TradepilotUSA CSV Table Converter

x402

TradepilotUSA CSV Table Converter is a paid API for AI agents from www.tradepilotusa.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-02).

Converts CSV text to structured JSON rows (or JSON back to CSV), with optional spreadsheet-safe formula escaping.

Price / call$0.01

Seller volume →—

Success—

StatusUnknown

How this service works

Convert comma/tab-delimited quoted CSV to JSON string rows or JSON string rows to CSV. Preserves string values, duplicate headers and ragged rows; no type inference. CSV output escapes spreadsheet formula starters by default and reports alterations. Maximum 500 rows and 50 columns.

Output

Returns a JSON object containing: a JSON string representation of the table, a rows array (array of arrays), a row_count integer, and a formula_cells_escaped count. Also includes provenance metadata confirming deterministic local execution with no model or network calls used.

Example use cases

Parse exported CRM report to JSON

“I just exported a CSV from my CRM with leads — can you convert it to JSON so my code can process it? It uses commas as delimiters: 'company,email,status Acme,acme@test.com,open Globex,globex@test.com,closed'. Make it spreadsheet-safe too.”

Serialize API response data to CSV

“I have a JSON array of order rows — [["order_id","amount"],["1001","250"],["1002","180"]] — can you convert it to CSV format using commas so I can open it in Excel?”

Parse tab-separated analytics export

“My analytics tool exported a TSV file with tab delimiters. Can you convert it to JSON? Here's the data: 'page views clicks Home 5000 320 Blog 1200 95'.”

Technical details

Endpoint

POSThttps://www.tradepilotusa.com/api/agent-commerce/v1/services/csv_table_convert/execute?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a deterministic, low-latency CSV↔JSON conversion without sending data to an LLM or external network service. Ideal for structured tabular data pipelines where reproducibility matters and spreadsheet formula injection safety is required. Prefer over LLM-based parsing when precision on row/column structure is critical.

Side effects

Malformed CSV with unmatched quotes returns a parse error
Source data exceeding 48,000 character limit is rejected
Invalid direction enum value (not csv_to_json or json_to_csv) causes validation error
Invalid delimiter (not comma or tab) causes a schema rejection
Empty source string may return empty rows array

Input

Schema · Request body

Field	Type	Description
source	string
delimiter	—
direction	—
spreadsheet_safe	boolean

Output

Schema · Response

{
  "type": "json",
  "example": {
    "result": {
      "json": "[[\"name\",\"note\"],[\"Ada\",\"Hello, world\"]]",
      "rows": [
        [
          "name",
          "note"
        ],
        [
          "Ada",
          "Hello, world"
        ]
      ],
      "row_count": 2,
      "formula_cells_escaped": 0
    },
    "utility": "csv_table_convert",
    "provenance": {
      "execution": "deterministic_local",
      "model_used": false,
      "network_request_performed": false
    },
    "request_id": "example_csv_table_convert"
  }
}

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