Dietary Supplement Analysis (NIH data)

Dietary Supplement Label and Nutrient Intake Analysis

AI assistants call this service when someone asks "is my supplement routine OK?". Give it the products the way a person names them (product name, barcode or NIH label ID), with age and sex, and optionally their medications, conditions and what they eat. It finds each label in the NIH Dietary Supplement Label Database, totals every vitamin and mineral per day across all of them, and compares the totals with NIH reference intakes and upper limits. It also reports the medication interactions named in the NIH fact sheets, herbs with NIH safety signals, and FDA recalls and adverse event reports. Every answer starts with a plain-language summary an assistant can relay (English or Spanish), and every number traces back to its label or NIH source.

It runs on Pocket Network Beta TestNet as the paid service dietary-supplement-analysis, and as a remote MCP server with a free trial.

Data sources, all public:

• Labels: NIH Dietary Supplement Label Database (DSLD), API v9 plus a weekly mirror of NIH's full download (214,782 labels).
• Reference values: Food and Nutrition Board DRIs, as published on the NIH Office of Dietary Supplements fact sheets.
• Interactions and herbs: NIH ODS and NCCIH fact sheets; medication names are normalized with NIH RxNorm.
• Recalls and adverse events: openFDA.
• Foods: USDA SR28 (FoodData Central "SR Legacy"); typical US intake from What We Eat in America, NHANES 2017–March 2020.

What it is not: medical advice or a diagnosis. It reports what labels declare, compares the totals with published reference values, and relays the interactions and safety statements NIH publishes. The interaction list is not exhaustive, and no flag means nothing was found to report, not an all-clear.

For judges: try it in one minute

Paying agents call the service through Pocket Network: with an application staked for dietary-supplement-analysis on Beta, relay with pocket-ap as shown in Through Pocket Network. The paths and request bodies below are the same either way; the demo endpoint just skips the relay layer so you can use curl without staking.

Each example is one call, made the way an assistant would make it after a user describes their routine in plain words. jq -r .agent_summary prints the answer the assistant relays; a trimmed copy of the live answer is shown under each one.

1. "I'm 74 and on Coumadin. I take Centrum Silver, fish oil and ginkgo."

curl -s https://agents.trackmysupplement.com/v1/stack/analyze -H 'Content-Type: application/json' -d '{

"age": 74, "sex": "female", "detail": "summary", "medications": ["Coumadin"], "products": [{"query": "Centrum Silver Women 50+"}, {"query": "Nature Made Fish Oil 1200 mg"}, {"query": "Ginkgo Biloba 120 mg"}]}' | jq -r .agent_summary

Ginkgo (in Nutricost Ginkgo Biloba 120 mg): NCCIH: ginkgo may increase the risk of bleeding in people taking anticoagulants such as warfarin. Coumadin with Vitamin K in this stack: Vitamin K counteracts warfarin; NIH describes a serious and potentially dangerous interaction. Coumadin with Vitamin E in this stack: … Coumadin with EPA/DHA in this stack: High-dose fish oil may prolong clotting time and raise INR … 1 more interaction finding in interactions.findings.

The brand name is recognized as warfarin, three products are found by name in the NIH label database, and every warning cites its NIH or NCCIH fact sheet.

2. "I'm pregnant. I take a prenatal, vitamin A 25,000 IU for my skin, and ashwagandha for stress."

curl -s https://agents.trackmysupplement.com/v1/stack/analyze -H 'Content-Type: application/json' -d '{

"age": 29, "sex": "female", "life_stage": "pregnancy", "detail": "summary", "products": [{"query": "Nature Made Prenatal Multi + DHA"}, {"query": "vitamin A 25000 IU"}, {"query": "ashwagandha root extract"}]}' | jq -r .agent_summary

Vitamin A: 7500 mcg a day vs a UL of 3000 mcg (250%) … The UL guards against liver damage, and birth defects when taken in pregnancy (preformed vitamin A only). Leaving out … Vitamin A 25000 IU would bring Vitamin A to 0 mcg. Ashwagandha: … NCCIH: avoid ashwagandha during pregnancy and while breastfeeding.

3. "I'm 62: Centrum Silver, fish oil, magnesium and zinc. Should I add vitamin D 5000?" With "diet": "typical", food is counted too.

curl -s https://agents.trackmysupplement.com/v1/stack/analyze -H 'Content-Type: application/json' -d '{

"age": 62, "sex": "female", "diet": "typical", "products": [{"query": "Centrum Silver Women 50+"}, {"query": "Nature Made Ultra Fish Oil 1400"}, {"query": "KAL Magnesium Glycinate 400"}, {"query": "Thompson Zinc 50 mg", "servings_per_day": 1}], "candidates": [{"query": "vitamin d3 5000 iu"}]}' | jq -r .agent_summary

Zinc: 65 mg a day vs a UL of 40 mg (163%), mostly from Thompson Zinc 50 mg. The UL guards against reduced copper status … Magnesium: 500 mg a day vs a UL of 350 mg (143%) … Leaving out Thompson Zinc 50 mg would bring zinc to 15 mg (37.5% of the UL). … Adding … Vitamin D3 5000 IU would put Vitamin D (150% of the UL) above the upper limit.

The answer gives the one change that fixes it, and the what-if answers the question the user actually asked.

4. In Spanish: "Tomo Centrum Silver y Caltrate; tomo warfarina y levotiroxina."

curl -s https://agents.trackmysupplement.com/v1/stack/analyze -H 'Content-Type: application/json' -d '{

"age": 68, "sex": "female", "lang": "es", "detail": "summary", "medications": ["warfarina", "levotiroxina"], "products": [{"query": "Centrum Silver Women 50+"}, {"query": "Caltrate 600+D3"}]}' | jq -r .agent_summary

Warfarina con vitamina K de este conjunto: La vitamina K contrarresta la warfarina … Levotiroxina con calcio de este conjunto: … No tome la levotiroxina dentro de las 4 horas del carbonato de calcio. Levotiroxina con hierro de este conjunto: …

5. Scan a bottle: a barcode finds the label, and the same barcode finds FDA recalls and adverse event reports.

curl -s https://agents.trackmysupplement.com/v1/products/lookup -H 'Content-Type: application/json' -d '{"upc":"031604026974"}' | jq -r '.product.brand + " " + .product.name'

curl -s https://agents.trackmysupplement.com/v1/products/fda -H 'Content-Type: application/json' -d '{"upc":"031604026974"}' | jq -r .agent_summary

For a product with recalls, try {"query":"Nature Made Vitamin D3 1000 IU"}: FDA lists 4 matching recalls.

6. Agent to agent: much of the use is expected to come from other agents doing a bigger job, with no person typing: a pharmacy agent checking a new prescription against the supplements on file, a shopping agent checking a cart before checkout, a vision agent passing along a label it read from a photo, a coaching agent's weekly check, and a medication-review agent combining this service with drug-drug services. examples/ has all five as one script (bash examples/agent-flows.sh), plus a 50-line assistant that loads the tools from GET /v1/tools and lets a model call them (agent_loop.py).

More calls: POST /v1/nutrients/reference (RDA and UL for one nutrient, offline), POST /v1/products/search (find labels), POST /v1/interactions/check (medications without a stack), and GET /v1/tools, GET /v1/guide and GET /openapi.json for agent frameworks. All are listed under Endpoints.

Through Pocket Network (paid relay)

You need an application staked for dietary-supplement-analysis on Beta TestNet. Fund an address from the Beta faucet and stake it as an application with at least 1,000 POKT. Then install pocket-ap and relay with this repo's client config:

export POCKET_APP_PRIVATE_KEY=<your app key, 64 hex>   # pocketd keys export <name> --unarmored-hex --unsafe

pocket-ap call --config deploy/beta-stake/pocket-ap.yaml \ --service dietary-supplement-analysis --rpc-type rest \ -X POST --path /v1/stack/analyze \ -d '{"age":34,"sex":"female","products":[{"name":"Custom magnesium","ingredients":[{"name":"magnesium","amount":250,"unit":"mg"}]}]}' -v

On-chain record (Beta TestNet)

Details and the server setup are in deploy/PHASE4_READINESS.md.

Why it matters for Pocket Network

• A question millions of people have. 60.2% of US adults took a dietary supplement in the past 30 days, 38.7% took two or more, and 75.9% of adults 60 and old