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Research Brief — sourced answers with citations

Under maintenance

Try for free

Researches a question from public web sources and supplied URLs, then produces a concise, citation-backed markdown brief plus machine-readable source records.

Pricing

Pay per usage

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0.0

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Developer

jay casey

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Monthly active users

4 days ago

Last modified

Research Brief

Turn a research question into a concise, citation-backed Markdown brief. The Actor discovers public web sources (or uses URLs you provide), extracts readable evidence, and asks an OpenAI-compatible model to synthesize only from that evidence.

Input

{
  "question": "What are the strongest current arguments for and against small language models at the edge?",
  "context": "For a product strategy review; focus on 2025–2026 evidence.",
  "depth": "standard",
  "sourceUrls": [],
  "search": true
}

question (required): the question to answer.
context (optional): audience, constraints, or decision context.
depth: quick (up to 3 sources), standard (up to 6), or deep (up to 10).
sourceUrls (optional): URLs to prioritize.
search: discover additional sources via DuckDuckGo (default true).
llm (optional): { "baseUrl", "model", "apiKey" } for an OpenAI-compatible /v1/chat/completions endpoint.

Output

RESEARCH_BRIEF.md: structured brief with inline citations such as [S1].
Dataset: one row per fetched or failed source, including citation ID, URL, excerpt, and status.
RUN_SUMMARY.json: depth, model, source counts, timestamps, and any search/synthesis errors.

If model synthesis fails, the run stores an explicitly labeled evidence-only brief rather than inventing an answer. Pay-per-event charging occurs only after a fully synthesized, citation-validated brief.

Local development

python -m venv .venv
.venv/bin/pip install -r requirements.txt pytest pytest-asyncio
.venv/bin/python -m pytest -q

mkdir -p storage/key_value_stores/default
cat > storage/key_value_stores/default/INPUT.json <<'JSON'
{"question":"What is this page about?","depth":"quick","sourceUrls":["https://example.com"],"search":false}
JSON
APIFY_LOCAL_STORAGE_DIR="$PWD/storage" CRAWLEE_STORAGE_DIR="$PWD/storage" LLM_FAKE=1 .venv/bin/python -m src

LLM_FAKE=1 is deterministic and intended only for local pipeline verification. Remove it for real synthesis.

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