Predictive Oncology (Precision Therapeutics)

Predictive Oncology (Precision Therapeutics) is an AI-driven drug-discovery and precision-oncology company. It combines a proprietary biobank of 150,000+ tumor samples with machine-learning models to predict patient and drug responses, develops 3D in vitro tumor models that simulate human tissue environments for drug testing, and offers tumor drug-response testing and genomic profiling to support personalized cancer treatment and improve the probability of success in clinical trials. The company engages partners through direct B2B collaboration and publishes no public developer API, SDK, or developer portal. Surfaced as a portfolio company of Bain Capital Ventures and profiled in the API Evangelist network.

Predictive Oncology (Precision Therapeutics) is profiled on the APIs.io network. Tagged areas include Company, Healthcare, Oncology, Drug Discovery, and Artificial Intelligence.

🌐 Visit website 📡 Source on GitHub
7.7/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyHealthcareOncologyDrug DiscoveryArtificial IntelligenceMachine LearningPrecision MedicineBiotechnology

Kin Score

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scored 2026-07-27 · rubric v0.5
Composite quality — 7.7/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.0 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
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Security Posture 1

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

Predictive Oncology Precision Therapeutics Domain Security

TLSv1.3 · DNSSEC · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Company 1

The organization behind the API

Website
Website

Source (apis.yml)

apis.yml Raw ↑ 
aid: predictive-oncology-precision-therapeutics
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/predictive-oncology-precision-therapeutics.png
name: Predictive Oncology  (Precision Therapeutics)
description: Predictive Oncology (Precision Therapeutics) is an AI-driven drug-discovery and precision-oncology company. It
  combines a proprietary biobank of 150,000+ tumor samples with machine-learning models to predict patient and drug responses,
  develops 3D in vitro tumor models that simulate human tissue environments for drug testing, and offers tumor drug-response
  testing and genomic profiling to support personalized cancer treatment and improve the probability of success in clinical
  trials. The company engages partners through direct B2B collaboration and publishes no public developer API, SDK, or developer
  portal. Surfaced as a portfolio company of Bain Capital Ventures and profiled in the API Evangelist network.
url: https://raw.githubusercontent.com/api-evangelist/predictive-oncology-precision-therapeutics/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- bain-capital-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Healthcare
- Oncology
- Drug Discovery
- Artificial Intelligence
- Machine Learning
- Precision Medicine
- Biotechnology
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/predictive-oncology-precision-therapeutics-domain-security.yml
- type: Website
  url: https://predictive-oncology.com/
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 1
  pass: local-v1