Pharmacokinetics Model MCP

x402

Pharmacokinetics Model MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.3/call, status unknown (last checked 2026-10-16).

Runs pharmacokinetic modeling computations on drug/dosage data to simulate drug absorption, distribution, metabolism, and elimination profiles.

Price / call$0.3

Seller volume →—

Success—

StatusUnknown

How this service works

The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.

Output

Returns computed pharmacokinetic model output including drug concentration-time profiles, key PK parameters (AUC, Cmax, Tmax, half-life, clearance, volume of distribution), and ADME-related metrics derived from the input drug and dosage data.

Example use cases

Drug half-life estimation for formulary review

“I need to estimate the half-life and clearance rate for a new oral compound we're reviewing — dose is 250mg, elimination rate constant is 0.28/hr, volume of distribution is 45L. Can you run the pharmacokinetics model and give me the PK parameters?”

Simulating pediatric dosing adjustment

“Model the drug concentration profile for a pediatric patient given 10mg/kg of ibuprofen — I need to see how absorption and elimination differ and what the peak concentration and time-to-peak look like.”

Comparing multi-dose accumulation for a sustained-release drug

“Run a pharmacokinetics simulation for a sustained-release formulation dosed at 100mg every 12 hours — I want to see how the drug accumulates over 5 doses and what the steady-state concentration looks like.”

Technical details

Endpoint

POSThttps://api.m2mcent.com/pharmacokinetics-model-mcp/api/process?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to perform pharmacokinetic modeling or simulate drug concentration-time profiles, especially in agentic workflows requiring automated PK/PD computation without setting up local modeling software. Prefer this over general-purpose computation endpoints when the task is specifically ADME or PK parameter estimation.

Side effects

Malformed or incomplete input data string causing processing failure
Missing required pharmacokinetic parameters resulting in model errors
Ambiguous or unparseable drug data format leading to null output
Model convergence failure for extreme or physiologically implausible parameter values
Payment not processed resulting in 402 response

Output

Schema · Response

{
  "type": "json",
  "example": {
    "success": true
  }
}

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