DiligenceSquared

By DiligenceSquared

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Overview

Access DiligenceSquared market and commercial due diligence research. Search across a project's interviews in natural language, pull verbatim quotes with named expert attribution, and retrieve report sections and underlying data for any engagement on the platform.

Tools

fetch

ChatGPT

Fetch the full document behind an id. Accepts ids from search (transcript:<uuid>) and the fetch_id fields the report getters return (exhibit:<uuid>), plus qa:<uuid> and report:<project uuid>. Transcripts return windowed content; the report returns its curated payload. An exhibit returns its description plus, for chart/visual exhibits, the visualization source — a React component with the numbers, labels, and any quotes inlined (the same content the report shows). For verbatim expert quotes behind an exhibit, drill into the Expert Q&A (get_expert_qa_answers) or transcripts (search / fetch transcript:<id>).

get_expert_qa_answers

ChatGPT

Read every expert's answer to one Expert Q&A question. Returns per-transcript rows with the expert reference (byline), short and detailed answers, and the supporting transcript quote. Page with limit/offset for questions answered across many calls.

get_report

ChatGPT

Read the project report (client view): sections, the questions under each, and exhibit references (headline + fetch_id) — grouped by parent question. Pass question_ids (from get_report_outline) to fetch specific questions; omit for the whole report. Exhibits come as stubs with a fetch_id — call fetch("exhibit:<id>") for an exhibit's description + visualization source (React component with the data inlined). Large reports set truncated + remaining_question_ids; page with question_ids. Omit published_version_id for the latest published version (what the client sees); pass one from list_report_versions to read a specific version.

get_report_outline

ChatGPT

Browse the report's structure before pulling content. Returns sections (scopes) → parent questions → the exhibits under each (headline + fetch_id), with no narrative text. Use it to navigate, then get_report(question_ids=[...]) for the full content, or fetch("exhibit:<id>") for an exhibit's description + visualization source. Omit published_version_id for the latest published version (what the client sees); pass one from list_report_versions to browse a specific version.

get_transcript

ChatGPT

Read a transcript's content (windowed). Returns up to max_chars characters starting at offset, with content_total_chars and next_offset for paging through long transcripts. Content reflects your project's anonymization settings.

list_expert_qa_questions

ChatGPT

List the Expert Q&A questions available for a project. Each entry has a subquestion_id — pass it to get_expert_qa_answers to read every expert's answer to that question.

list_projects

ChatGPT

List the DiligenceSquared projects your account can access. Returns each project's id (used by every other tool), name, industry, and which surfaces are available: transcripts are always available; expert_qa_available / report_available reflect whether those deliverables have been published to clients yet.

list_report_versions

ChatGPT

List the published report versions the client can see (multi-version). Each is a label (never an internal version number) with its id and whether it is the default — the version get_report / get_report_outline read when no published_version_id is given. Pass an id back to those tools to read a specific version. An empty list means nothing is published to the client yet.

list_transcripts

ChatGPT

List expert call transcripts for a project. Returns transcript metadata (id, reference/byline, name, call date) — use get_transcript to read content. Page with limit/offset; total is the full count.

search

ChatGPT

Semantic search over your projects' expert-call transcripts. Finds the passages most relevant to query across many transcripts and returns them ranked, each with a fetch id. This is the tool for "what did experts say about X" — open-ended, thematic, cross-call questions. For the other surfaces, use the structured getters (the progressive pattern): Expert Q&A via list_expert_qa_questions → get_expert_qa_answers; the report via get_report_outline → get_report; a full transcript via get_transcript. Exact competitor/vendor names are often better reached via the Expert Q&A getters than semantic search. Breadth-first: max_transcripts (default 50) controls how many transcripts are covered; max_chunks_per_transcript (default 3) how much of each. Scope to one project with project_id, or omit to search across your accessible projects (up to 10; projects_truncated flags when more exist). Page with offset/next_offset — the way to read past the host's result-size cap.