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B2B Intelligence API

Embed Africa's Most Advanced Clinical AI into Your Platform

Stop building diagnostic AI from scratch. The Cybalife Clinical Intelligence Engine — with resilient enterprise-grade fallback — is now available as a secure, rate-limited REST API your product can call in minutes.

Proprietary Clinical Engine
Azure OpenAI Fallback
NDPA Compliant
50 req / min rate limited

Who it's for

Built for healthcare platforms that move fast

You already have users and infrastructure. Cybalife gives you the Africa-aware diagnostic intelligence you cannot build alone in years.

Telemedicine Platforms

The problem: Your doctors do their best, but remote diagnosis lacks structured clinical depth.

Cybalife solves it: Embed ranked differentials and red-flag detection directly into your consultation flow.

EMR & HIMS Providers

The problem: Your records system captures data but cannot turn it into diagnostic intelligence.

Cybalife solves it: Add an AI triage layer that reads free-text symptoms and returns ICD-10-coded output.

Insurance & HMOs

The problem: Claims assessors rely on subjective provider notes, making fraud detection hard.

Cybalife solves it: Validate diagnostic submissions against an evidence-based differential in real time.

Integration

Up and running in three steps

No proprietary SDK required. Any HTTP client — Postman, cURL, your favourite language — can call the API.

1

Get your API key

Request a key from the Cybalife partner portal. Keys are tier-based — from evaluation (free) to enterprise — and are SHA-256 hashed at rest.

2

POST to /api/b2b/ai/generate

Send structured patient context, free-text symptoms, and a request_type (triage, differential, or treatment) with your x-api-key header.

3

Receive XAI-structured output

Get ranked diagnoses with ICD-10 codes, confidence scores, red flags, evidence citations, and an optional treatment plan — ready to render.

Endpoints

One endpoint, three clinical modes

All modes share the same route and authentication. Switch between them with request_type.

POST/api/b2b/ai/generate
GET/api/b2b/ai/health
request_type
Description
Key output fields
triage
Full severity triage + differential from free-text symptoms
  • severity (emergency / urgent / routine)
  • diagnoses[] with ICD-10 + confidence
  • red_flags[]
  • overall_confidence
differential
Ranked differential diagnosis with clinical reasoning
  • diagnoses[] ranked by confidence
  • ICD-10 codes
  • reasoning per diagnosis
  • red_flags[]
treatment
Evidence-based treatment plan for a given diagnosis or symptom set
  • treatment.items[] (medication / lifestyle / procedure)
  • dosage & duration
  • contraindications[]
  • follow-up guidance

Live Example

From Postman to production

A real triage request for a 34-year-old diabetic patient with respiratory symptoms, and the structured clinical response the engine returns.

Request
POST /api/b2b/ai/generate HTTP/1.1
Host: api.cybalife.com
x-api-key: sk_live_YourApiKeyHere
Content-Type: application/json

{
  "symptoms_text": "Patient presents with fever (38.9°C), productive cough for 3 days, and shortness of breath on exertion.",
  "patient_context": {
    "age": 34,
    "gender": "female",
    "existing_conditions": ["type 2 diabetes"]
  },
  "request_type": "triage"
}
Response
HTTP/1.1 201 Created
Content-Type: application/json

{
  "request_type": "triage",
  "model": "clinical-intelligence-engine",
  "severity": "urgent",
  "diagnoses": [
    {
      "condition": "Community-Acquired Pneumonia",
      "confidence": 0.82,
      "icd10": "J18.9",
      "reasoning": "Fever, productive cough, and exertional dyspnoea in a diabetic patient strongly suggest lower respiratory tract infection."
    },
    {
      "condition": "Pulmonary Tuberculosis",
      "confidence": 0.41,
      "icd10": "A15.0",
      "reasoning": "Nigeria TB burden warrants exclusion in any productive-cough presentation over 2 weeks."
    }
  ],
  "red_flags": [
    "SpO2 may be compromised — assess oxygen saturation",
    "Diabetic patients face higher risk of severe pneumonia"
  ],
  "overall_confidence": 0.79,
  "disclaimer": "Clinical decision support only. Does not replace professional diagnosis.",
  "usage": {
    "inputTokens": 210,
    "outputTokens": 340,
    "totalTokens": 550,
    "responseTimeMs": 1180
  }
}

Explainable AI (XAI) built in

Every diagnosis includes a reasoning field — plain-language clinical rationale referencing the patient's specific context. No black-box outputs. Clinicians and patients can see exactly why the engine flagged a condition, building trust from the first interaction.

Pricing

Start free, scale as you grow

Usage-based pricing mirrors your own growth. Upgrade your tier as call volume increases — no lock-in contracts.

Free

Starter

₦0

Evaluation & prototyping

10 req / min
100 calls / mo
  • Health check endpoint
  • All 3 request types
  • Swagger docs access
  • Community support
Start free
Basic

Growth

Contact us

Early-stage platforms

30 req / min
1,000 calls / mo
  • Everything in Starter
  • Priority queue
  • Usage dashboard
  • Email support
Get access
Most Popular
Professional

Scale

Contact us

Growing platforms

60 req / min
10,000 calls / mo
  • Everything in Growth
  • Advanced clinical routing
  • SLA response guarantee
  • Dedicated onboarding
Get access
Enterprise

Enterprise

Custom

Hospital chains & Gov

120 req / min
Unlimited
  • Everything in Scale
  • Custom model fine-tuning
  • On-premise / private cloud
  • NDPA DPA support
Contact sales

Why Cybalife

Africa-aware, clinician-trusted, production-ready

Africa-specific disease knowledge

Differentials include geographically relevant conditions — malaria, typhoid, TB — alongside NCDs common to the dual-burden context of Nigerian healthcare.

Explainable AI (XAI)

Every suggestion includes plain-language clinical reasoning. Clinicians see the "why" behind every output, addressing the trust deficit that plagues black-box AI in African clinics.

NDPA-compliant by design

SHA-256 key hashing, TLS 1.3 in transit, RBAC, audit logging, and consent workflows are built into the platform — not bolted on.

Dual-model resilience

Cybalife uses layered model routing with automatic fallback for continuity. Your integration keeps receiving stable clinical responses even during provider failover.

Drug safety checks included

Treatment plans automatically include contraindication warnings and dosage guidance, reducing the risk of harmful prescriptions in low-pharmacist-oversight settings.

FHIR-ready roadmap

Architecture is being built to export outputs in HL7/FHIR format, aligning with Nigeria's NDHI national digital health initiative and the Africa on FHIR movement.

Ready to integrate?

Tell us about your platform. We will set up your API key, walk you through the endpoints on a 30-minute call, and have you sending your first live request the same day.

Free evaluation tier
No SDK required
Live in one day