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 contract indexed on the APIs.io network: Datasets API. Tagged areas include protein-interactions, Biotechnology, Drug Discovery, Antibody Engineering, and Synthetic Biology.

The A-Alpha Bio catalog on APIs.io includes 1 Spectral governance ruleset.

A-Alpha Bio’s developer surface includes signup flow, engineering blog, product news, support, authentication, CLI, and 24 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

35.8/100 thin ▬ flat Agent 28/100 agent aware Front door AI 3/6 light Heartbeat 0/100 dormant open core · MIT Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

2 published contracts 2 Agent Skills

protein-interactionsBiotechnology Drug Discovery Antibody Engineering Synthetic Biology Machine Learning Training Data Data Licensing Life Sciences Datasets Protein Design Bioinformatics

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 35.8/100 · thin

Contract Quality 12.9 / 21

Developer Ergonomics 4.8 / 17

Access Clarity 3.6 / 17

Operational Transparency 0.3 / 11

Contract Governance 1.9 / 10

Discoverability 6.3 / 9

Regulatory Posture 2.8 / 15

Agent readiness — 28/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 6 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 9 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 4 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 0 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Health regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics does not apply to this provider. The published contracts declare no write operations, and a read-only API cannot create-or-update. The facet is excluded from this provider's denominator entirely — not scored zero. A reference or data API is not deficient for being unable to upsert.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)

6 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Access Clarity scores 21.1 — up to +15.8 composite points
Developer Ergonomics scores 28.0 — up to +14.4 composite points
Operational Transparency scores 2.6 — up to +12.7 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/a-alpha-bio/apis.yml: open an issue on github.com/api-evangelist/a-alpha-bio to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Chemistry and Materials (chemical data depositors, materials-data APIs)	undeclared	-	-	-
GA4GH Genomics Standards (htsget, DRS, TES, WES, Beacon, Passports)	undeclared	-	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

OpenAPI

measured — observed by APIs.io (published)

OAuth 2.0

measured — observed by APIs.io (declared)

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 1

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

A Alpha Bio Datasets API

OPEN COLLECTION

Agent Skills 2

Packaged agent skills for driving this provider's APIs from an AI assistant.

browse-atlas-catalog

AGENT SKILL

load-data-block-into-pandas

AGENT SKILL

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

A-Alpha Bio API Rules

48 rules · 44 errors 3 warnings 1 info

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

A Alpha Bio Atlas Datasets Overlay

12 actions · servers · a-alpha-bio-atlas-datasets-openapi.yml

DERIVED

JSON Schema 3

Standalone JSON Schema definitions for this provider's data models.

DatacardResponse

3 properties

JSON SCHEMA

DatasetItem

26 properties

JSON SCHEMA

DatasetSchemaResponse

2 properties

JSON SCHEMA

Examples 3

Example request and response payloads for these APIs.

A Alpha Bio Get Dataset Datacard Response

3 fields

EXAMPLE

A Alpha Bio Get Dataset Response

1 fields

EXAMPLE

A Alpha Bio List Datasets Response

1 fields

EXAMPLE

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

A Alpha Bio Authentication

http/oauth2 · 2 schemes

SECURITY

A Alpha Bio Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

SignUp

SignUp

Login

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

X-MCPServerCandidate

X-MCPServerCandidate

LLMsTxt

LLMsTxt

AgentSkill

AgentSkill

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conventions

ErrorCatalog

Lifecycle

Conformance

DataModel

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

SourceCode

SourceCode

CLI

CLI

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 2

Status, limits, changes, and where to get help

IssueTracker

IssueTracker

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

License

License

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 8

The organization behind the API

Website

Blog

BlogRSS

News

About

Careers

Twitter

LinkedIn

Scroll for all 8

Other 1

Properties that don't map to a standard resource type

Overlay

Overlay

Source (apis.yml)

aid: a-alpha-bio
name: A-Alpha Bio
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/a-alpha-bio/refs/heads/main/apis.yml
deliveryModel:
  model: open-core
  license: MIT
  open_source: true
  commercial: true
  callable_host: true
  label: Open core · an OSS project plus a commercial hosted product
  confidence: high
  source:
  - license
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://www.aalphabio.com/icons/icon-512x512.png
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.23'
created: '2026-08-06'
modified: '2026-08-06'
tags:
- protein-interactions
- Biotechnology
- Drug Discovery
- Antibody Engineering
- Synthetic Biology
- Machine Learning
- Training Data
- Data Licensing
- Life Sciences
- Datasets
- Protein Design
- Bioinformatics
tags_raw:
- protein-interactions
- biotechnology
- drug-discovery
- antibody-engineering
- synthetic-biology
- machine-learning
- training-data
- data-licensing
- life-sciences
- datasets
- protein-design
- bioinformatics
- Machine-Learning
apis:
- aid: a-alpha-bio:a-alpha-bio-datasets-api
  name: A-Alpha Bio Datasets API
  description: The Datasets API from A-Alpha Bio — 9 operation(s) for datasets.
  humanURL: https://atlas.aalphabio.com/
  baseURL: https://api.atlas.aalphabio.com
  tags:
  - Datasets
  properties:
  - type: OpenAPI
    url: openapi/a-alpha-bio-datasets-api-openapi.yml
  - type: Authentication
    url: authentication/a-alpha-bio-authentication.yml
  - type: Conventions
    url: conventions/a-alpha-bio-conventions.yml
  - type: ErrorCatalog
    url: errors/a-alpha-bio-problem-types.yml
  - type: DataModel
    url: data-model/a-alpha-bio-data-model.yml
  - type: JSONSchema
    url: json-schema/a-alpha-bio-dataset-item.json
  - type: JSONSchema
    url: json-schema/a-alpha-bio-datacard.json
  - type: JSONSchema
    url: json-schema/a-alpha-bio-dataset-schema.json
  - type: Examples
    url: examples/a-alpha-bio-list-datasets-response.json
  - type: Examples
    url: examples/a-alpha-bio-get-dataset-response.json
  - type: Examples
    url: examples/a-alpha-bio-get-dataset-datacard-response.json
  - type: Portal
    url: https://atlas.aalphabio.com/
common:
- type: Overlay
  url: overlays/a-alpha-bio-atlas-datasets-overlay.yaml
- type: IssueTracker
  url: https://github.com/A-Alpha-Bio/alphabind/issues
- type: License
  name: MIT
  url: https://github.com/A-Alpha-Bio/alphabind/blob/main/LICENSE
- type: DomainSecurity
  url: security/a-alpha-bio-domain-security.yml
- type: Website
  url: https://www.aalphabio.com/
- type: DeveloperPortal
  url: https://atlas.aalphabio.com/
- type: SignUp
  url: https://atlas.aalphabio.com/
- type: Login
  url: https://atlas.aalphabio.com/
- type: Blog
  url: https://aalphabio.substack.com/
- type: BlogRSS
  url: https://aalphabio.substack.com/feed
- type: News
  url: https://www.aalphabio.com/media/
- type: GitHubOrganization
  url: https://github.com/A-Alpha-Bio
- type: Support
  url: https://www.aalphabio.com/contact/
- type: TermsOfService
  url: https://www.aalphabio.com/terms-of-service/
- type: PrivacyPolicy
  url: https://www.aalphabio.com/privacy-notice/
- type: About
  url: https://www.aalphabio.com/about/
- type: Careers
  url: https://www.aalphabio.com/careers/
- type: Twitter
  url: https://twitter.com/AAlphaBio
- type: LinkedIn
  url: https://linkedin.com/company/aalphabio/
- type: SourceCode
  url: https://github.com/A-Alpha-Bio/alphabind
- type: Authentication
  url: authentication/a-alpha-bio-authentication.yml
- type: Conventions
  url: conventions/a-alpha-bio-conventions.yml
- type: ErrorCatalog
  url: errors/a-alpha-bio-problem-types.yml
- type: Lifecycle
  url: lifecycle/a-alpha-bio-lifecycle.yml
- type: Conformance
  url: conformance/a-alpha-bio-conformance.yml
- type: DataModel
  url: data-model/a-alpha-bio-data-model.yml
- type: CLI
  url: cli/a-alpha-bio-cli.yml
- type: X-MCPServerCandidate
  url: mcp/a-alpha-bio-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: LLMsTxt
  url: llms/a-alpha-bio-llms.txt
- type: AgentSkill
  url: skills/_index.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-08-06'
  status: enriched
  artifacts_added: 23
  pass: local-v1

A-Alpha Bio API — frequently asked questions

Does A-Alpha Bio have an API?

Yes. APIs.io lists 1 API from A-Alpha Bio, including A-Alpha Bio Datasets API.

Is there an OpenAPI specification for the A-Alpha Bio API?

Yes. APIs.io indexes 1 OpenAPI specification for A-Alpha Bio, each linked for download from this page.

How do I authenticate with the A-Alpha Bio API?

A-Alpha Bio uses bearer-token authentication (http/oauth2 · 2 schemes). The details are profiled on APIs.io as A Alpha Bio Authentication.

Is the A-Alpha Bio API ready for AI agents?

A-Alpha Bio has a Kin Score of 35.8 out of 100 (thin) and an Agent Readiness score of 27.7 (agent-aware), scored by API Evangelist on 2026-11-06.

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