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Seeded Synthetic Artifact Generator
x402
Seeded Synthetic Artifact Generator is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.10001/call, status unknown (last checked 2026-10-16).
Generates 16–256 synthetic sine/noise samples with seeded LCG noise and configurable artifact patterns (blinks, spikes, dropouts) for testing purposes
Price / call$0.10001
Success—
StatusUnknown
How this service works
Generate 16–256 original synthetic sine/noise samples with seeded LCG noise and declared nonoverlapping blink-like pulses, single-sample spikes or dropouts. Returns artifact labels in arbitrary synthetic units. Toy test data only, not physiological simulation or third-party research data; no participant signals. New modular adapter: retained result recovery for 24 hours, minimal receipt metadata for 90 days. Existing live route unchanged.
Output
Returns an array of 16–256 floating-point synthetic samples in arbitrary units generated by a seeded LCG noise function combined with a sine wave, plus a parallel array of artifact labels indicating which samples contain declared blink-like pulses, single-sample spikes, or dropouts. Results are retained for 24 hours; minimal receipt metadata is retained for 90 days.
Example use cases
Reproducible unit test fixture generation
“Create 64 synthetic samples with seed 12345, sample rate 512 Hz, frequency 5 Hz, amplitude '0.8', noise amplitude '0.1', and add one spike and one dropout artifact — I need deterministic test data I can use in my unit tests every time.”
Algorithm stress-testing with heavy artifacts
“Generate 256 synthetic samples seeded at 9999, sample rate 1024 Hz, frequency 20 Hz, amplitude '2.0', noise amplitude '0.5', and inject 4 blink pulses and 2 spikes so I can stress-test my artifact-detection algorithm.”
Minimal baseline waveform for CI pipeline
“Give me the smallest valid synthetic waveform — 16 samples, seed 0, sample rate 16 Hz, frequency 1 Hz, amplitude '1.0', noise amplitude '0.05', no artifacts — labeled as synthetic, so my CI pipeline has a baseline to compare against.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/neural/synthetic-artifacts?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, reproducible synthetic waveform data with precisely controlled and labeled artifacts for unit testing, CI pipelines, or algorithm validation. It is ideal when you need seeded randomness so tests are repeatable, and when you want artifact positions explicitly declared rather than inferred. Not suitable for physiological simulation, real sensor data, or research-grade datasets.
Side effects
- sampleCount outside 16–256 range returns validation error
- sampleRateHz outside 16–4096 range returns validation error
- seed exceeding 4294967295 returns validation error
- more than 8 artifact definitions provided returns validation error
- dataClass not set to 'synthetic' returns validation error
- amplitude or frequencyHz strings exceeding 13 characters return validation error
- malformed artifact definitions return schema validation errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| seed | integer | |
| amplitude | string | |
| artifacts | array | |
| dataClass | string | |
| frequencyHz | string | |
| sampleCount | integer | |
| sampleRateHz | integer | |
| noiseAmplitude | string |
Tags
x402
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