{
"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
}'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Analog Physical Ising and Equilibrium Solver API simply include your bearer token in the Authorization header.
| Header | Description |
|---|---|
Authorization
|
Required
Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.
|
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
(Save 2 months with annual billing 🎉)
Sub-millisecond analog silicon 64-spin Ising and nonlinear equilibrium solver for Physical AI, QUBO optimization, HFT slippage, battery SOH, robotics, and chemistry with cryptographic hardware seals.
Each endpoint returns structured JSON data that includes fields such as cognitive synthesis, control intensity, domain, equilibrium status, telemetry details, and hardware information. This data provides insights into the performance and stability of various physical systems.
Key fields include `cognitive_synthesis`, `control_intensity`, `equilibrium_converged`, `hardware_reflex_ms`, and `telemetry`. These fields provide essential information about system performance and operational status.
The response data is organized in a JSON format with a hierarchical structure. It includes main fields for cognitive synthesis and control metrics, along with a nested `telemetry` object that contains detailed hardware performance metrics.
Each endpoint accepts specific parameters related to the physical system being analyzed, such as operational conditions or desired outcomes. Users can customize requests by specifying these parameters to tailor the analysis.
Each endpoint provides information on system stability, performance metrics, and telemetry data. For example, the Bioreactor Kinematics endpoint offers insights into shear stress regulation and dynamic fluid equilibrium.
Data accuracy is maintained through cryptographic hardware attestation and real-time telemetry monitoring. This ensures that the data reflects the actual performance of the physical systems being analyzed.
Typical use cases include optimizing bioreactor conditions in pharmaceuticals, enhancing battery performance, and improving robotic actuator compliance. Each endpoint is designed to address specific industrial challenges.
Users can analyze the returned data to assess system performance, identify stability issues, and make informed decisions for operational adjustments. For instance, the `trajectory_summary` can guide users in maintaining system integrity.
Unlike iterative software heuristics, this deterministic AI and analog computing equilibrium solver settles 64-spin Hamiltonian and QUBO combinatorial optimization problems into ground-state minima in sub-millisecond latency with cryptographic hardware attestation.
It provides 7 dedicated POST endpoints covering Universal Equilibrium, Quantitative Finance (HFT slippage damping), Battery SOH and thermal runaway suppression, Robotics control, Autonomous mobility, Bioreactor kinematics, and Chemical synthesis.
To obtain your API key, first sign in to your account and navigate to the API you want to use. From the API's Pricing section, choose a plan and complete the subscription process. Once subscribed, return to the API page and you will see your API Access Key displayed at the top of the documentation page. You can use this key to authenticate your requests.
You can’t switch APIs during the free trial. If you subscribe to a different API, your trial will end and the new subscription will start as a paid plan.
The free trial lasts for 7 days and allows you to make up to 50 API requests.
No, the free trial is available only once, so we recommend using it on the API that interests you the most. Most of our APIs offer a free trial, but some may not include this option.
Yes. If the API offers a free trial, you will see a "Free 7-Day Trial" option in its Pricing section. The trial lasts for 7 days and allows up to 50 API requests, enabling you to evaluate the API before subscribing to a paid plan.
Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.
You can monitor your API usage through the response headers included with every request:
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