22 Best Helium Health API Alternatives & Competitors

1. Chomp Food API

Health Tech, Education

Chomp Food API is a comprehensive food and nutrition database providing normalized, audited data on over 1.2 million grocery products, branded foods, and raw ingredients. The API is built by developers for developers, making it production-ready for food and nutrition applications. Core capabilities: (1) PRODUCT DATABASE - Access 1.2M+ food items including branded foods, grocery products, and raw ingredients with complete nutritional data; (2) BARCODE LOOKUP - Search food products by UPC/barcode codes for quick product identification; (3) INGREDIENT SEARCH - Search foods by ingredient names to find products containing or avoiding specific ingredients; (4) NAME SEARCH - Full-text search by product name to discover foods and their nutritional information; (5) NUTRITION DATA - Complete macro and micronutrient information per serving; (6) DIET FILTERING - Find diet-friendly foods (vegan, vegetarian, gluten-free) and products for specific dietary needs; (7) AUDITED DATA - All data is audited daily ensuring accuracy and quality; (8) CACHING RIGHTS - Ability to cache data (24 hours on Standard, indefinite on Premium); (9) DATA STORAGE - Store normalized data in your application based on plan tier. Perfect for nutrition apps, diet tracking platforms, food delivery services, grocery shopping assistants, meal planning applications, and restaurant menus. The Chomp API differentiates itself through data quality controls. Each product's nutritional data is verified against manufacturer-published nutrition facts panels, reducing the data errors that commonly affect crowd-sourced food databases. For Nigerian health apps where users make dietary decisions based on nutritional data, accuracy is a safety consideration — inaccurate calorie counts can undermine weight management goals and potentially harm users with medical dietary requirements like diabetes management. Allergen flagging within the Chomp database identifies products containing the 14 major food allergens, helping applications surface warnings to users with specific sensitivities. For Nigerian food apps serving users with peanut allergies, gluten intolerance, or dairy sensitivity, allergen data enables proactive warnings before consumption rather than reactive symptom management. The ingredient search capability allows querying for all products that contain or exclude a specific ingredient — building an "avoid palm oil" or "contains groundnuts" filter list for Nigerian users with specific dietary restrictions. Caching rights in the paid plans allow developers to store Chomp data locally in their application database, reducing API call volume for high-traffic applications and enabling offline functionality. For Nigerian mobile apps where users may browse nutritional information while offline at a market or supermarket, locally cached product data continues to function without an active data connection. The tiered caching rights (24 hours on Standard, indefinite on Premium) give developers flexibility to optimize their data freshness strategy against storage and API call costs. The Chomp API also includes a Restaurant API component covering menu items from chain restaurants with standardized nutritional data for franchise menu items. For Nigerian food delivery platforms that partner with international fast food chains present in Nigeria — KFC, Dominos, Chicken Republic — menu item nutritional data from Chomp can populate in-app nutritional information displays, helping Nigerian users make informed choices when ordering. This closes the gap between packaged food nutrition (covered by barcode scan) and restaurant meal nutrition in a comprehensive Nigerian food tracking application.

2. Verbo Health API

Health Tech

Verbo Health API provides AI-powered symptom checking and medical information. The service analyzes symptoms and provides health information and recommendations. Features include symptom analysis, condition matching, and health guidance. Freemium model available. Useful for telehealth apps, health chatbots, and symptom checkers.

3. HealthPlus Nigeria API

Health Tech, eCommerce

HealthPlus Wellness API enables integration with HealthPlus telemedicine and healthcare platform in Nigeria. The service provides access to doctor consultations, health records, and medical services. Features include appointment scheduling, prescription management, and health data storage. Ideal for Nigerian health apps and telemedicine integrations.

4. Spoonacular API

Health Tech, Development Tools

Spoonacular API is one of the most comprehensive food and recipe APIs available, providing access to over 1 million recipes along with detailed nutritional analysis, ingredient parsing, meal planning, and grocery list generation. Unlike simpler recipe databases that only store recipe text, Spoonacular performs active nutritional computation — calculating calories, macronutrients, vitamins, minerals, and allergen flags for each recipe based on ingredient composition and serving size. Recipe search is the primary entry point and offers extensive filtering options. Developers can search by keyword, cuisine type, diet type (vegetarian, vegan, gluten-free, dairy-free, keto), maximum preparation time, maximum calories, included or excluded ingredients, and meal type (breakfast, lunch, dinner, snack, dessert). Cuisine filtering covers Nigerian-relevant categories including African cuisine, as well as Mediterranean, Asian, American, and European categories. The combination of diet and ingredient filters makes it possible to build highly personalized recipe recommenders. The nutritional analysis features are what set Spoonacular apart from free alternatives. Each recipe response includes complete nutrition facts per serving: calories, carbohydrates, protein, fat, saturated fat, fiber, sugar, sodium, vitamins A, C, D, E, K, B6, B12, folate, calcium, iron, potassium, and magnesium. This granular data supports applications that help users meet specific dietary goals — Nigerian diabetes management apps, weight loss platforms, and sports nutrition tools all require accurate nutritional data that goes beyond simple calorie counts. Ingredient parsing converts raw text ingredient strings (like "2 cups all-purpose flour") into structured data with ingredient name, quantity, unit, and preparation notes. This parsing capability allows applications to accept user-submitted recipes in free-text format and automatically extract structured ingredient data for shopping list generation and nutritional computation. Meal planning endpoints generate complete weekly meal plans that satisfy specified calorie and macronutrient targets, with automatic shopping list generation organized by supermarket aisle category. Nigerian health and wellness apps can use this to deliver nutritionist-quality meal plans to users at scale without requiring individual consultation with a dietitian. The wine and cocktail databases are separate API offerings from Spoonacular that complement the core recipe product. Wine pairing recommendations suggest appropriate wine types for specific dishes — Nigerian upscale restaurant apps can use wine pairing data to enhance their menu experience. The cocktail database with ingredient lists and preparation instructions is useful for bar management apps and mixology platforms. For Nigerian corporate catering services and event management companies, Spoonacular's meal planning API provides the foundation for building scalable menu planning tools. When an event company needs to plan menus for 50 different dietary combinations (vegetarian, gluten-free, diabetic-friendly variations of a wedding buffet), the meal planning endpoint can generate compliant options systematically. This automation replaces hours of manual dietary cross-referencing with API calls that return validated, nutritionally-analyzed menu options meeting the specified dietary constraints. Spoonacular's Cooking Equipment API identifies the kitchen tools and appliances required for each recipe — oven, blender, frying pan, mortar and pestle. For Nigerian cooking apps that serve users across different household kitchen setups, filtering recipes by available equipment ensures recipe suggestions are actually executable with what the user has at home. A user without an oven gets different recipe suggestions than one with full kitchen appliances.

5. mCarePoint Health API

Booking, Health Tech

mCarePoint is a Nigerian telehealth platform providing remote medical consultation and healthcare services. The API enables integration with consultation services, doctor networks, and health information. Features include doctor matching, appointment booking, and health record management. Ideal for Nigerian health applications requiring telehealth integration.

6. Google Fit API

Development Tools, Health Tech

The Google Fit API is Google's health and fitness data platform that provides a unified repository for health, fitness, and wellness data collected from Android devices, Wear OS smartwatches, fitness apps, and connected wearable devices. The Fit REST API and Android/iOS SDKs allow applications to read and write fitness data — steps, heart rate, calories, sleep, workouts, weight, blood pressure, and other health metrics — enabling developers to build fitness tracking apps, health coaching platforms, and wellness tools that integrate with the health data users already collect through their devices. The Google Fit data model organizes health data into data types representing specific measurements (step count, heart rate BPM, activity segment), data sources (the specific app or device that recorded the data), datasets (collections of data points for a specific time range), and sessions (structured workout or activity periods with defined start and end times). This organized data model enables applications to accurately attribute health measurements to specific recording devices and distinguish between manually entered data and automatically measured sensor data. Step counting integration through the Fit API is the most widely used health metric for general consumer wellness applications. Android phones and Wear OS devices automatically track steps using built-in motion sensors, and the Fit API aggregates step data from all sensors into a single user-level total. Nigerian fitness app developers building step challenges, walking goal trackers, or physical activity-based reward programs can query daily step totals from Fit without requiring users to manually log their walking activity. Heart rate data from Wear OS devices and compatible heart rate monitors can be read through the Google Fit API for users who have granted the application access. Continuous heart rate monitoring data is valuable for fitness apps analyzing exercise intensity, resting heart rate trends for health monitoring, and meditation or stress apps that use heart rate as a relaxation indicator. Nigerian health and wellness app developers building heart health features can access Wear OS heart rate data through the Fit API rather than requiring a proprietary wearable hardware partnership. Sleep data tracking through Google Fit captures sleep duration and, on supported devices, sleep stage information (light, deep, REM sleep). Sleep quality is increasingly recognized as a critical component of health and performance. Nigerian wellness platforms targeting productivity-focused professionals, corporate wellness programs, and health coaching apps can incorporate sleep data from Fit as an objective health metric in their platforms. Workout session data in Fit captures structured exercise activities — running, cycling, swimming, strength training, yoga — with start time, end time, activity type, and summary metrics (distance, duration, calories). For Nigerian fitness platforms that log user workout histories, provide exercise summaries, or analyze training volume over time, Fit session data provides the structured activity record that workout tracking features are built on. OAuth 2.0 authentication through Google's identity platform protects user health data access. Users explicitly grant specific data type permissions to each application, and applications must request only the minimum permissions necessary for their functionality. Nigerian developers building apps that access Google Fit data must register their application through the Google Cloud Console, configure the Fit API permissions, and implement the OAuth consent flow that clearly explains what health data the app will access and why.

7. OpenFDA API

Health Tech, Education

OpenFDA is a free, publicly accessible REST API developed by the US Food and Drug Administration (FDA) that provides access to millions of records across several critical regulatory datasets: drug adverse events, drug labeling, drug recalls, medical device adverse events, food enforcement reports, and tobacco adverse event reports. While the data originates from US regulatory submissions, OpenFDA is globally accessible and provides valuable resources for Nigerian health tech developers, pharmaceutical companies, and medical researchers who work with drugs and devices that are also sold or used in Nigeria. **What OpenFDA Does** OpenFDA exposes six primary datasets through a unified query API: **1. Drug Adverse Events (FAERS)** The FDA Adverse Event Reporting System (FAERS) contains over 20 million adverse event reports submitted by patients, healthcare professionals, and pharmaceutical companies. Each report describes a drug or biological product suspected of causing a patient's adverse outcome. Searchable by drug name, reaction type, patient demographics, and reporting date. **2. Drug Labeling** Full text of FDA-approved drug labels (package inserts) for thousands of prescription and over-the-counter drugs. Includes indications, dosage, contraindications, warnings, adverse reactions, drug interactions, and storage conditions. Updated whenever the FDA approves labeling changes. **3. Drug Recalls (Enforcement Reports)** Records of drug recall actions, including the reason for recall (contamination, mislabeling, sub-potency, etc.), the affected lot numbers, the recalling firm, and the recall classification. Searchable by drug name, NDC code, or recall date. **4. Medical Device Adverse Events (MAUDE)** Reports of problems with medical devices, including deaths, serious injuries, and malfunctions associated with specific device types and manufacturers. Important for biomedical engineers and hospital administrators monitoring device safety. **5. Food Enforcement Reports** FDA enforcement actions related to food products, including recalls of contaminated or mislabeled food items. Useful for food importers and distributors. **6. Tobacco Adverse Event Reports** Adverse event reports related to tobacco products, including electronic cigarettes. Growing relevance as vaping products enter the Nigerian market. **How Developers Use OpenFDA** No API key is required for basic usage: ``` GET https://api.fda.gov/drug/event.json?search=patient.drug.medicinalproduct:metformin&limit=10 ``` Register for a free API key at open.fda.gov to access higher rate limits (120,000 requests/day vs 1,000/day without key): ``` GET https://api.fda.gov/drug/label.json?search=brand_name:paracetamol&api_key=YOUR_KEY ``` OpenFDA uses a powerful query syntax: full-text search (`search=`), field-specific filtering, range queries for dates and numeric values, and result counting (`count=`). The `count=` parameter is particularly useful for analytics — counting adverse events by drug name, reaction type, or patient age group. **Pricing** Completely free. No payment required. The API is a public service of the US government funded by taxpayer dollars. No commercial restrictions on using the data in applications. **Rate Limits** Without API key: 240 requests/minute, 1,000 requests/day. With free API key: 240 requests/minute, 120,000 requests/day. For very high-volume data downloads, FDA also provides bulk data downloads. **Nigerian Relevance** Nigeria's pharmaceutical market includes many drugs that are also FDA-regulated — either because they are imported from the US, manufactured by US-licensed manufacturers, or are global brands with US FDA approval. Examples include common generic drugs (metformin, amoxicillin, artemether-lumefantrine, ARVs), medical devices (blood glucose meters, diagnostic equipment), and vaccines. Key use cases for Nigerian developers and organizations: 1. **Pharmacovigilance Research**: NAFDAC (National Agency for Food and Drug Administration and Control) encourages pharmacovigilance — monitoring adverse drug reactions in Nigeria. Researchers can supplement Nigerian adverse event data with FAERS reports for the same drugs to build a more complete safety picture. 2. **Drug Safety Screening**: Before importing or approving a drug batch, Nigerian pharmacists and importers can check whether the manufacturer or lot number has active FDA recalls. 3. **Clinical Decision Support**: Drug labeling data from OpenFDA can power warnings and interaction alerts in Nigerian hospital pharmacy systems, particularly for drugs used across both US and Nigerian healthcare systems. 4. **Medical Education**: Nigerian medical and pharmacy students can use OpenFDA to access original FDA drug labels as a teaching resource for pharmacology education. **Compliance Considerations** OpenFDA data is US regulatory data. It reflects FDA's jurisdiction and does not constitute NAFDAC approval or Nigerian regulatory guidance. Developers should clearly label any drug information as "US FDA Data" and direct users to NAFDAC for Nigerian regulatory decisions. OpenFDA data is in the public domain and can be freely reproduced with attribution. **Company Background** OpenFDA is developed and maintained by the US Food and Drug Administration's Office of Digital Transformation. It was launched in 2014 as part of a government initiative to make FDA's regulatory data more accessible to the public, researchers, and developers. The project is open-source on GitHub and welcomes community contributions to improve the API and documentation. OpenFDA is one of the most reliable and comprehensive pharmaceutical regulatory databases available for free — making it an invaluable resource for Nigerian health tech innovation.

8. LifeBank API

Health Tech, Development Tools

Medical supply chain API for blood bank and healthcare supply management. LifeBank provides APIs for inventory tracking, donor management, and blood product distribution. Enables healthcare facilities to access safe blood and medical supplies.

9. Mental Health API (Sentio)

Health Tech

The Mental Health API by Sentio is a specialized health data service providing structured access to mental wellness content, crisis resources, support line information, and evidence-based psychological health information for developers building mental health applications, wellness platforms, and support tools. As awareness of mental health challenges grows globally and particularly in Nigeria, where mental health stigma is declining and demand for mental wellness resources is increasing, this API provides the content infrastructure for applications aimed at improving psychological wellbeing. Mental health awareness in Nigeria has grown significantly in recent years, driven by increasing recognition of conditions like depression, anxiety, PTSD, and burnout — particularly following the social and economic stresses of the COVID-19 pandemic and ongoing economic pressures. Nigerian counselors, psychologists, and mental health advocates are building digital tools to scale access to mental health support beyond the limited number of trained practitioners available in the country. The Mental Health API provides content and data resources that make it feasible to build these tools without manually compiling and maintaining mental health databases. The API provides access to curated mental health information covering common conditions including depression, anxiety disorders, bipolar disorder, schizophrenia, PTSD, OCD, and eating disorders. Each condition entry includes symptom descriptions, evidence-based coping strategies, and information about professional treatment options. For Nigerian health information apps and patient education platforms, this structured clinical content can be displayed to users seeking to understand mental health conditions affecting themselves or people close to them. Crisis resource data is among the most critical components for applications serving vulnerable populations. The API provides information about mental health crisis support services, hotlines, and emergency resources. For Nigeria specifically, mental health crisis support is an area where digital tools can have significant impact — providing immediate access to information about where to seek help during a mental health crisis, what warning signs to watch for in others, and how to provide basic support to someone in distress. Wellness content covering self-care practices, stress management techniques, mindfulness exercises, and evidence-based psychological strategies for improving mental wellbeing serves the large segment of users who are not in crisis but are seeking tools for maintaining and improving their psychological health. Nigerian corporate wellness programs, university student support platforms, and consumer wellness apps can use this content to provide practical mental health resources at scale. Psychoeducational content explains psychological concepts in accessible language, helping users build mental health literacy. Understanding concepts like cognitive distortions, emotional regulation, trauma responses, and the mind-body connection enables people to apply psychological insights to their own lives and be more effective advocates for themselves and others in mental health care settings. The structured data format of the API allows Nigerian application developers to build flexible presentation layers — displaying mental health content in formats ranging from article pages to conversational chatbot responses, quick tip cards, or interactive assessment flows. The separation of content data from presentation logic gives developers full control over how mental health information is presented to their specific user audience. For Nigerian HR and corporate wellness teams building employee mental health support programs, integrating the API provides access to credible, structured mental health resources that can be embedded in employee wellness portals, HR platforms, and intranet systems. Providing accessible mental health information at work reduces the barrier for employees to seek information and help, supporting workplace wellbeing and productivity. The API is accessible through registration at the provider platform with API key authentication. Freemium access enables Nigerian developers to explore and build with the API before committing to paid plans for production deployment. As demand for mental health applications grows in Nigeria, this API offers a practical starting point for building the mental wellness infrastructure Nigeria needs.

10. ymove.app Fitness API

Health Tech, Development Tools

ymove.app Fitness API provides developers with access to a comprehensive exercise and fitness data platform, enabling the creation of workout apps, fitness tracking tools, and health platforms powered by structured movement data. The API covers a wide range of exercise types, body part targeting, equipment requirements, and workout programming, making it a versatile backend for consumer fitness applications. The exercise library is the central resource — a curated database of exercises categorized by target muscle group, secondary muscle groups, equipment type, and movement pattern. Each exercise record includes the exercise name, detailed instructions for proper form, muscle activation information, and difficulty level. For Nigerian fitness app developers building gym management software or personal training tools, this structured exercise data eliminates the need to manually compile and maintain an exercise database. Workout plan data structures exercises into programmatic training sessions with sets, reps, rest periods, and progression parameters. The API supports both strength training programming (sets, reps, weight percentages) and cardio programming (duration, intensity zones, distance targets). Nigerian gym chains and fitness studios can use workout plan endpoints to deliver coach-designed training programs to members through a branded mobile app without building the programming backend from scratch. The movement tracking features support recording individual workout sessions, logging completed exercises, and calculating volume and intensity metrics. For corporate wellness programs at Nigerian companies, movement data can track employee fitness activity, support step challenges, and generate wellness reports for HR departments managing employee health benefit programs. The API integrates nutrition context for some exercise categories, connecting caloric expenditure estimates to workout data. This is valuable for weight management apps where users need to understand the relationship between exercise activity and daily caloric balance. Nigerian health platforms that combine fitness coaching with nutritional guidance can use this connection to provide more holistic wellness insights. Authentication uses API key headers, and the free tier provides sufficient access for prototype development and small-scale applications. The API documentation covers all endpoints with example requests and responses, making integration straightforward for Nigerian developers building fitness features into existing health apps or standalone workout tracking applications. The ymove.app Fitness API supports goal-setting frameworks that link workout data to specific fitness objectives — weight loss, muscle gain, cardiovascular health improvement, or endurance building. For each goal type, the API can suggest appropriate workout types, frequencies, and intensity progressions based on fitness research. Nigerian personal training apps that want to provide structured programming guidance rather than just logging what users already do can use goal-based workout suggestions to deliver a coaching experience at scale. The API also supports integration with wearable device data through standard fitness data formats. Nigerian users who wear fitness trackers or smartwatches can have their step counts, heart rate data, and sleep metrics imported and contextualized alongside structured workout data from the API, giving health apps a comprehensive view of a user's daily movement and activity patterns beyond just planned exercise sessions. The ymove.app Fitness API provides rest day programming guidance alongside active workout days, acknowledging that recovery is a critical component of fitness progress. Nigerian users who tend to over-train benefit from structured rest day recommendations that include mobility work, stretching routines, or light active recovery activities appropriate to their training intensity level.

11. Edamam Nutrition Analysis API

Health Tech, Development Tools

The Edamam Nutrition Analysis API is a powerful food and nutrition intelligence service that transforms raw recipe ingredients and food descriptions into detailed nutritional data using advanced natural language processing and one of the world largest proprietary food composition databases. Designed for recipe platforms, meal planning applications, health apps, and food industry software, Edamam enables developers to automatically calculate and display comprehensive nutritional information for any recipe or food item. Edamam's core differentiator is its ability to parse natural language ingredient lists the way they actually appear in recipes — quantities, preparations, and food names written by human chefs and food writers rather than in standardized database query format. The API accepts ingredient strings like "2 cups of shredded roasted chicken" or "1/2 teaspoon of groundnut oil" and correctly interprets the quantity, unit, preparation method, and food item to retrieve the appropriate nutritional values. This NLP capability makes Edamam practical for food content platforms where editorial recipes contain unstructured ingredient text. The nutritional data returned is extremely comprehensive. For any recipe or food item, Edamam calculates values for over 30 nutrients including total energy in kilocalories and kilojoules, all macronutrients with further breakdown such as saturated fat, monounsaturated fat, polyunsaturated fat, trans fat, dietary fiber, and sugar subtypes. Micronutrients span all vitamins including the full B vitamin complex, fat-soluble vitamins A, D, E, and K, and vitamin C, alongside all dietary minerals including calcium, iron, magnesium, zinc, selenium, and potassium. This depth satisfies both consumer-facing nutrition displays and clinical dietitian applications that require comprehensive micronutrient analysis. Dietary label generation is an integrated feature that automatically identifies whether a recipe or food qualifies for specific dietary classifications. The API evaluates recipes against criteria for labels including vegan, vegetarian, gluten-free, dairy-free, paleo, keto, low-sodium, low-FODMAP, and many others. For Nigerian food platforms catering to health-conscious consumers including those managing diabetes, hypertension, celiac disease, or following specific dietary philosophies, automatic dietary labeling enables meaningful content filtering without manual classification. The allergen detection feature identifies the presence of the 14 major allergens recognized in food labeling standards — including gluten, dairy, eggs, fish, shellfish, nuts, peanuts, soy, and sesame. Nigerian food delivery apps and restaurant platforms can use this data to warn customers about allergen risks in menu items, supporting informed food choices and reducing liability related to allergen incidents. For Nigerian recipe applications and food content platforms, Edamam makes it economically viable to add nutritional information to large recipe libraries. Rather than manually calculating nutrition for hundreds or thousands of recipes — which would require trained nutritionists and significant time investment — the API processes entire recipe collections automatically. A Nigerian food blog transitioning to a comprehensive recipe platform can integrate Edamam to automatically generate nutrition facts panels for all recipes, meeting the growing consumer expectation for nutritional transparency. Meal planning applications targeting Nigerian users managing health conditions including Type 2 diabetes, hypertension, and obesity — which are increasingly prevalent in urban Nigeria — need accurate nutritional analysis to help users stay within medically recommended nutrient targets. Edamam's comprehensive nutrient analysis enables building meal planning tools with sophisticated nutrient tracking that goes beyond simple calorie counting. The API is accessed through registered developer accounts with app ID and API key authentication. The Edamam developer tier provides 1,000 API calls per month at no cost, sufficient for development, testing, and small personal projects. Commercial plans scale from individual developer tiers through enterprise agreements for high-volume platforms, with pricing structured around monthly API call volumes. Nigerian developers can begin integrating with the free tier and upgrade as their platform grows to a scale where the per-call cost is justified by user value and business revenue.

12. Reliance Health API

Health Tech, Insurance

Health insurance API for managing employee health insurance and claims. Reliance Health provides APIs for policy management, claims processing, and healthcare provider networks. Enables businesses to integrate comprehensive health insurance solutions.

13. Infermedica Symptom Checker API

Health Tech, Development Tools

Infermedica Symptom Checker API is an AI-powered clinical decision support platform that provides symptom assessment, triage recommendations, and medical condition identification through a conversational API. Built by Infermedica, a medical AI company whose technology has been validated against physician diagnoses, the API powers symptom checker experiences in telemedicine apps, digital health platforms, hospital patient portals, and health chatbots that need clinically reliable medical triage logic without building medical AI from scratch. The core interaction model of the Infermedica API is a dialogue: a patient initiates a symptom assessment by describing their chief complaint, and the API responds with follow-up questions that progressively narrow the set of probable conditions. This AI-driven interview collects relevant symptoms, risk factors, and medical history data through structured yes/no and multiple-choice questions derived from probabilistic clinical reasoning models trained on millions of clinical cases. The process mimics the triage interview a clinician performs but delivers it through a digital interface that can run 24 hours a day without clinical staff involvement. The triage output from Infermedica classifies the urgency of the patient's presented symptoms into categories — emergency (call emergency services immediately), consult soon (see a doctor within 24 hours), self-care (symptoms can be managed at home) — with structured rationale for the triage classification. For Nigerian telemedicine platforms and digital health services that need to prioritize patient consultations or direct patients to appropriate care levels, the triage API provides the clinical logic layer without requiring in-house medical AI development. Condition probability output from Infermedica ranks the most likely diagnoses consistent with the symptoms and risk factors collected during the interview, with probability scores and ICD-10 codes for each condition. This differential diagnosis output helps healthcare providers who review the pre-consultation triage data focus their clinical assessment on the most likely conditions rather than starting from scratch, improving consultation efficiency. For Nigerian telemedicine platforms — where a significant proportion of consultations involve triage questions that could be handled before the doctor connects — Infermedica's symptom checker API can function as a pre-consultation digital intake tool that collects symptom history, performs initial triage, and delivers structured data to the clinician before the video call begins. This workflow improvement increases the clinical value of each consultation and reduces the amount of basic history-taking the physician must do within the consultation time. Mental health symptom assessment is supported through specific Infermedica models covering anxiety, depression, and other common mental health presentations. Nigerian mental health platforms and employee wellbeing apps can use these models to provide structured mental health screening tools that identify individuals whose symptom patterns suggest they would benefit from professional support, directing them toward appropriate services. The Infermedica API is designed for enterprise integration with developer-accessible REST API endpoints, comprehensive documentation, and sandbox environment access for testing. Nigerian health tech developers can explore the API capabilities using test credentials without production data before building health-app integrations. Regulatory compliance considerations for the Nigerian health tech context — including FMOH and NHIA guidelines — apply to how symptom checker features are presented and what clinical claims are made about the tool's outputs.

14. Ministry of Health Data API

Health Tech, Nigeria Open Data

The Nigerian Federal Ministry of Health (FMOH) Data API provides access to public health statistics, disease surveillance data, health facility information, immunization coverage metrics, and public health program outcomes across Nigeria. Nigeria's population of over 220 million people and its complex public health landscape — managing endemic diseases like malaria and tuberculosis alongside emerging infectious disease threats — make FMOH health data critical infrastructure for healthcare planning, research, and digital health applications. Disease surveillance data from the Nigeria Centre for Disease Control (NCDC), operating under FMOH oversight, tracks case counts, outbreak alerts, and epidemiological curves for notifiable diseases including malaria, cholera, Lassa fever, meningitis, monkeypox, and COVID-19. Real-time disease reporting from the Integrated Disease Surveillance and Response (IDSR) system aggregates reports from state public health laboratories and sentinel surveillance sites. For Nigerian public health dashboards and epidemic intelligence tools, this surveillance data provides the early warning signals that epidemiologists and health authorities need to respond rapidly to outbreak events. Health facility data maps Nigeria's healthcare infrastructure across the three tiers: primary health care centers (PHCs), secondary health facilities (general hospitals), and tertiary institutions (teaching hospitals and specialist centers). The National Health Facility Registry maintained by FMOH contains over 30,000 registered facilities with location coordinates, service availability, operational status, and ownership type (federal, state, LGA, private). For telemedicine platforms and health directory apps, facility data powers patient-to-facility matching services that help Nigerians find appropriate nearby care. Immunization coverage statistics track vaccination rates for childhood immunizations (BCG, OPV, DPT, measles) and supplementary immunization activities (SIAs) at state and LGA levels. For public health organizations running vaccination campaigns in Nigeria — particularly those targeting states with historically low coverage — immunization data identifies priority areas and measures campaign impact over time. Vital statistics including birth registrations, mortality data, and cause-of-death information are compiled by FMOH from state health management information systems. Nigeria's civil registration coverage has historically been incomplete, but digital health programs are improving data quality. Researchers and NGOs working on maternal and child health in Nigeria rely on FMOH vital statistics as the official primary source for health indicator monitoring. Nigerian pharmaceutical companies, hospital systems, and healthcare NGOs can use the Ministry of Health API to access authoritative morbidity and mortality statistics that inform resource allocation, medical procurement planning, and intervention targeting. The disease surveillance data enables early warning systems for outbreak detection, allowing health applications to display alert information when disease incidence in specific Nigerian states or local government areas rises above baseline thresholds. Public health researchers at Nigerian universities and research institutes benefit from API access to longitudinal health data that would otherwise require time-consuming manual extraction from ministry publications. International health organizations including WHO, UNICEF, and bilateral health development programs use Nigerian Ministry of Health data as the baseline for program design, monitoring, and evaluation, and machine-readable API access supports more efficient data integration into their planning and reporting systems.

15. Nutritionix API

Development Tools, Health Tech

Nutritionix is the world largest verified database of nutritional information, providing an API that gives developers access to food composition data for over one million food items including restaurant menu items, packaged branded foods, and whole foods. Unlike purely academic nutrition databases, Nutritionix specializes in practical consumer food data — the actual foods people eat at chain restaurants and buy at grocery stores — making it the preferred choice for consumer health and fitness applications. The API's most distinctive feature is its natural language processing capability for food entry. Rather than requiring users to find the exact food item through search dropdowns, Nutritionix allows applications to accept natural language descriptions like "2 eggs and 3 slices of bacon" or "large bowl of jollof rice" and automatically parses them into structured nutrient data. This dramatically lowers the friction of food logging, which is the biggest usability challenge in nutrition tracking applications. Nigerian users logging their meals benefit from being able to type food descriptions naturally rather than navigating complex search interfaces. Restaurant menu data is a particularly valuable component for Nigerian food delivery and dining applications. Nutritionix has partnered with hundreds of major chain restaurants and compiled their menu nutrition data, allowing applications to display calorie counts and nutrient information for specific menu items ordered by name. As Nigerian quick service restaurant chains including KFC, McDonald's, Domino's, Kilimanjaro, and others expand across the country, integrating nutrition data for their menu items helps health-conscious Nigerian consumers make informed choices. The food database search supports lookup by food name, UPC barcode, and Nutritionix food ID. Barcode scanning integration enables mobile food tracking applications to instantly retrieve nutrition information by scanning product packaging, which is particularly convenient for Nigerian consumers tracking packaged snacks, beverages, and processed foods that carry barcodes. The response includes complete macro and micronutrient profiles including calories, protein, fat, carbohydrates, fiber, sugar, sodium, potassium, and vitamins. Meal and recipe analysis is supported through an endpoint that accepts multiple food items and returns combined nutritional totals. Developers building meal planning features can submit an entire recipe ingredient list and receive the total nutritional value, which can then be divided by serving size to calculate per-serving nutrition. Nigerian recipe apps and food blogs can use this to automatically generate nutrition facts for traditional Nigerian recipes like egusi soup, moi moi, akara, and suya. Exercise calorie data is included alongside food data, providing calorie expenditure estimates for common physical activities based on body weight and exercise duration. This enables fitness applications to display a complete caloric balance picture — calories consumed from food minus calories burned through exercise — without requiring a separate exercise calories API. For Nigerian dietitians and certified health professionals, Nutritionix provides the practical food database that clinicians need for patient dietary counseling. Rather than academic nutrition databases that list nutrients for raw ingredients, Nutritionix covers the actual prepared foods and restaurant meals that Nigerian patients report eating, making dietary assessments and recommendations more accurate and practically applicable. The API is available on a freemium model with a developer free tier supporting 500 requests per day — sufficient for building and testing applications. Commercial plans scale with usage volume for production applications serving Nigerian health-conscious consumers, corporate wellness programs, and healthcare institutions. Authentication uses application ID and API key passed in request headers, following standard REST API conventions that Nigerian developers familiar with any modern API will recognize immediately.

16. Strava API

Development Tools, Health Tech

Strava API provides athlete activity data, fitness tracking, and social features. The service enables building fitness applications with activity tracking and community features. Features include activity logging, athlete profiles, and performance metrics. Ideal for building fitness and sports community applications. Growing fitness community across Africa.

17. Medsaf API

Development Tools, Health Tech

Pharmaceutical procurement API connecting pharmacies and healthcare facilities with drug suppliers. Medsaf provides APIs for inventory management, supplier connections, and procurement automation. Enables healthcare facilities to access quality drugs at better prices.

18. FoodData Central API

Health Tech

FoodData Central API is the official USDA (United States Department of Agriculture) food and nutrient database service, providing developer access to one of the world most comprehensive and authoritative collections of food composition data. Maintained by the USDA Agricultural Research Service, FoodData Central contains detailed nutrient profiles for over 400,000 food items spanning branded products, restaurant foods, foundation foods, survey foods, and experimental foods, making it the most complete publicly available food nutrition database. The database is organized into several distinct food datasets, each serving different research and application needs. Foundation Foods contains nutrient data for the most common foods in the American and global diet with detailed analytical methodology documentation. SR Legacy Foods is the classic USDA nutrient database maintained for continuity with long-running research studies. The Branded Food Products Database includes nutrition label data for commercially packaged foods from US manufacturers and retailers. FNDDS (Food and Nutrient Database for Dietary Studies) contains data for foods consumed in national nutrition surveys. Experimental Foods covers novel and research-purpose food items. Each food item in FoodData Central includes detailed nutrient values for macronutrients — protein, fat, carbohydrates, and fiber — as well as extensive micronutrient data covering vitamins A through K, B vitamins, all dietary minerals and trace elements, amino acid profiles, fatty acid breakdowns, and phytochemicals where measured. The depth of nutrient data makes FoodData Central the reference standard for clinical nutrition research and precise dietary analysis applications. The API supports multiple query types for flexible integration. Full-text search allows querying foods by name with filtering by food category, data type, and brand name. Barcode search enables food lookup by GTIN or UPC code for branded products. Direct food ID lookup retrieves complete nutrient profiles for known food items. Nutrient search enables finding all foods containing high levels of a specific nutrient, enabling use cases like identifying vitamin B12 rich foods for Nigerian consumers concerned about dietary deficiencies common in plant-heavy diets. For Nigerian health and wellness application developers, FoodData Central provides the comprehensive food composition data needed to build serious nutrition tracking features. While the database is US-centric for branded products, the foundation foods database covers staple foods found in Nigerian diets — cassava, yam, beans, plantain, rice, leafy vegetables, fish, chicken, beef, eggs, groundnuts, and palm oil are all represented. Nigerian food apps can combine FoodData Central data for these staple ingredients with locally sourced data for prepared Nigerian dishes to create comprehensive nutrition tracking for Nigerian users. Dietitians and nutritionists serving Nigerian clients use nutrition data APIs like FoodData Central to access authoritative nutrient values for clinical dietary assessments, meal plan creation, and patient education. The USDA imprimatur on the data provides the credibility that health professionals require when making nutritional recommendations. Restaurant and food service businesses in Nigeria can use FoodData Central to calculate approximate nutritional information for their menu items based on ingredient composition, enabling menu labeling and marketing to health-conscious consumers. As Nigerian consumer awareness of nutrition grows alongside rising rates of diet-related non-communicable diseases, nutritional transparency becomes an increasingly important differentiator for food businesses. The API is free to use with an API key obtained by registering with the USDA NutritionDB portal. The generous rate limit of 3,600 requests per hour accommodates high-traffic production applications without charge, making FoodData Central exceptional value as the foundation for any serious nutrition data application targeting Nigerian health-conscious consumers and healthcare professionals.

19. Wger Workout API

Development Tools, Health Tech

Wger Workout Manager API provides exercise database, muscle targeting information, and equipment data. The service is completely free and open source. Features include exercise descriptions, muscle groups, equipment details, and workout programs. Ideal for building fitness and workout applications.

20. SNOMED CT API

Development Tools, Health Tech

SNOMED CT (Systematized Nomenclature of Medicine — Clinical Terms) is the world's most comprehensive, multilingual clinical healthcare terminology, containing over 350,000 active clinical concepts covering diseases, clinical findings, procedures, anatomical structures, organisms, substances, pharmaceutical products, and healthcare activities. SNOMED CT is maintained by SNOMED International, a not-for-profit organization with members from over 40 countries. The SNOMED CT Browser API provides free programmatic access to browse, search, and traverse the terminology hierarchy — making it accessible to developers building clinical documentation systems, disease surveillance platforms, and health data analytics tools. **What SNOMED CT Is and Does** SNOMED CT is not just a flat list of medical terms — it is a sophisticated ontology with formal logical definitions and relationship hierarchies. Each concept has: - **A unique SCTID** (SNOMED CT Identifier): A globally unique numeric code - **A Fully Specified Name (FSN)**: Unambiguous clinical description - **Preferred terms**: Shorter clinical display terms - **Synonyms**: Alternative acceptable terms - **Relationships**: Formal logical relationships to other concepts (Is-a, Finding site, Associated morphology, Causative agent, etc.) This hierarchical, relational structure enables powerful clinical reasoning. For example, "Type 2 diabetes mellitus" is a subtype of "Diabetes mellitus" which is a subtype of "Endocrine, nutritional and metabolic diseases" — the hierarchy is traversable programmatically, enabling subsumption queries (find all patients with any type of diabetes, not just a specific coded entry). **SNOMED CT Browser API** The SNOMED CT Browser API is provided by SNOMED International at browser.ihtsdotools.org. It enables: - **Concept search**: Full-text search returning matching SNOMED CT concepts with their SCTID, FSN, and preferred term - **Concept details**: Retrieve all properties, relationships, and descriptions for a specific concept - **Hierarchy navigation**: Get parent and child concepts (Is-a relationships) - **Description lookup**: Search by description text - **Translation lookup**: Get concept descriptions in other languages - **FHIR CodeSystem endpoint**: The Browser exposes a FHIR R4 CodeSystem endpoint for FHIR-compatible systems **Licensing — Critical Consideration for Nigerian Developers** SNOMED CT has a licensing model that Nigerian developers must understand before implementing: - **Development/Browsing**: Using the SNOMED CT Browser API for development, research, and browsing is free and requires no license - **Production Deployment**: Embedding SNOMED CT data (concept codes, descriptions) in a production clinical system requires a license from SNOMED International - **Member Country License**: Organizations in SNOMED International Member countries get automatic licenses through national agreements - **Affiliate License**: Organizations in non-member countries (including Nigeria, which is not a current Member) can apply for an Affiliate License — this is **free** for healthcare providers and academic/research use, and **free for Low and Middle Income Countries (LMICs)** including Nigeria for non-commercial deployments Nigerian health tech companies should: 1. Register as an Affiliate Member at snomed.org/licensing 2. Apply for the LMIC free license if the deployment is non-commercial healthcare delivery 3. Contact SNOMED International for commercial licensing terms if building a commercial health IT product **Clinical Coding Benefits for Nigeria** Nigeria's health information systems suffer from inconsistent disease coding. Different hospitals code the same diagnosis differently, making aggregation impossible. Implementing SNOMED CT: 1. **Standardizes disease coding** across facilities using globally recognized codes 2. **Enables cross-facility analytics** — NCDC can aggregate case counts for any SNOMED-coded condition across all contributing facilities 3. **Supports ICD translation** — SNOMED CT maps to ICD-10 and ICD-11, enabling conversion to the coding standard used for official disease statistics (ICD) 4. **Reduces clinical ambiguity** — "Malaria" in SNOMED CT has a specific SCTID (61462000) that distinguishes it from "Plasmodium falciparum malaria," "Malaria in pregnancy," or "Cerebral malaria" **Nigerian Disease Context** SNOMED CT's comprehensive coverage includes the diseases most prevalent in Nigeria: - Malaria (multiple specific subtypes including cerebral malaria, uncomplicated malaria, P. falciparum vs P. vivax) - HIV/AIDS with full complication spectrum - Tuberculosis (including drug-resistant TB) - Typhoid fever - Lassa fever and other viral hemorrhagic fevers - Sickle cell disease (with hemoglobin subtype specificity) - Hypertension, diabetes mellitus, cardiovascular diseases - Maternal and neonatal conditions This disease coverage makes SNOMED CT genuinely applicable to Nigerian clinical documentation rather than just US/European disease profiles. **Integration with FHIR** SNOMED CT integrates seamlessly with FHIR: FHIR's Condition resource uses SNOMED CT codes as the preferred coding system for diagnoses. A FHIR Condition resource coded with SNOMED CT can be queried, aggregated, and reasoned about using SNOMED's concept hierarchy — enabling subsumption searches across all subtypes of a given condition. **Company Background** SNOMED International is headquartered in London and operates as the governing body for SNOMED CT globally. It was established in 2013 from the consolidation of IHTSDO (International Health Terminology Standards Development Organisation) and SNOMED, Inc. Members include national health ministries and IT organizations from the US, UK, Australia, Canada, EU countries, and many others. The organization provides open-access tools, educational resources, and a free browser for development use. SNOMED CT is the most powerful clinical terminology available and is the right choice for Nigerian health tech companies building clinical systems that require rigorous, internationally recognized disease and procedure coding.

21. Withings Health API

Health Tech

Withings Health API enables integration with Withings health devices and services. The service provides access to health metrics from smartwatches, scales, and health monitors. Features include activity data, sleep tracking, heart rate monitoring, and weight tracking. Freemium for developers. Perfect for health dashboards and fitness applications.

22. RxNav API

Health Tech, Development Tools

RxNav is a suite of free, publicly accessible REST APIs operated by the US National Library of Medicine (NLM), part of the National Institutes of Health (NIH). RxNav provides programmatic access to several authoritative drug databases: RxNorm (the standard drug naming vocabulary), RxTerms (simplified drug terms for clinical documentation), NDF-RT (drug classification and pharmacological properties), and RxClass (drug class relationships). Together, these APIs form a comprehensive drug intelligence layer that is completely free, requires no API key, and is globally accessible — making it a foundational resource for Nigerian health tech developers building drug reference applications, clinical decision support tools, and pharmacy systems. **What RxNav Does** RxNav exposes multiple API endpoints organized around drug data needs: **1. RxNorm API** RxNorm is the US standard vocabulary for clinical drugs, providing normalized names and unique identifiers (RxCUI — RxNorm Concept Unique Identifier) for every drug. The RxNorm API allows: - **Drug lookup by name**: Search for a drug by brand name, generic name, or ingredient and receive its RxCUI - **NDC to RxNorm conversion**: Convert US National Drug Code (NDC) package codes to normalized RxNorm concepts - **Drug properties**: Get all synonyms, brand names, and generic names for a given drug concept - **Related concepts**: Navigate the drug concept hierarchy — from ingredient to clinical drug form to branded pack **2. Drug Interaction API** The most clinically critical feature: given a list of drug RxCUIs, the interaction API returns known drug-drug interactions (DDI) sourced from several interaction databases (DrugBank, ONCHigh, etc.). Returns interaction severity and description. Essential for clinical decision support. **3. RxClass API** Drug classification by multiple taxonomies: - Pharmacological class (mechanism of action, physiological effect, chemical structure) - Drug class hierarchies (EPC class, VA class, ATC class, MESH) - Allows lookup of all drugs in a class, or the classes a specific drug belongs to **4. RxTerms API** Simplified drug terms for prescribing interfaces — shows how a drug would appear in a clinical dropdown, e.g., "Metformin 500 MG Oral Tablet" in a standardized, concise format. **5. Spelling Suggestions** Given a misspelled drug name, returns likely intended drug names — useful for search interfaces in clinical apps where users may misspell drug names. **How Developers Use RxNav** No API key required. Direct REST calls: Drug lookup: ``` GET https://rxnav.nlm.nih.gov/REST/drugs.json?name=metformin ``` Drug interactions for a list of RxCUI codes: ``` GET https://rxnav.nlm.nih.gov/REST/interaction/list.json?rxcuis=207106+152923 ``` All drugs in a class: ``` GET https://rxnav.nlm.nih.gov/REST/rxclass/classMembers.json?classId=N0000175743&relaSource=FDASPL ``` Responses are JSON (or XML if specified). The API is RESTful, stateless, and well-documented at rxnav.nlm.nih.gov. **Pricing and Rate Limits** Completely free. Operated as a public service by the US government. No API key required. No documented hard rate limits for normal usage — but extremely aggressive automated scraping should be avoided as a courtesy. **Nigerian Relevance** RxNav's drug databases are US-centric (based on US NDC codes and FDA-approved drug names), but their utility for Nigerian health tech is significant because: 1. Most drugs used in Nigeria are manufactured by global pharmaceutical companies with US FDA approvals. The active ingredients (metformin, artemether, lopinavir, amoxicillin, chloroquine, etc.) have RxNorm entries regardless of the country of use. 2. Drug interaction data is pharmacological — the interaction between metformin and contrast agents is the same in Nigeria as in the US. RxNav's interaction database provides globally applicable clinical warnings. 3. Nigerian medical students and pharmacists study pharmacology using international references (BNF, Goodman & Gilman) that align with RxNorm's drug classification. RxClass provides programmatic access to the same classification frameworks. **Drug Interaction Checking for Nigerian Hospitals** Polypharmacy (patients taking multiple medications simultaneously) is a significant safety concern in Nigerian hospitals. A Nigerian hospital's prescribing system can integrate RxNav's interaction API to: 1. When a doctor adds a new drug to a patient's prescription, look up the RxCUI for the new drug and all current medications 2. Query the interaction API with all drug RxCUIs 3. Display any identified interactions with severity rating and description 4. Require the doctor to acknowledge or override the warning before finalizing the prescription This is a potentially life-saving feature that can be implemented at near-zero cost using RxNav. **Generic Drug Substitution** In Nigeria's cost-sensitive healthcare market, patients and pharmacists frequently need to find affordable generic alternatives to expensive branded drugs. RxNav's concept relationship data allows building a brand-to-generic lookup: given a brand name (e.g., "Glucophage"), retrieve the ingredient (metformin), then list all drug products containing that ingredient as generics. **Compliance Considerations** RxNav data is US drug data. Drug names, dosages, and approvals may differ between US and Nigerian regulatory contexts. Applications should clearly indicate data source and direct users to NAFDAC for Nigeria-specific drug registration status. RxNav data is public domain and freely usable in any application. **Company Background** RxNav is developed and maintained by the Lister Hill National Center for Biomedical Communications, a research center within the US National Library of Medicine (NLM), part of the National Institutes of Health (NIH). NLM is the world's largest biomedical library and operates numerous free public APIs including PubMed, ClinicalTrials.gov, and MedlinePlus. RxNav has been publicly available since 2009 and is widely used in health IT systems globally. RxNav is one of the most valuable free drug data APIs available for health tech developers anywhere in the world, including Nigeria.