About Receptiviti
What Receptiviti is
Receptiviti is a language analytics API that scores text on more than 200 psychological measures across about a dozen frameworks. The science core is LIWC (Linguistic Inquiry and Word Count), the dictionary-based method first developed by Dr. James Pennebaker at the University of Texas in the 1990s. Receptiviti was co-founded by Pennebaker and Jonathan Kreindler to take that science out of the lab and behind a commercial API.
A request submits one or more text snippets and gets back per-framework scores: Big Five personality with 30 facets, DISC, leadership style (agentic and communal), needs and values, drives and motivations, 14 discrete emotions, social dynamics like authenticity and confidence, cognition signals such as analytical thinking and cognitive load, indicators tied to stress, anxiety and burnout, plus toxicity and hate-speech detection. The API exposes single and bulk variants for both raw frameworks and combined scores, with example clients in Python, R and cURL.
Teams plug Receptiviti into customer-feedback corpora, employee survey free-text, candidate writing samples, support transcripts and risk-monitoring streams. Customers shown on the Receptiviti site include NASA, The New York Times, Sun Life, RTX and the Federal Reserve Bank of New York. Note that LIWC is a dictionary, not a verdict: the data the API produces is a profile, useful for spotting patterns at scale, not a clinical assessment per person.