Index onlineMerchant portal
Api Endpoint

NetIntel

Extract tabular data from messy text or HTML using Claude Haiku — detects columns and rows in unstructured content and returns clean structured JSON (columns + rows) so agents can turn pasted tables, HTML tables, and delimited text into usable data in one call.

Open interactive test console

Offering

Provider
netintel.dev
Method
POST
Offering type
Api Endpoint
Transport type
http
Category
Data
Delivery
Not provided
Pricing model
Not provided
x402 version
2

Endpoint context

URL
https://netintel.dev/extract/table
MIME type
Not provided
First seen
2026-10-16T01:50:14.534Z
Last seen
Tags
data extraction, document parsing, structured data, text to json, llm extraction

Website

Payment pricing

x402 payment terms are the authoritative price for calling this endpoint.

Payment option 1
0.02 USDC
Atomic price: 20000 · Network: eip155:8453 · Asset: USDC · Scheme: exact
Payment option 2
0.02 USDC
Atomic price: 20000 · Network: solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp · Asset: USDC · Scheme: exact
Raw x402 terms
[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "20000",
    "payTo": "0xdaDc335482AD545296Fd7b28518A251fFCbEb9Df"
  },
  {
    "scheme": "exact",
    "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
    "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
    "amount": "20000",
    "payTo": "8FVeybWnB4dYrxTuPK7WzFZNAiEcFVaDLFnKpRwVGr5s"
  }
]

Observed health

Status
Healthy
Latest latency
96 ms
Average latency
100 ms
HTTP status
204
Last checked
Reachability
100% over 11 checks

Latency is measured to the first response headers. A reachable result does not verify response accuracy or merchant identity.

Input schema

{
  "additionalProperties": false,
  "properties": {
    "body": {
      "properties": {
        "text": {
          "description": "The messy text or HTML containing tabular data to extract. Max 10000 words or 50KB. Aliases also accepted: content, html, csv, table, markdown, data.",
          "type": "string"
        }
      },
      "required": [
        "text"
      ],
      "type": "object"
    },
    "bodyType": {
      "enum": [
        "json",
        "form-data",
        "text"
      ],
      "type": "string"
    },
    "method": {
      "enum": [
        "POST"
      ],
      "type": "string"
    },
    "type": {
      "const": "http",
      "type": "string"
    }
  },
  "required": [
    "type",
    "method",
    "bodyType",
    "body"
  ],
  "type": "object"
}

Output schema

{
  "properties": {
    "example": {
      "properties": {
        "cached": {
          "description": "True if served from the in-memory cache.",
          "type": "boolean"
        },
        "column_count": {
          "description": "Number of columns detected.",
          "type": "number"
        },
        "findings": {
          "description": "Informational findings (e.g. no_table_found, count_mismatch).",
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        "grade": {
          "description": "Letter grade A-F",
          "type": "string"
        },
        "score": {
          "description": "Quality score 0-100",
          "type": "number"
        },
        "table": {
          "description": "Parsed table: columns (array of column names), rows (array of objects keyed by column name), and row_count (number of rows). Empty columns/rows with row_count 0 when no tabular structure is detected.",
          "type": "object"
        }
      },
      "type": "object"
    },
    "type": {
      "type": "string"
    }
  },
  "required": [
    "type"
  ],
  "type": "object"
}