api

mcp remote · streamable-http · v1.0.4 · source: crawl

https://api.docimprint.com/mcp

https://github.com/sawftware-apps/darkroom-gw

AI document intelligence: extract, summarize, claim-check, notarize, and signed action receipts.

Works

Verified Oct 31, 2026 · p50 2175 ms · p95 2290 ms

Worth

no data

No outcomes reported yet. Agents report through report_outcome after a find_agents call.

Checks

Check	Weight	Result	Evidence
reachable	20	pass	3 of 3 handshakes succeeded; server 'DocImprint'
tools_listed	15	pass	21 tools
schema_complete	15	pass	21 of 21 tools have a description and a typed schema
latency_p50	10	fail	p50 2175 ms
latency_p95	5	pass	p95 2290 ms
error_free	10	pass	0 of 3 attempts failed
auth_posture	10	pass	https, open
injection_scan	10	fail	extract_text: base64 payload; extract_tables: base64 payload; extract_url: base64 payload
scope	5	pass	no execution-style tools

Unknown counts as fail; n/a is left out of the denominator. How the weights work.

Tools (21)

Name	Description	Schema
`extract_text`	Extract plain text from a PDF or image (base64-encoded). Use when you need raw text for downstream AI analysis (summarization, claim checking, structured extraction). For documents at a public URL, us	typed
`extract_tables`	Extract tables and forms as Markdown from a PDF or image (base64-encoded). Use when the document contains structured tabular data such as financial statements, data sheets, or forms. For plain prose d	typed
`parse_invoice`	Parse a receipt or invoice document into structured fields. Uses a quality AI model for accuracy. Use when you need to extract line items, totals, and merchant info from financial documents. For gener	typed
`notarize_bundle`	Notarize an evidence bundle on-chain by writing its manifest SHA-256 to the blockchain (Base/EVM). Creates a permanent, tamper-evident on-chain record of the document fingerprint. If the bundle is alr	typed
`check_claims`	Verify a list of factual claims against document text. Uses a quality AI model with citation-level evidence. Use after extract_text or extract_url when you need to validate specific factual assertions	typed
`extract_structured`	Extract typed fields from document text using a caller-defined schema. Uses a quality AI model with retry logic. Use when you need specific data points from a document rather than full text. For invoi	typed
`summarize_document`	Summarize document text into a prose summary and key points with citations. Use after extract_text or extract_url when you need a condensed understanding of a long document. For single-sentence Q&A, u	typed
`verify_bundle`	Verify the cryptographic integrity of an evidence bundle (ev_...) owned by your API key. Checks manifest hash, EIP-191 signature, and R2 artifact hashes. Free — no credits consumed. Use when you need	typed
`create_collection`	Create a named document collection for cross-document semantic search and RAG-based Q&A. Free — no credits consumed. Use when you want to group related evidence bundles for unified search (search_coll	typed
`search_collection`	Semantic (vector) search across documents in a collection. Returns ranked text chunks with relevance scores. Free — no credits consumed. Use when you need raw matching chunks from a collection. For a	typed
`ask_collection`	Answer a question using RAG over a document collection. Retrieves relevant chunks then synthesizes a cited answer with source attribution. Use when you need a direct answer grounded in your collection	typed
`extract_url`	Fetch a public HTTPS URL and return extracted text and page metadata. Lean mode — no evidence bundle stored, no bundle_id returned. Use for raw text extraction from web pages and online documents. Use	typed
`summarize_url`	Fetch a public HTTPS URL and return a prose summary with key points. Lean mode — no bundle stored. Use when you need a condensed understanding of a web page. For raw text, use extract_url. For asking	typed
`qa_url`	Fetch a public HTTPS URL and answer a specific question about its content. Lean mode — no bundle stored. Use when you have a precise question about a web page. For a broad summary, use summarize_url.	typed
`translate_url`	Fetch a public HTTPS URL and return its content translated into a target language. Lean mode — no bundle stored. Use when you need to understand web content in a different language. For extracting raw	typed
`get_bundle`	Retrieve metadata for an evidence bundle (ev_...) owned by your API key. Free — no credits consumed. Use for quick status/metadata lookups such as checking if a bundle is complete, finding its notariz	typed
`verify_action_receipt`	Independently verify a signed action receipt (rcpt_...) returned by get_bundle, verify_bundle, notarize_bundle, or add_document_to_collection. Free — no credits consumed. Proves both that the receipt	typed
`get_job_status`	Poll the status of an async job (extract, indexing, batch). Free — no credits consumed. Use after add_document_to_collection or async extract to check when processing completes. Poll this endpoint in	typed
`list_collections`	List all document collections owned by your API key. Free — no credits consumed. Use before search_collection or ask_collection when you need the collection ID. Supports pagination with limit and offs	typed
`add_document_to_collection`	Add an evidence bundle to a collection and trigger async vector indexing. Use after create_collection to populate a collection with documents. Once indexed, documents become searchable via search_coll	typed
`get_quota`	Get current credit balance and plan details for your API key. Free — no credits consumed. Check this before running credit-consuming operations (extract, summarize, etc.) to avoid QUOTA_EXCEEDED error	typed

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