RecallMax Neural MCP

x402

RecallMax Neural MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-16).

Processes input data through a neural memory and recall system via the RecallMax Neural MCP endpoint

Price / call$0.05

Seller volume →—

Success—

StatusUnknown

How this service works

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Output

Returns a processed output from the RecallMax Neural MCP system based on the submitted data string, potentially including recalled context, matched memory entries, or inferred results derived from the neural processing pipeline.

Example use cases

Knowledge retrieval from memory store

“I have a paragraph from an old document — can you send it through RecallMax Neural and see what related context or prior knowledge it can surface? Here's the text: 'The merger was finalized in Q3 with a valuation of $400M.'”

Contextual enrichment for agent pipeline

“Before generating my report, run this raw data string through RecallMax Neural to enrich it with any recalled background: 'Project Alpha deployment timeline, Phase 2 completion.'”

Neural recall for research synthesis

“Take this research note and process it through RecallMax Neural to retrieve any associated facts or prior findings it might match: 'mRNA vaccine efficacy in immunocompromised adults.'”

Technical details

Endpoint

POSThttps://api.m2mcent.com/recallmax-neural-mcp/api/process?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to process a text string through a neural recall or memory-augmented AI system, especially in agentic pipelines that require enriching inputs with prior context or retrieving information from a learned memory store. It is best suited for lightweight, single-call data processing where neural recall augmentation is the primary goal.

Side effects

Empty or missing 'data' field returns a validation error
Malformed JSON body causes a 400-level response
Service unavailability returns a 5xx error
Payment not received results in 402 Payment Required
Input string too long may be rejected or truncated

Output

Schema · Response

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

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