# TradepilotUSA Table Extract Text

> TradepilotUSA Table Extract Text is a paid API for AI agents from www.tradepilotusa.com, paid per call via x402, $0.25/call, status unknown (last checked 2026-10-02).

Extracts and structures tabular data from unstructured source text, creating markdown tables with ambiguity flags and evidence gaps

## Facts

- Endpoint: POST https://www.tradepilotusa.com/api/agent-commerce/v1/services/table_extract_text/execute?utm_source=zero.xyz
- Price: $0.25/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tradepilotusa-table-extract-text-2beba27e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_NL5QA7LxLwOjj6fj5ipfZ

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability tradepilotusa-table-extract-text-2beba27e -d '<json body>'
```

Example prompt: Can you extract all the tables from this text and format them as clean markdown tables? Here's the source: 'Project Alpha: $50,000 budget, 3 months, lead by Sarah. Project Beta: $30,000 budget, 6 months, lead by Tom.' The brief is to identify project details and the audience is our project management team.

## When to prefer this

Use this endpoint when you need to extract, identify, or structure tabular data from unstructured or narrative text — especially when the source may or may not contain explicit tables and you need a reliable structured output with transparency about ambiguity and gaps. Prefer this over generic LLM calls when you need provenance metadata, assumption tracking, and evidence gap reporting built into the response.

## Known failure modes

- Source text too short (under 20 characters) returns validation error
- Source text exceeds 32,000 character limit causes rejection
- Brief shorter than 10 characters or exceeding 12,000 characters triggers validation error
- No tabular or structured data found in text — endpoint still returns a derived table with evidence_gaps noted
- Malformed JSON input returns HTTP 400
- Payment failure (insufficient USDC) returns HTTP 402

## How this service works

Extract tables present in supplied text into a structured representation; preserve values and flag ambiguous cells. Uses buyer-supplied information only; no external research or outbound actions. Returns a draft for human review.

## Output

Returns a JSON object containing: a markdown-formatted table (or derived structured table if no explicit tables exist), a plain-language summary of what was found, assumptions made during extraction, evidence gaps where data was missing or unclear, a requires_human_review flag, provenance metadata (source, timestamp), and a request ID. Cells with ambiguous content are flagged inline.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "brief": {
   "type": "string",
   "maxLength": 12000,
   "minLength": 10
  },
  "audience": {
   "type": "string",
   "maxLength": 500
  },
  "source_text": {
   "type": "string",
   "maxLength": 32000,
   "minLength": 20
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "task": "table_extract_text",
  "summary": "The supplied source text contains no explicit tables. A structured summary table was created to organize the narrative information by section, topic, and details. No ambiguous cells were found. Missin",
  "artifact": "Illustrative excerpt from a synthetic provider check:\n## Extracted Tables from Source Text\n\n_No explicit tables were present in the supplied source text. However, the following structured representation is derived from the information given:_\n\n| Section | Topic                          | Details                                                                                     | Ambiguity Flag |\n|---------|--------------------------------|---------------------------------------------------------------------------------------------|----------------",
  "provenance": {
   "source": "buyer_supplied",
   "generated_at": "2026-09-22T14:42:45.464Z",
   "external_research_performed": false
  },
  "request_id": "example_table_extract_text",
  "assumptions": [
   "The source text does not contain any hidden or implied tables beyond the narrative sections.",
   "The roles and scheduling information are accurately represented as stated."
  ],
  "evidence_gaps": [
   "No numeric or tabular data on appointment delays or project budgets.",
   "No detailed consultation schedule or installation timeline tables."
  ],
  "requires_human_review": true
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tradepilotusa-table-extract-text-2beba27e/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from www.tradepilotusa.com](https://www.zero.xyz/host/www.tradepilotusa.com/llms.txt)