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Algorithm QA workspace

Choose a synthetic biosignal challenge, generate a deterministic package, verify your algorithm locally, and archive the evidence.

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What do you want to do next?

For most algorithm development, start with a curated pack. Use scenario editing only when you need a custom edge case.

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1 Use a curated challenge Pick by algorithm target, difficulty, scoring mode, and recommended use. 2 Edit or clone a scenario Start from a template or curated case, then validate before composing a pack. 3 Compose a custom pack Snapshot valid scenario drafts into an immutable challenge pack. 4 Verify an existing package Open a completed job runbook, download the verifier, and copy exact commands.

Authoring breadth

A test space, not a single waveform

A starter pack is one validated slice. Build deterministic tests across timing, physiology, modulation, artifacts, targets, and output contracts.

Open scenario editor
142authoring fields
71catalog entries
20artifact families
16verification targets

Time, sampling, repeatability

0.01 seconds to 24 hours, 100 Hz to 1 MHz, standard presets, deterministic 64-bit seeds, and controlled randomization.

ECG rhythm and morphology

Rate and RR variation, ectopy, rhythm/conduction patterns, episodes, pacing, and parameterized 12-lead morphology where supported.

HRV and physiology modulation

SDNN and LF/HF structure, respiratory frequency/amplitude, RR bounds, and activity-linked modulation.

PPG timing and shape

Pulse delay, rise/decay, dicrotic shape, perfusion, weak/missing pulses, jitter, amplitude modulation, and PTT variation.

Noise and device faults

Baseline, powerline and EMG noise; dropout, saturation, motion, drift, clipping, quantization, lead/electrode and sensor faults.

Ground truth and evidence

Point, interval, delineation, HRV, QTc, morphology, optical, variability, respiratory and burden targets with manifests, fingerprints, provenance, reports, and local scoring.

The condition catalog explicitly distinguishes native, parameterized, and catalog-only support. Unsupported combinations are rejected.

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Choose a challenge pack

Start from the algorithm output or measurement. You do not need to know pack IDs.

1 Algorithm output2 Test intent3 Recommendation4 Generate
Step 1

What does your algorithm output?

Choose one primary output. Synsigra prioritizes packs with local automated scoring over reference-only coverage.

Noise is a test condition, not automatically an output. Choose Signal quality only if your algorithm returns quality or artifact intervals; for a peak detector under noise, choose R-peak here and Stress / robustness next.

Step 2

How do you want to test it?

Advanced pack filters

Optional technical constraints. Leave these open-ended unless you already know the scoring contract or difficulty you need.

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Other matching packs

Generate challenge package

Confirm project and pack, then create a job. The next step is the Jobs page.

Change pack

Generation produces the complete challenge export set, including provenance and engineering claim-boundary artifacts. Format options are not configurable per job.


      

    


    

      

        

          
Jobs

          
Watch progress, then open the verification runbook for completed jobs.

        

        

          
          
        

      

      
The list polls in place. Download a completed ZIP, run your algorithm locally, then score its outputs with the verification helper.

      

      
    

    

      

        

          
Verification runbook

          
A completed-job checklist with exact downloads, filenames, commands, and archive guidance.

        

        
      

      
Sign in and complete a job to open a runbook.

    

    

      

        

          
Local verifier downloads

          
Install synsigra-verify without cloning the generator repository.

        

        
      

      
Boundary: these downloads contain only the Python verifier package and helper scripts. They do not include the C++ generator or generator source.

      
Sign in to download the verifier.

    

    

      

        
Usage

        
      

      
Sign in to inspect usage.

    

    
    

      

        

          
Scenario drafts

          
Template-assisted authoring remains form-first, with raw JSON available for advanced edits.

        

        

          
          
        

      

      

        1 Goal2 Starting point3 Tune & validate4 Compose pack
      

      
First choose what your algorithm outputs. Synsigra then narrows the starting points and form controls without removing any advanced capability.

      
No PHI: use synthetic engineering scenarios only. Do not enter patient identifiers, clinical notes, personal data, or diagnostic claims.

      

        Step 1
        
What should your algorithm detect or measure?

        
Choose every output you want this scenario to exercise. This intent is saved with the draft and inherited by its custom pack.

        

        
Choose at least one target to see compatible starting points.

      

      
      

        Step 3
        
Tune and validate

        

        
Choose a target and starting point to preview package output.

      

      
      
      

        Advanced JSON editor
        
Use raw JSON for fields that are not yet represented by form controls. Form edits round-trip through this document.

        
        
      

      

        
        
        
        
      

      

      

    

    

      

        

          
Custom pack composer

          
Select valid scenario drafts, review targets, then snapshot them into an immutable pack.

        

        
      

      

        1 Goal2 Scenario3 Pack4 Generate
      

      
No PHI: pack names and descriptions must not contain patient data, personal identifiers, clinical notes, or diagnostic-use claims.

      
1. Choose scenario drafts

      
      
      
Select at least one valid draft. The resulting pack snapshots its scenarios; later draft edits do not alter it.

      

      
2. Inherited verification goal

      
Select a scenario to inherit its verification targets.

      

        Advanced target override
        
Normally the pack inherits the intent saved with its scenarios. Override only when you deliberately need a different combined contract.

        

      

      
3. Review and create

      
      
      
      
      
Select scenarios and targets to preview coverage.

      
      

      

    

    

      
AI-native workflow

      
Connect an AI assistant to Synsigra

      
Describe the algorithm behavior you want to prove. The Synsigra MCP server can discover the live catalog, identify scoreable targets, design custom scenarios when needed, generate a package, and guide local scoring.

      
Your code stays local. The assistant downloads synthetic challenge data and explains the submission contract. Your proprietary algorithm and completed outputs are not uploaded to Synsigra. Never send PHI or patient data in a prompt.

      

        
1Create one API keyOpen Account, create a personal key, and save the secret when it is shown once.

        
2Add the remote MCP serverUse Streamable HTTP and send the key as an Authorization Bearer header.

        
3Describe the proof you needThe assistant compares scoreable coverage and asks before it creates a quota-consuming job.

        
4Verify locallyRun your algorithm against challenge/, populate submission/, then run the exact synsigra-verify recipe.

      

      
Connection

      

        
Transport
Streamable HTTP · stateless

        
Endpoint
https://www.timeonion.com/syn_sig_ra/mcp

        
Authentication
Authorization: Bearer YOUR_API_KEY

        
Protocol
MCP 2025-11-25, with 2025-06-18 and 2025-03-26 negotiation

      

      
Create or manage API keys

      

        Generic remote-server configuration
        
Client configuration formats vary. Choose Streamable HTTP, use the endpoint above, and configure the secret outside source control. This illustrative shape shows the required values:

        
{
  "mcpServers": {
    "synsigra": {
      "type": "streamable-http",
      "url": "https://www.timeonion.com/syn_sig_ra/mcp",
      "headers": {
        "Authorization": "Bearer ${SYNSIGRA_API_KEY}"
      }
    }
  }
}

      

      
Prompts that work well

      

        
Peak and interval validation
“I need to prove that my sampled-ECG detector finds R peaks and calculates RR, HR and HRV metrics such as LF, HF, SDNN and RMSSD correctly. Recommend the smallest scoreable challenge and generate it after I approve it.”

        
Noise and rhythm stress
“Create a 3-minute, 500 Hz ECG stress test for peak detection with several coherent noise and arrhythmia cases. Explain which outputs are automatically scored and use custom authoring if no curated pack matches exactly.”

      

      
What the assistant can do

      
It can recommend and inspect curated packs; list projects and jobs; create and monitor generation jobs; rebuild expired packages exactly; fetch live core authoring schemas and templates; clone, preview and save scenarios; compose custom packs; and return a job-specific download and verification runbook.

      
Job creation, exact rebuilds, scenario saves and custom-pack creation are declared as modifying MCP tools. A capable client can show an approval prompt before invoking them. API roles, quotas, audit behavior and errors are identical to the web/API workflow.

    

    

      
Documentation

      
Expert/API reference, raw contracts, troubleshooting, and manual workflows.

      
One-page quickstart

      
Rendered API reference

      
Troubleshooting guide

      
MCP assistant setup

      
Private Beta Terms

      
Privacy & No-PHI Notice

      
Support, availability & billing

      
Request a technical demo

      
Full user manual

      
Live OpenAPI YAML