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Crop Pest Diagnostic MCP
x402
Crop Pest Diagnostic MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.15/call, status unknown (last checked 2026-09-15).
Diagnoses crop pest problems by analyzing submitted crop and pest data, returning identification and diagnostic information to support agricultural decision-making.
Price / call$0.15
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 a diagnostic analysis including identified pest or disease, confidence level, description of the problem, severity assessment, and potentially recommended treatment or management actions based on the submitted crop and symptom data.
Example use cases
Field crop pest outbreak identification
“I'm seeing brown spots and wilting on my wheat plants across the north field, with some kind of small green insects on the underside of leaves — can you diagnose what pest this is and how bad the infestation might be?”
Home vegetable garden pest diagnosis
“Something is eating through my tomato leaves overnight leaving irregular holes and dark droppings — can you identify what pest is responsible based on these symptoms?”
Orchard fruit tree disease assessment
“My apple trees have a powdery white coating on the leaves and some of the new growth is curling — please diagnose whether this is a fungal issue, an insect pest, or something else, and how urgent is treatment?”
Technical details
Endpoint
POSThttps://api.m2mcent.com/crop-pest-diagnostic-mcp/api/processWhen to prefer
Choose this endpoint when you need automated, AI-driven pest and disease diagnosis for crops based on symptom descriptions or observational data. It is best suited for agricultural agents, farm management tools, or precision agriculture workflows where rapid, scalable pest identification is needed without manual expert consultation.
Side effects
- Insufficient or vague symptom description leading to inconclusive diagnosis
- Unrecognized crop type or pest outside the training domain
- Malformed or empty data field returning a validation error
- Payment failure via x402 protocol preventing endpoint access
- Ambiguous symptoms matching multiple pests with low-confidence output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| payload | string |
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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