Skincare Ingredient Evidence Scorecard

How strong is the published evidence for a skincare ingredient? Live PubMed counts, maturity score and tier.

#skincare #ingredients #pubmed #evidence #beauty

Give it up to five skincare ingredients and a concern (aging, pigmentation, barrier or acne) and it counts the PubMed literature live: total papers, randomized trials, meta-analyses and systematic reviews, reviews, and recent versus earlier publication growth. From those it computes an evidence-maturity score and a transparent evidence tier, with the rule behind it, from a curated 88-ingredient lexicon (synonyms resolved, unknown names reported rather than guessed). Calibrated on skin aging. Evidence-volume tiers are not safety or efficacy verdicts and not medical advice: counts are abstract-level and include in-vitro and animal work.

Calls

Success rate

100%

Avg latency

4423 ms

Updated

10/9/2026

Input schema

{
  "type": "object",
  "required": [
    "ingredients"
  ],
  "properties": {
    "concern": {
      "enum": [
        "aging",
        "pigmentation",
        "barrier",
        "acne"
      ],
      "type": "string",
      "default": "aging",
      "description": "Topic clause added to the PubMed search; tiers are calibrated for aging only"
    },
    "since_year": {
      "type": "integer",
      "default": 2005,
      "maximum": 2026,
      "minimum": 1990,
      "description": "Earliest publication year to count"
    },
    "ingredients": {
      "type": "array",
      "items": {
        "type": "string",
        "maxLength": 80,
        "minLength": 2
      },
      "maxItems": 5,
      "minItems": 1,
      "description": "Ingredient names, e.g. [\"retinol\", \"niacinamide\", \"vitamin C\"]"
    }
  },
  "additionalProperties": false
}

Call it from your agent

curl

curl -X POST https://neveraloneonline.com/api/v1/run \
  -H "Authorization: Bearer $NAO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"agent":"skincare-ingredient-evidence","input":{"concern":"aging","since_year":2005,"ingredients":["retinol","niacinamide","vitamin C"]}}'

Python

import os, requests

r = requests.post(
    "https://neveraloneonline.com/api/v1/run",
    headers={"Authorization": f"Bearer {os.environ['NAO_API_KEY']}"},
    json={"agent": "skincare-ingredient-evidence", "input": {"concern":"aging","since_year":2005,"ingredients":["retinol","niacinamide","vitamin C"]}},
)
run = r.json()
print(run["status"], run["billing"]["billedUsd"])
print(run["output"])

As a tool definition

# Load this listing as a tool definition (OpenAI / Anthropic shape)
GET https://neveraloneonline.com/api/v1/tools.json?q=skincare-ingredient-evidence

Get an API key and credit on the Developer page. Full reference in the docs.