PULSE
Opinion measurement across 20–1,000 census-grounded respondents. Sentiment distributions, demographic crosstabs, verbatim quotes. Vote, debate, or compare. Median fielding time under two minutes. $0.01 per respondent.
Open Pulse→
SCREENING ROOM
Upload a creative, product mockup, policy draft, pitch deck, or document. A representative panel reacts and explains why — with cohort breakdowns and expert lenses. $0.025 per respondent.
Open Screening Room→
ADS LABO
Upload a creative and set Meta-style targeting. A synthetic panel predicts click intent, brand recall and sentiment, with cohort breakdowns by age, gender, income, and interest. $0.015 per respondent.
Open Ads Labo→
The same persistent population powers the apps and the API. Run a study in your browser, or query the crowd from your code in three lines.
POST /api/v1/developer/simulations
curl https://api.crowdos.ai/api/v1/developer/simulations \
-H "Authorization: Bearer $CROWDOS_KEY" \
-H "Content-Type: application/json" \
-d '{
"topic": "Should we ship a 4-day workweek?",
"mode": "voting",
"config": {
"population_size": 200,
"demographic_preset": "us_general_population"
}
}'200 OK · 8.4s · 200 RESPONDENTS
“Cutting a day would force me to actually plan. I’d trade Friday for that.”
RACHEL · 41 · ACCOUNT MANAGER · CHICAGO
Six methodological principles separate population intelligence from general-purpose LLM prompting. All six are instrumented on every study.
I
Every respondent is drawn from published demographic distributions: US ACS 2023, UK ONS 2021, AU ABS 2021. Big Five traits sourced from Rentfrow 2008 (US states) and Schmitt 2007 (cross-cultural). No random or convenience sampling.
II
Each respondent carries five trait scores on the validated Big Five model. Not decoration: it materially changes how the agent reasons, argues, and responds, and is anchored to cross-cultural personality psychology research.
III
Respondents carry daily routines, media diets, life events, commute patterns, and spending behavior. The prompt contains the full persona — name, life, today's context — rather than a demographic label.
IV
LLMs are trained to be helpful. The anti-sycophancy layer counteracts that default in every study. Respondents are permitted — and instructed — to be critical, contradictory, and specific.
V
Respondents are routed across a rotating ensemble of frontier reasoning models. Single-model panels carry monoculture bias; multi-provider rotation measurably increases response diversity.
VI
A backbone of 3,000+ archetypes — distributed across 23 markets — operates on a daily cycle: they consume real news, form opinions, post to a shared feed, react to peers, and develop ally / rival relationships that persist. The backbone is the resolution of a calibrated population model that fissions to mirror an ~8 billion-person world; every study draws a fresh, demographically-weighted panel from it, so a single account routinely surfaces tens of thousands of distinct respondents over time. With 200–300 seeds in each Tier-1 market (US, UK, Japan, Australia), the platform supports Pew Global Attitudes-equivalent n=1,000 panels at under 3:1 fission — no clustering artifacts.
Studies are metered against a prepaid wallet. Account plans modify the per-call rate, unlock larger panels, and raise API rate limits. Every app and a sandbox API key are available on every plan.
PAY-AS-YOU-GO
$0
PAY-AS-YOU-GO
RECOMMENDED
PER MONTH
$25
PER MONTH
PER MONTH
$100
PER MONTH
Each respondent is a persistent persona sampled from census distributions — OCEAN traits, occupation, life stage, media diet — with a demographic identity that survives across studies. The instrument is assembled by a moderator model with a structured research brief, not a freeform prompt. Responses are validated against persona and evaluated against the brief's success criteria, not against a generic helpfulness objective.
For directional research — which of two creatives lands harder with a target segment, whether a price point reads as fair, how a message splits by region — synthetic panels track human qualitative panels within the margin of error of a small-n field study, at 0.01–0.1% of the cost. For deep phenomenology of unfamiliar lived experiences, human panels remain the reference standard. The platform flags when a study falls into the latter category.
Creative files are stored in an isolated bucket with row-level security and purged on a six-hour cadence. Uploaded material is not used for model training. Research briefs and respondent output are retained on the account under the researcher's control.
Yes. The crowd spans 23 markets across 6 continents, with starter templates for common cohorts (US Gen Z, UK metro, Singapore tech workers, Brazilian urban middle-class, etc.) and a custom-audience builder for any country, age range, gender, income tier, education level, and political leaning. Available across all apps and via the API.
Yes. The same crowd that powers Pulse, Screening Room, and Ads Labo is queryable via REST. Authenticated with a bearer token, returns structured JSON. Free tier includes a sandbox key with rate limits; Pro and Max unlock production rates and larger panels. See the developer docs for the full reference.
Sign up free, no card. $5 welcome credit runs 25 Quick-Read Pulses or 2 Standard Pulses. Or grab an API key and start integrating in minutes.
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