# Text Chunking Semantic MCP

> Text Chunking Semantic MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.06/call, status unknown (last checked 2026-10-12).

Splits input text into semantically coherent chunks suitable for downstream NLP, embedding, or RAG pipelines.

## Facts

- Endpoint: POST https://api.m2mcent.com/text-chunking-semantic-mcp/api/process?utm_source=zero.xyz
- Price: $0.06/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/text-chunking-semantic-mcp-edcaed62
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_RaAE9a1-LnAd6WvmIZprw

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 text-chunking-semantic-mcp-edcaed62 -d '<json body>'
```

Example prompt: Can you split this article into semantically coherent chunks so I can embed and index them in my vector database? Here's the text: 'Artificial intelligence is transforming industries. From healthcare to finance, AI applications are growing rapidly. Machine learning models require large datasets...'

## When to prefer this

Choose this endpoint when you need to preprocess long-form text for embedding pipelines, RAG architectures, or vector databases and want semantic-aware chunking rather than naive fixed-size splitting. Prefer it over character-count splitters when preserving meaning across chunk boundaries is important.

## Known failure modes

- Empty or missing 'data' field returns an error
- Extremely short input may produce a single chunk with no splitting
- Very large text inputs may time out or be truncated
- Non-textual binary data in the data field may produce garbled output
- Payment failure (402) if USDC balance is insufficient

## 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 the input text divided into an array of semantically meaningful chunks, where each chunk preserves coherent meaning and context, optimized for downstream embedding, indexing, or retrieval tasks.

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/text-chunking-semantic-mcp-edcaed62/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)