Define your ideal customer profile, match real-world profiles into digital twins, and run them against staging — ranked friction clusters before production traffic arrives.
pip install omnisimBeta testers from YC and A16Z
Focused capabilities for defining, deploying, and learning from synthetic users.
Synthetic user testing for APIs and web apps. One run, every journey.
Register a staging product, launch a run, poll results. Real HTTP and Playwright journeys driven by LLM agents.
API & UI journeys · Python & TypeScript SDKs · MCP
Start with the API →Run history, ranked friction reports, and regression compare — no code required.
Recruit. Schedule. Wait weeks. Ship blind.
Digital twins of your ICP, on demand.
Four steps, one run. Ask, replicate, run, report — then ship.
Type what you want to understand. Attach an OpenAPI spec or staging URL for context.
Ideal Customer Profile (ICP) matched to real personas — one digital twin per agent on your API or UI.
HTTP calls and Playwright sessions against staging — every step traced.
Ranked friction clusters and fix hints. See exactly what to change before you ship.
Steps 01–04 run in a single request. Production traffic stops being your test group.
Log in, paste a URL or OpenAPI spec, ask a question. Results in minutes.
Two commands to your first test. Pipe results into any workflow or CI pipeline.
Add OMNISM to Cursor or Claude Code. Test without leaving your editor.
One credit pool. 1 credit = $1. No surprise bills.
For trying it out.
For launch-week validation.
For scaling coverage.
For teams with custom scale, deployment, and security needs.
Every tier comes with a monthly credit grant — 1 credit = $1. Runs draw from that balance based on agents, rounds, and report depth. When it runs out, you upgrade or wait for the monthly reset. No surprise bills.
OMNISM replicates your ideal customer profile — scraped real-world personas run against your staging API, surface ranked friction, and ship fix hints before production.
