Your demo request is with the SEER team. We'll reach out within 2 business hours to lock in a time that works for you. In the meantime, everything you need to prepare is below.
pip install cadence-seer
and wrap one of your existing model calls with
client.observe(). You'll have real observability data to look at before the
call starts. There's no pressure to do this — the demo works
fine either way.
seer
object returned inline from an actual API call, including live
quality scores, cost, latency, and anomaly flags. We'll map
what you saw to your specific use case. Ask anything —
architecture, pricing, roadmap, integration time. Nothing is
off the table.
We'll map SEER's support to what you're using. It helps to know which models you're calling — GPT-4o, Claude, Mistral, Llama via Bedrock, etc. — and roughly how many calls per day.
The demo is most useful when it focuses on a real problem. Is it quality drift you can't see? Unexpected cost spikes? Latency you can't explain? Bring the specific thing that keeps you up at night.
Are you using LangChain, LlamaIndex, CrewAI, or calling the model API directly? We'll show you the exact integration pattern for your setup — one import, one callback, or two lines of code.
Running even one observed call before the demo gives you real data to talk about. It takes under 5 minutes.
Covers every endpoint, every field in the seer response object, and has copy-paste examples in Python, Node.js, and cURL. Written to be readable, not just technically complete.
View API Docs →The changelog covers every release in plain English — what shipped, what improved, what was fixed, and what's coming. Updated with every release.
View Changelog →If security and data handling are part of your evaluation criteria, our security page covers encryption, data isolation, retention, sub-processors, and compliance status.
View Security →Email the team directly. We respond to everything.