# Sagimet Biosciences

**Canonical:** https://apis.io/providers/sagimet-biosciences/  
**Website:** https://www.sagimet.com/  
**APIs profiled:** 0

Sagimet Biosciences is a clinical‑stage biopharmaceutical company developing novel fatty acid synthase (FASN) inhibitors that target dysfunctional metabolic and fibrotic pathways. Its lead product candidate, denifanstat, is an oral, once‑daily selective FASN inhibitor intended for conditions such as acne, metabolic dysfunction‑associated steatohepatitis (MASH), and certain FASN‑dependent solid tumors. The company has received IND clearance and plans to advance denifanstat into a registrational Phase 3 trial in moderate to severe acne patients in the second half of 2026.

## Kin Score — 7.9 / 100 (minimal)

Scored 2026-10-31 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 39.3 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 21.1 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 13.7 (matched via fallback).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## Security (1)

- **Sagimet Biosciences Domain Security** — TLSv1.2 · DMARC

## Tags

Fatty Acid Synthase Inhibitors, Dermatology, Metabolic Disease, Oncology

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/sagimet-biosciences/). Scores are computed from the provider's own public artifacts under a published rubric.