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FastX402 Markdown Table Format
x402
FastX402 Markdown Table Format is a paid API for AI agents from fastx402.tools, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-30).
Converts an array of row objects and column names into a formatted Markdown table string
Price / call$0.001
Success—
StatusUnknown
How this service works
200 pay-per-call tools for AI agents, from $0.001 per request in USDC on Base or Solana with x402. No account, no API key.
Output
Returns a JSON object containing a 'markdown' string field with a properly formatted Markdown table, including header row with separator dashes and aligned pipe-delimited columns, ready to paste into any Markdown document.
Example use cases
README table for project contributors
“I have a list of contributors: [{"name":"Alice","team":"Backend"},{"name":"Bob","team":"Frontend"}] with columns ["name","team"] — can you format that as a markdown table I can paste into my README?”
Format API comparison data
“Format this API comparison as a markdown table with columns ["provider","price","latency"] and rows [{"provider":"FastX402","price":"$0.001","latency":"fast"},{"provider":"Other","price":"$0.01","latency":"slow"}].”
Display sprint task list in markdown
“Convert my sprint tasks into a markdown table — columns are ["task","assignee","status"] and rows are [{"task":"Fix login bug","assignee":"Sam","status":"In Progress"},{"task":"Write docs","assignee":"Jo","status":"Done"}].”
Technical details
Endpoint
GEThttps://fastx402.tools/markdown-table-format?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, zero-setup conversion of JSON row/column data into a Markdown table without installing any libraries. Ideal for AI agents that need to produce formatted tables for README files, documentation, reports, or chat responses. Best when you already have structured data (up to 200 rows and 20 columns) and want a guaranteed-valid Markdown string back, paying only $0.001 USDC with no account or API key required.
Side effects
- Missing required 'rows' query parameter returns an error
- Missing required 'columns' query parameter returns an error
- Malformed JSON in rows or columns parameters causes a parse error
- More than 200 rows or more than 20 columns may be rejected
- Payment failure (402) if USDC payment on Base or Solana is not completed
- Row objects containing keys not in the columns list may be silently dropped or cause unexpected output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"markdown": "| name | role |\n| ---- | -------- |\n| Ada | Engineer |\n| Lin | Writer |"
}
}Tags
x402
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