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Reproducibility Manifest Builder
x402
Reproducibility Manifest Builder is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010019/call, status unknown (last checked 2026-10-15).
Generates a reproducible research handoff manifest from supplied public or synthetic artifact contents, dependencies, algorithm version, random seed, and run parameters.
Price / call$0.010019
Success—
StatusUnknown
How this service works
Prepare a reproducible research handoff from supplied public or synthetic artifact contents, dependencies, algorithm version, seed and Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
A structured reproducibility manifest document capturing artifact references, algorithm version, random seed, run ID, parameters, and data class — formatted as a handoff record enabling others to understand and re-run the described experiment using the same declared inputs.
Example use cases
ML model training handoff
“Prepare a reproducibility manifest for my model training run 'gpt-finetune-v3' using algorithm version 'transformers-4.38.0', random seed 123456789, with public data class — include three artifacts: the checkpoint file, config JSON, and eval log.”
Synthetic data pipeline documentation
“Generate a reproducibility handoff for my synthetic data generation pipeline, run ID 'synth-pipeline-2024-07', algorithm version 'sdv-1.12.1', seed 999999999, data class synthetic, with the generated CSV and schema file as artifacts.”
Research experiment sharing
“Create a reproducibility manifest for my experiment 'ablation-study-run-05' — algorithm version 'pytorch-2.2.0', seed 42, public data class, artifacts are the model weights and results CSV, and I have five parameter entries describing my training config.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/verify/provenance/reproducibility-manifest?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to package a research run into a structured, shareable reproducibility manifest — especially when working with public or synthetic datasets and needing to declare algorithm version, random seed, and artifact inventory. Not suitable for independent third-party certification; use for researcher-authored provenance documentation and handoff.
Side effects
- Missing required algorithmVersion field returns validation error
- Artifacts array empty or exceeds 64-item limit returns schema rejection
- Seed value outside 0–4294967295 range fails validation
- dataClass enum value not 'public' or 'synthetic' causes rejection
- runId exceeding 80 characters returns length validation error
- Parameters array exceeding 32 items causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| seed | integer | |
| runId | string | |
| artifacts | array | |
| dataClass | string | |
| parameters | array | |
| algorithmVersion | string |
Tags
x402
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