Moral foundations in text, read in the open.

Open models that read moral framing in text, with open weights on Hugging Face and an API any app can attach. Type any text and each sentence is scored as its own block.

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Scores are a classifier's reading of the text, not a measurement of what anyone feels. Moral Foundations Theory is one contested account of morality, and a classifier learns its annotators' readings of it, not right and wrong.

2Open models

8Labels

6Moral foundations

32Texts per request

60Requests per minute

What the scores mean ↗

Build with it

One request. 8 scores.

Call the models through the API, or download the open weights from Hugging Face and run them yourself. Every result names the model and version that produced it.

Read the API guide →

POST /v1/classify

curl https://www.open-morals.com/v1/classify \
  -H "Authorization: Bearer om_live_…" \
  -H "Content-Type: application/json" \
  -d '{"blocks":[{"text":"He kept the money for himself."}]}'