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Python Script Sandbox
Short RDKit, pandas, NumPy and SciPy analyses of your results, run in isolation with no network access
Hardware and price
Price per run
What a typical run reserves from your wallet: the catalog's expected runtime on each piece of hardware × your plan's per-second rate. Larger inputs reserve more, and you're charged only for the seconds the job actually runs.
| Hardware | Typical runtime | Basic | Starter | Pro | Enterprise |
|---|---|---|---|---|---|
| CPUDefault | 3 min | $0.021 | $0.012 | $0.0075 | $0.0045 |
References
The method behind it.
- Pauli Virtanen, Ralf Gommers, Travis E. Oliphant et al. (2020). SciPy 1.0: fundamental algorithms for scientific computing in Python. Nature Methods. doi:10.1038/s41592-019-0686-2 (opens in a new tab)
- Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt et al. (2020). Array programming with NumPy. Nature. doi:10.1038/s41586-020-2649-2 (opens in a new tab)
- Wes McKinney (2010). Data Structures for Statistical Computing in Python. Proceedings of the 9th Python in Science Conference. doi:10.25080/majora-92bf1922-00a (opens in a new tab)
- Greg Landrum, Paolo Tosco, Ricardo Rodriguez et al. (2026). RDKit: Open-source cheminformatics. Zenodo. doi:10.5281/zenodo.591637 (opens in a new tab)
Run via API
Submit it from your own code.
Use an API key from your account. The estimate uses your plan's rates; submitting reserves that amount from your wallet.
# Estimate the reservation for your plan (payload fields: see the API reference)
curl -X POST https://api.cognichem.com/api/v1/jobs/estimate \
-H "X-Api-Key: $COGNICHEM_API_KEY" \
-H "Content-Type: application/json" \
-d '{"job_type": "python-sandbox", "resource": "cpu", "payload": {}}'
# Submit (retrying with the same Idempotency-Key never submits twice)
curl -X POST https://api.cognichem.com/api/v1/jobs/submit \
-H "X-Api-Key: $COGNICHEM_API_KEY" \
-H "Idempotency-Key: $(uuidgen)" \
-H "Content-Type: application/json" \
-d '{"job_name": "python-sandbox-1", "job_type": "python-sandbox", "resource": "cpu", "payload": { ... }}'Custom Modeling
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