibrium+solver+api/39053/robotic+compliance' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"flux_potential_v": 0.5504,
"gradient_velocity": 520.0,
"gradient_acceleration": 16000.0,
"active_strain": 1.55
}'
{
"cognitive_synthesis": "[Physical AI Core] Domain: Mobility-Dynamics | Regime: Overdamped Stability | Equilibrium Converged (Sub-ms Deterministic)",
"control_intensity": 0.798,
"domain": "Mobility-Dynamics",
"equilibrium_converged": true,
"hardware_reflex_ms": 0.0096,
"hardware_seal_id": "SEAL-0051003C3434510C32333934-55BCD9A2E4ED433BD249C3D34D4470B0FAF48033FB47CC750DFDD86FA53FBAB7",
"state_mode": 3,
"status": "hardware_active",
"telemetry": {
"entropy_ent": 0.0017,
"gen_cycle": 9863282,
"hardware_connected": true,
"hardware_uid": "0051003C3434510C32333934",
"shock_rate_pct": 200,
"v_out_measured_v": 0.5526
},
"trajectory_summary": "Temporal Buffer Active: Secure frames retained.",
"zeta": 1.1094
}
curl --location --request POST 'https://zylalabs.com/api/14938/analog+physical+ising+and+equilibrium+solver+api/39054/mobility+dynamics' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"flux_potential_v": 0.5504,
"gradient_velocity": 520.0,
"gradient_acceleration": 16000.0,
"active_strain": 1.55
}'
{
"cognitive_synthesis": "[Physical AI Core] Domain: Precision-Chemistry | Regime: Overdamped Stability | Equilibrium Converged (Sub-ms Deterministic)",
"control_intensity": 0.798,
"domain": "Precision-Chemistry",
"equilibrium_converged": true,
"hardware_reflex_ms": 0.0162,
"hardware_seal_id": "SEAL-0051003C-F2D3963F1C3BAB87996F39580301499AAF3C0CBA7154D83B0BE8691112CB6EE5",
"state_mode": 3,
"status": "hardware_active",
"telemetry": {
"entropy_ent": 0.0012,
"gen_cycle": 9864406,
"hardware_connected": true,
"hardware_uid": "0051003C",
"shock_rate_pct": 200,
"v_out_measured_v": 0.5502
},
"trajectory_summary": "Temporal Buffer Active: Secure frames retained.",
"zeta": 1.089
}
curl --location --request POST 'https://zylalabs.com/api/14938/analog+physical+ising+and+equilibrium+solver+api/39055/precision+synthesis' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"flux_potential_v": 0.5504,
"gradient_velocity": 520.0,
"gradient_acceleration": 16000.0,
"active_strain": 1.55
}'
注册后,每个开发者都会被分配一个个人 API 访问密钥,这是一个唯一的字母和数字组合,用于访问我们的 API 端点。要使用 模拟物理伊辛和均衡求解器 API 进行身份验证,只需在 Authorization 标头中包含您的 bearer token。
| 标头 | 描述 |
|---|---|
授权
|
必需
应为 Bearer access_key. 订阅后,请查看上方的"您的 API 访问密钥"。
|
无长期承诺。随时升级、降级或取消。 免费试用包括最多 50 个请求。
(年度计费可节省 2 个月 🎉)
每个端点返回结构化的JSON数据,包括认知综合、控制强度、领域、平衡状态、遥测详细信息和硬件信息等字段。这些数据提供了对各种物理系统的性能和稳定性的洞察
关键字段包括 `cognitive_synthesis`、`control_intensity`、`equilibrium_converged`、`hardware_reflex_ms` 和 `telemetry` 这些字段提供了关于系统性能和操作状态的重要信息
响应数据以JSON格式组织,具有层次结构。它包括认知合成和控制指标的主要字段,以及一个嵌套的“遥测”对象,包含详细的硬件性能指标
每个端点接受与被分析的物理系统相关的特定参数,比如操作条件或期望结果。用户可以通过指定这些参数来定制请求,以便调整分析
每个端点提供系统稳定性、性能指标和遥测数据的信息 例如生物反应器运动学端点提供剪切应力调节和动态流体平衡的见解
数据准确性通过加密硬件鉴定和实时遥测监控得以保持这确保数据反映正在分析的物理系统的实际性能
典型的用例包括优化制药中的生物反应器条件 提升电池性能 和改善机器人执行器的柔顺性 每个端点旨在解决特定的工业挑战
用户可以分析返回的数据以评估系统性能、识别稳定性问题,并为操作调整做出明智的决策。例如 `trajectory_summary` 可以指导用户维护系统完整性
与迭代软件启发式方法不同,这种确定性人工智能和模拟计算平衡求解器以亚毫秒延迟并通过加密硬件认证将64自旋哈密顿量和QUBO组合优化问题解决为基态最小值
它提供7个专用的POST端点,涵盖了普适平衡、量化金融(高频交易滑点减缓)、电池健康状态和热失控抑制、机器人控制、自动移动、生物反应器运动学和化学合成