# Crop Pest Diagnostic MCP

> 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.

## Facts

- Endpoint: POST https://api.m2mcent.com/crop-pest-diagnostic-mcp/api/process
- Price: $0.15/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/crop-pest-diagnostic-mcp-41aecb39
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_k-68mNwst7RT4aiLnbNoZ

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 crop-pest-diagnostic-mcp-41aecb39 -d '<json body>'
```

Example prompt: My corn plants have started showing yellowing leaves with small holes and a sticky residue — can you diagnose what pest or disease might be causing this and tell me how serious it is?

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "payload": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/crop-pest-diagnostic-mcp-41aecb39/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.m2mcent.com](https://www.zero.xyz/host/api.m2mcent.com/llms.txt)