industrial_platform/pdf-text-intelligence
industrial_platform--pdf-text-intelligenceThis tool calls the Actor "industrial_platform/pdf-text-intelligence" and retrieves its output results. Actor description: Extract embedded PDF text, pages and metadata. Price: $0.0015 per successful PDF.
This tool requires an x402 payment. Include a valid x402 payment signature in the request metadata (_meta["x402/payment"]). Your MCP client must support the x402 payment protocol.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| urls | Yes | **REQUIRED** Public HTTP/HTTPS PDF URLs to process. Up to 50 unique PDFs per run. Example values: ["https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"] | |
| waitSecs | No | Max seconds (0–45, default 30) to cap the wait for the Actor run to reach terminal state. For long-running Actors the response returns at the cap with the current run status; follow `nextStep` to poll via get-actor-run. Set to 0 to fire-and-forget. | |
| max_pages | No | Maximum pages extracted from each PDF. Example values: 200 | |
| concurrency | No | Maximum number of PDFs downloaded and parsed concurrently. Example values: 5 | |
| max_text_chars | No | Maximum retained text characters per PDF. Example values: 500000 | |
| timeout_seconds | No | Maximum time allowed to download each PDF. Example values: 45 |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||