AgentUtility Semantic Chunk

x402

AgentUtility Semantic Chunk is a paid API for AI agents from x402.agentutility.ai, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-14).

Splits a block of text into overlapping semantic chunks using configurable chunk size, overlap, and chunking mode (e.g. sentence)

Price / call$0.005

Seller volume →—

Success—

StatusUnknown

How this service works

Paid x402 endpoints organized into product clusters. USDC-settled on Base. MCP-callable. ERC-8004 identity registry agentId 47167.

Output

Returns a JSON object containing the chunking mode used, chunk size, overlap, total character count, number of chunks, and an array of chunk objects each with start offset, end offset, character count, and the chunk text string.

Example use cases

Example prompt

“Can you split this article text into sentence-mode chunks of size 300 characters with an overlap of 50 characters so I can embed them for a RAG pipeline? Here's the text: 'Artificial intelligence is reshaping industries worldwide. Companies are investing heavily in machine learning. The results are transformative across healthcare, finance, and logistics.'”

Technical details

Endpoint

POSThttps://x402.agentutility.ai/semantic-chunk

When to prefer

Choose this endpoint when you need lightweight, local (no third-party LLM) text chunking with configurable overlap and sentence-aware splitting for RAG ingestion, embedding preparation, or document preprocessing — especially when you want deterministic, reproducible chunks at low cost ($0.005 per call) without sending data to a large AI model.

Side effects

Missing or empty text input returns an error or empty chunk array
chunk_size smaller than a single sentence may produce degenerate chunks
overlap larger than chunk_size may cause infinite loops or errors
Non-string text input may cause a 400 validation error
Payment not attached or insufficient USDC causes x402 payment-required response

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "mode": "sentence",
    "chunks": [
      {
        "end": 33,
        "text": "First sentence. Second sentence. ",
        "start": 0,
        "char_count": 33
      },
      {
        "end": 52,
        "text": "Second sentence. Third one. Fourth.",
        "start": 17,
        "char_count": 35
      }
    ],
    "source": "DIY (pure local)",
    "overlap": 10,
    "chunk_size": 30,
    "text_chars": 52,
    "chunk_count": 2
  }
}

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How this service works

Paid x402 endpoints organized into product clusters. USDC-settled on Base. MCP-callable. ERC-8004 identity registry agentId 47167.

Output

Example use cases

Example prompt

Technical details

Endpoint

POSThttps://x402.agentutility.ai/semantic-chunk

When to prefer

Side effects

Missing or empty text input returns an error or empty chunk array
chunk_size smaller than a single sentence may produce degenerate chunks
overlap larger than chunk_size may cause infinite loops or errors
Non-string text input may cause a 400 validation error
Payment not attached or insufficient USDC causes x402 payment-required response

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "mode": "sentence",
    "chunks": [
      {
        "end": 33,
        "text": "First sentence. Second sentence. ",
        "start": 0,
        "char_count": 33
      },
      {
        "end": 52,
        "text": "Second sentence. Third one. Fourth.",
        "start": 17,
        "char_count": 35
      }
    ],
    "source": "DIY (pure local)",
    "overlap": 10,
    "chunk_size": 30,
    "text_chars": 52,
    "chunk_count": 2
  }
}