# Context Targeting Oracle MCP

> Context Targeting Oracle MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.15/call, status unknown (last checked 2026-10-13).

Analyzes input data to determine contextual targeting signals, categories, or recommendations for ad/content targeting decisions.

## Facts

- Endpoint: POST https://api.m2mcent.com/context-targeting-oracle-mcp/api/process?utm_source=zero.xyz
- Price: $0.15/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/context-targeting-oracle-mcp-54c6e03c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-lleZV6SqtSWRdekDYjPi

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 context-targeting-oracle-mcp-54c6e03c -d '<json body>'
```

Example prompt: Analyze this article text and tell me what contextual targeting categories and audience signals it matches: 'Electric vehicles are transforming urban commutes as charging infrastructure expands across major cities.'

## When to prefer this

Choose this endpoint when you need oracle-grade contextual analysis of text or content for targeting purposes — particularly in programmatic advertising, content recommendation, or brand-safety pipelines where you need IAB-style category signals or audience segment classifications from raw content.

## Known failure modes

- Empty or missing 'data' field returns validation error
- Overly long or malformed text may result in processing timeout
- Ambiguous content may return low-confidence or null targeting categories
- Non-text binary data submitted as string may produce unexpected classification results

## 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 contextual targeting signals, category classifications, and audience segmentation data derived from the submitted text or data payload, enabling downstream ad serving or content routing decisions.

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/context-targeting-oracle-mcp-54c6e03c/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)