A-Alpha Bio
A-Alpha Bio is a Seattle biotechnology company, founded in 2017 out of the University of Washington's Institute for Protein Design and Center for Synthetic Biology, that measures, predicts and engineers protein-protein interactions. Its experimental platform AlphaSeq reprograms yeast mating to quantify millions of protein-protein binding affinities in a single experiment, and its computational platform AlphaBind is a domain-specific deep-learning model trained on hundreds of millions of those affinity measurements to predict and optimize antibody-antigen binding from sequence. In July 2026 the company launched Atlas, a web platform and data ecosystem that publishes ML-ready protein interaction "Data Blocks" for licensing, custom on-demand data generation, and a quarterly-release Atlas Consortium whose founding members include GSK, Boltz, Cradle and Dyno Therapeutics. Atlas is backed by a public HTTP API — the Data Product API at api.atlas.aalphabio.com — which serves dataset discovery, dataset metadata and structured Data Cards anonymously, and gates CSV data, CSV schemas and structure (.cif) files behind a bearer token issued through AWS Cognito sign-in.
A-Alpha Bio publishes 1 API on the APIs.io network: Datasets API. Tagged areas include protein-interactions, biotechnology, drug-discovery, antibody-engineering, and synthetic-biology.
A-Alpha Bio’s developer surface includes signup flow, engineering blog, product news, support, authentication, CLI, and 24 more developer resources.
Kin Score
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
A-Alpha Bio Datasets API
The Datasets API from A-Alpha Bio — 9 operation(s) for datasets.
Open Collections 2
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONA Alpha Bio Datasets API
OPEN COLLECTIONMCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
a-alpha-bio-mcp.yml
MCP SERVERJSON Schema 3
Standalone JSON Schema definitions for this provider's data models.
Examples 3
Example request and response payloads for these APIs.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 3
Portal, sign-up, and the first successful call
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 8
The organization behind the API
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Other 1
Properties that don't map to a standard resource type