Seb Labs

Use to classify, screen, triage, rank by an explicit rubric, or bulk-label up to 100 independent text states with the same 1–10 typed questions. Each result retains its input index and its own success/error; up to four items run concurrently. Inspect all per-item errors and retry failed items only, not the whole successful batch. Input limits and the account request/token-rate limits still apply. Requires a funded account token; each successful item/question charges input tokens. Not a bulk discount or a single flat-priced request.

Use for evidence/claim support checks, binary screening, rubric scoring, or several related judgments on one text state. Supply 1–10 named questions: choice has 2–20 option keys mapped to descriptions (or null); noul asks a precisely worded positive/yes proposition and returns its probability in [0,1]; score has 2–5 rubric levels ordered low to high and returns a 0-based expected ordinal score with probabilities. Returns typed answers and metered usage without a prose explanation. Include all needed facts; no browsing or retrieval. Requires a funded account token; shared state is metered separately for each question.

Use for a free connection/interface check or a fixed example of enterprise, finance, robotics or handoff decisions. Returns labeled illustrative probabilities, never live inference. No account token is required. Use a paid tool to judge your own input.

Use only for entitled accounts with an enabled dedicated Seb-9B-Fin backend, to judge financial language or supplied point-in-time market context with the same choice/noul/score schema. The public general-model endpoint does not currently enable this specialist. Returns typed model estimates, not investment advice, a forecast guarantee or an executed trade. Missing finance configuration/entitlement returns an error; never assume general-model fallback. Paid input-token metering applies when enabled.

Use for fast single-label classification or routing: ticket triage, intent/topic/sentiment labels, selecting a tool or workflow, guardrail categories or an escalation decision. Supply the relevant context and 2–20 unique option labels (up to 80 characters each); add an unclear/escalate label if appropriate. Returns the selected label and probabilities for every option. No explanation or downstream action. Model-estimated probabilities can be wrong. Requires a funded account token; charges input tokens.