# Token Dictionary Encoder MCP

> Token Dictionary Encoder MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.15/call, status unknown (last checked 2026-10-12).

Encodes input data using a token dictionary encoding scheme, mapping text or structured data to tokenized dictionary representations

## Facts

- Endpoint: POST https://api.m2mcent.com/token-dictionary-encoder-mcp/api/process?utm_source=zero.xyz
- Price: $0.15/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/token-dictionary-encoder-mcp-d7e5dc23
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_z4hi7sSdxf_BesuA0wyzG

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 token-dictionary-encoder-mcp-d7e5dc23 -d '<json body>'
```

Example prompt: Can you encode this text string using the token dictionary encoder: 'The quick brown fox jumps over the lazy dog'?

## When to prefer this

Choose this endpoint when you need to convert raw string data into a token-dictionary encoded format as part of an NLP preprocessing pipeline, token-based indexing system, or any workflow requiring consistent dictionary-based tokenization. Prefer it over general-purpose tokenizers when a dictionary-bound token mapping is specifically required.

## Known failure modes

- Empty or missing 'data' field returns a validation error
- Malformed or non-string input may cause a processing failure
- Excessively long strings may exceed processing limits and return a payload size error
- Service unavailability may result in a 402 or 5xx error requiring retry

## 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 token-dictionary-encoded representation of the submitted string data, mapping the input to a structured set of tokens or dictionary identifiers suitable for downstream NLP or data processing tasks.

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/token-dictionary-encoder-mcp-d7e5dc23/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)