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PDF Text Extractor for AI Agents

by io.github.industrial-platform-ai
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Server Details

x402 PDF text, pages, and metadata for AI/RAG. $0.0015 per successful PDF.

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
Repository
industrial-platform-ai/industrial-platform-agent-tools
GitHub Stars
0
ChatGPT
–
Claude
–

TDQS

A3.8/5.0

Scored across 5 tools

Disambiguation4/5

The four platform tools target clearly different objects (a run's lifecycle vs. dataset rows vs. a single key-value record), and the descriptions explicitly steer callers away from common confusions. The only soft overlap is between the PDF Actor tool, which 'retrieves its output results,' and get-dataset-items, which also returns run output — an agent could plausibly reach for either.

Naming Consistency3/5

Four tools use a clean kebab-case verb_noun pattern (abort-actor-run, get-actor-run, get-dataset-items, get-key-value-store-record). The fifth, 'industrial_platform--pdf-text-intelligence', breaks the pattern entirely with a namespace prefix and double hyphen, reading as an Actor ID rather than a tool name.

Tool Count3/5

Five tools is a reasonable count, but only one is actually about PDF text extraction — the other four are generic Apify run/storage plumbing that would exist on any Actor-backed server. For a server branded as a PDF extractor, the surface feels padded with infrastructure rather than domain operations.

Completeness3/5

The happy path is covered (invoke the PDF Actor, poll the run, read dataset items, fetch a store record), but there are notable gaps: no way to list runs, datasets, or stores, so an agent must already hold IDs. There is also no cleanup/delete operation and no explicit input schema guidance for page ranges or batch PDFs.

Available Tools

5 tools
abort-actor-runAbort Actor runA
DestructiveIdempotent
Inspect

Abort an Actor run that is currently starting or running. For runs with status SUCCEEDED, FAILED, ABORTING, ABORTED, or TIMED-OUT, this call has no effect. The results will include the updated run details after the abort request.

USAGE:

  • Use when you need to stop a run that is taking too long or misconfigured.

USAGE EXAMPLES:

  • user_input: Abort run y2h7sK3Wc

  • user_input: Gracefully abort run y2h7sK3Wc

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.

Inputs: runId (required), gracefully. Returns: object

get-actor-runGet Actor runA
Read-onlyIdempotent
Inspect

Get detailed information about a specific Actor run.

Returns run result: status, storages (datasets/keyValueStores alias map), stats, summary, nextStep.

  • summary describes the past (e.g. "SUCCEEDED in 22s. 47 items; 3 fields available.").

  • nextStep prescribes one primary follow-up action with identifiers interpolated (e.g. "Use get-dataset-items with datasetId=...").

  • waitSecs (0–45, default 30) waits up to that many seconds for terminal status before returning.

USAGE:

  • Use to check the status of a run started by any Actor-running tool.

  • Pass waitSecs > 0 to block until terminal (or until the cap elapses).

USAGE EXAMPLES:

  • user_input: Show details of run y2h7sK3Wc

  • user_input: Wait for run y2h7sK3Wc to finish

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.

Inputs: runId (required), waitSecs. Returns: object

get-dataset-itemsGet dataset itemsA
Read-onlyIdempotent
Inspect

Get items (rows) from a dataset — the output/results produced by an Actor run. Returns the rows themselves, not dataset metadata, counts, or a schema. When the user provides a datasetId and asks to retrieve results, output, data, or rows, call this tool directly. Default limit is 20. Use clean=true to skip empty items and hidden fields.

USAGE:

  • Use when you need to read data from a dataset (all items or only selected fields).

USAGE EXAMPLES:

  • user_input: Retrieve results from dataset abc123

  • user_input: Get only metadata.url and title from dataset username~my-dataset

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.

Inputs: datasetId (required), desc, omit, clean, +4 more. Returns: object

get-key-value-store-recordGet key-value store recordA
Read-onlyIdempotent
Inspect

Get the value stored under a specific key in a key-value store — a single record, not a listing of all keys. Requires the exact key name. The response preserves the original Content-Encoding; most clients handle decompression automatically.

USAGE:

  • Use when you need to retrieve a specific record (JSON, text, or binary) from a store.

USAGE EXAMPLES:

  • user_input: Get record INPUT from store abc123

  • user_input: Get record data.json from store username~my-store

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.

Inputs: recordKey (required), keyValueStoreId (required). Returns: object

industrial_platform--pdf-text-intelligenceindustrial_platform/pdf-text-intelligenceA
Destructive
Inspect

This 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.

Inputs: urls (required), waitSecs, max_pages, concurrency, +2 more. Returns: object

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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