# Alector

**Canonical:** https://apis.io/providers/alector/  
**Website:** http://alector.com  
**APIs profiled:** 0

Alector is a clinical-stage biotechnology company developing immuno-neurology therapies for neurodegenerative diseases, including frontotemporal dementia (FTD), Alzheimer's disease, and amyotrophic lateral sclerosis (ALS). Combining human genetics, neuroscience, and immunology, the company designs potential first- and best-in-class medicines that remove toxic proteins, replace deficient proteins, and restore immune and nerve cell function. Alector was added to the API Evangelist network as a GV portfolio company; it publishes no public developer API, SDK, or documentation surface, so this profile captures corporate and domain-security signals only.

## Kin Score — 10.2 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 10.2).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 6.0 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

Regulatory layer — **Health**: 17.5 (matched via tags).

## 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 |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Alector Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Life Sciences, Biotechnology, Neuroscience, Neurodegeneration, Immunology, Therapeutics, Drug Development

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