Get the data

/api/public/cases returns every published case, 200 per page, with the licence stated in each response. Filter with ?page=, ?year= and ?category=. CORS is open, so it works from a browser.

fields

ref, url, title, date_of_incident, company, category, incident_type, severity, location, escalation_stage, sources

rate

Be reasonable. Pro adds an API key with 1,000 requests a day, filtered exports and capture dates.

The whole register as flat files, refreshed every day at 08:00 UTC, with a README that explains every column:

GitHub

https://github.com/vzolot/machine-record-data

CSV

https://raw.githubusercontent.com/vzolot/machine-record-data/main/data/cases.csv

Hugging Face

https://huggingface.co/datasets/Vzolot/machine-record

Kaggle

https://www.kaggle.com/datasets/volodymyrzolotukhin/commercial-robot-incidents

import pandas as pd
cases = pd.read_csv("https://raw.githubusercontent.com/vzolot/machine-record-data/main/data/cases.csv")
cases[cases.company == "Waymo"].groupby("severity").size()

The dataset has a DOI that always resolves to the latest archived release: 10.5281/zenodo.22925531. Cite a single case by its reference and permanent URL, for example TMR-0238 and its case page.

The Machine Record (2026). The Machine Record: incidents involving commercial
physical robots [Data set]. Zenodo. https://doi.org/10.5281/zenodo.22925531

all cases

https://themachinerecord.com/feed.xml

one company

https://themachinerecord.com/company/waymo/feed.xml, and the same for any company slug

weekly digest

https://themachinerecord.com/digest, one email every Monday

If you build on the data, this badge links back to the register and tells your readers where the numbers come from:

[![Data: The Machine Record](https://themachinerecord.com/badge.svg)](https://themachinerecord.com)

Questions about the data, and requests for slices that are not on the site, go to hello@themachinerecord.com. See also the licence and the methodology.