200+ psychological dimensions from a single POST request.
Submit text. Receive structured, validated psychological scores in under 65ms. No model inference - explicit measurement derived from language.
Available as a production API.
On-prem containerized deployment available.
QUICKSTART
One endpoint. Plain text in, structured scores out.
A single POST to
api.receptiviti.com/v2/analyze
returns scores across 200+ dimensions. Authentication is Basic Auth — API key and API secret, both available from your dashboard.
D​efault norming contexts, plus custom norms scored against your own reference population:
WRITTEN NORMS
Conversational text, survey responses, social media, blog posts
SPOKEN NORMS
Transcribed conversations, calls, interviews, conversational language
CUSTOM NORMS
Calibrated to your reference population — norm scores to your user base, domain, or interaction context.
Norming details in the API reference.
CLOSING THE LOOP
The response is valid input for your next call.
No separate endpoint, no retraining — scores returned from Receptiviti can be supplied as context on the model's next turn.
Because the score is logged before it's used, you can audit exactly what the system responded to.
BEFORE YOU SUBMIT
What to send. What to strip. What the API expects.
The API accepts plain English text, UTF-8 encoded JSON. Raw text works best — no need to tokenize, lemmatize, stem, or remove stop words. Strip anything that isn't natural language before submission.
Include
content
Plain text, UTF-8, English. Raw and unstemmed — no need to tokenize, lemmatize, or remove stop words.
Strip
HTML · code · email headers & footers
Non-language content that adds noise without signal. Strip before submitting — the API scores language, not markup or metadata
Include
emojis
Scored. Carry affective signal — don't strip them.
Via translation
non-English source text
Machine-translate first. Validated for languages sufficiently similar to English — research available on request.
Full data preparation guide in the API reference.
PACKAGES AND INTEGRATION
Python and R packages available.
Official packages streamline integration — handle auth, serialization, and response parsing out of the box. Both are maintained and documented separately.
PERFORMANCE
Production-ready at scale.
Single-text requests return in under 65ms. Bulk processing submits multiple texts in a single POST, with synchronous response — designed for pipeline integration, not just one-off queries
<65ms
Per-request latency in production
Bulk
Multiple texts per POST, synchronous response
DEPLOYMENT & PRIVACY
Cloud API or containerized on-prem — your data doesn't have to leave your environment.
For privacy-sensitive deployments, Receptiviti is available as a containerized on-prem installation. Same API, same scores, same latency — running entirely within your infrastructure.
On-prem containerized deployment
Available for privacy-sensitive environments. No data leaves your infrastructure. Contact us to discuss deployment options.
DOCUMENTATION
Everything you need to evaluate and integrate.
API reference
Endpoints, authentication, request/response schema, error codes, rate limits.
Frameworks & dimensions
Fill reference for all 200+ measures - definitions, ranges, and interpretation guidance.
Data preparation
What to include, what to strip, how to structure text for best results.