When your agent researches something properly, it fans out subagents inside your session — frontier tokens for every page it reads, tens of minutes of waiting, and the whole thing dies if you disconnect. Sicut takes that job off your session and runs it on whichever inference you point it at. Ours, or your own account, at your own rate.
Head-to-head below, against a real Claude fan-out on the same question.
Sicut enim maius est illuminare quam lucere solum, ita maius est contemplata aliis tradere quam solum contemplari.
For as it is greater to illuminate than merely to shine, so it is greater to pass on to others the things contemplated than merely to contemplate.
— Thomas Aquinas, Summa Theologiae
Every hosted research API bills you for their model. Sicut treats inference as a setting. Point it at Cerebras, OpenAI, Anthropic, OpenRouter, or a model running on your own hardware — it is a base URL and a key, and the bill goes to your provider at your rate.
Already have Cerebras credits, an enterprise OpenAI contract, or a box with a model on it? Use them. Sicut works out which model serves which stage from whatever you connect.
Every step is journalled. Close the laptop, drop the connection, come back tomorrow — the job kept running and the stream replays from where you left it. A killed job resumes without re-paying for work already done.
Reading, deduplication and extraction happen server-side on cheap fast models. Your agent gets back a distilled, cited answer — not ninety fetched pages sitting in the window, re-read on every turn.
If you would rather not think about it, use the inference we operate and pay per job. The choice is a radio button, not an architecture.
A Claude subagent fan-out against Sicut, on one real question with a sixteen-party answer. These are recorded runs, not projections.
| Agent fan-out | Sicut | |
|---|---|---|
| Wall clock | 832 s | 182 s |
| Cost | ~$1.17-2.93 | $0.68 |
| Runs after you disconnect | no | yes |
| Runs on your own inference | no | yes |
| Pages held in your context | all of them | none |
| Quotes verified against the source | none | 406 of 406 |
The fan-out's cost is a range because it depends which frontier model is driving. Sicut's is what the run actually billed, inference and search itemised per call. On a bring-your-own plan the inference half of that is your provider's rate, not ours.
Cheaper and faster is worth nothing if the report is confidently wrong. Every
claim Sicut returns is anchored to a verbatim quote, located in the source document by byte
offset — body[start:end] == quote holds, or the claim does not ship. When a
search backend refuses, the report says a backend refused rather than letting silence read as
an absence of evidence.
Pricing is being set now and will be published before access opens. What is already decided is the shape.
A subscription. You connect your provider.
Flat monthly, plus search at costPriced at launch
Pay per job. Nothing to set up.
Our all-in cost, plus a marginPriced at launch
Sicut is a remote MCP server. Your assistant starts a job, polls it, and reads back the finished report without you opening a browser.
claude mcp add --transport http sicut https://sicut.ai/mcp \ --header "Authorization: Bearer <your token>"
There is also a page written for the assistant rather than for you — point it at that URL and it will work out the rest.
Sicut is running in production and is being opened a few people at a time. Leave an address and we will send an invite code when a place frees up.
Already have an invite code? Redeem it here.