# MedAPI Evidence Synthesis — Clinical Evidence Lookup & LLM Analysis

> MedAPI Evidence Synthesis — Clinical Evidence Lookup & LLM Analysis is a paid API for AI agents from mamujamedapi.vercel.app, paid per call via x402, $0.35/call, status unknown (last checked 2026-09-14).

Accepts a medical question and returns synthesized clinical evidence from PubMed/clinical trials, including study count, evidence level, and LLM-powered analysis.

## Facts

- Endpoint: POST https://mamujamedapi.vercel.app/api/evidence
- Price: $0.35/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/medapi-evidence-synthesis-clinical-evidence-lookup-llm-analysis-3beab509
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_s9iSu5QkhCOfcAxQ9p3_l

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability medapi-evidence-synthesis-clinical-evidence-lookup-llm-analysis-3beab509 -d '<json body>'
```

Example prompt: Can you pull the clinical evidence on semaglutide for weight loss — how many studies are there, what's the evidence level, and what does the research actually say?

## When to prefer this

Choose this endpoint when you need a synthesized, evidence-graded answer to a clinical or pharmacological question, combining raw study retrieval with LLM analysis in a single call. Prefer it over raw PubMed search when you want an evidence level assessment and a narrative synthesis rather than just citations. Ideal for clinical decision support, medical research summaries, or answering evidence-based medicine questions without building your own retrieval-plus-synthesis pipeline.

## Known failure modes

- Vague or malformed question yields low-quality or empty study arrays
- Evidence level may be 'insufficient' if few studies match the query
- LLM synthesis may hallucinate or over-generalize when source studies are sparse
- Payment failure (x402 on Base) blocks the response entirely
- Rate limits or upstream API outages (PubMed, ClinicalTrials.gov) may cause timeouts
- Very niche or novel queries may return zero studies with no useful synthesis

## How this service works

Drug data, adverse events, clinical trials, PubMed. AI-powered medical analysis. 17 endpoints. x402 on Base.

## Output

Returns a JSON object with a success flag, a data object containing the total number of relevant studies, an array of study objects, and the assessed evidence level (e.g. high/moderate/low), plus an LLM-generated analysis object that synthesizes the evidence into a human-readable summary.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "question"
 ],
 "properties": {
  "question": {
   "type": "string",
   "description": "question"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "success"
 ],
 "properties": {
  "data": {
   "type": "object",
   "properties": {
    "total": {
     "type": "integer"
    },
    "studies": {
     "type": "array",
     "items": {
      "type": "object"
     }
    },
    "evidence_level": {
     "type": "string"
    }
   }
  },
  "success": {
   "type": "boolean"
  },
  "analysis": {
   "type": "object",
   "description": "LLM evidence synthesis"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/medapi-evidence-synthesis-clinical-evidence-lookup-llm-analysis-3beab509/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from mamujamedapi.vercel.app](https://www.zero.xyz/host/mamujamedapi.vercel.app/llms.txt)