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Journalists
Turn research documents into a structured knowledge base
Research documents pile up — court records, FOIA responses, leaked docs, interview transcripts. Endpoints extracts names, dates, organizations, quotes, and key facts into queryable data so you can find connections across hundreds of pages.
The problem
- Research documents pile up — court records, FOIA responses, leaked docs, interview transcripts.
- Finding connections across hundreds of pages is overwhelming.
- Source tracking is scattered across notebooks and apps.
The solution
- Scan source documents, interview notes, public records, and FOIA responses.
- Endpoints extracts names, dates, organizations, quotes, and key facts into queryable data.
- Build a structured knowledge base as your investigation progresses.
How it works
Step 1
Upload source documents
Upload a batch of FOIA response PDFs
Step 2
AI extracts entities
AI extracts: names, organizations, dates, dollar amounts, key findings
Step 3
Query your endpoint
Query /investigation/city-contracts for all extracted entities
Step 4
Cross-reference
Cross-reference names across multiple document scans
Sample API response
GET/investigation/city-contracts
{
"documentTitle": "FOIA Response — Public Works Contracts",
"sourceType": "FOIA",
"people": [
"Jane Smith",
"Robert Johnson"
],
"organizations": [
"City of Springfield",
"BuildCo Inc"
],
"dates": [
"2025-06-15",
"2025-09-01"
],
"amounts": [
"$2,400,000",
"$180,000"
],
"keyFindings": [
"Contract awarded without competitive bidding",
"Payment terms modified after signing"
]
}Ready to get started?
Turn any document into a structured API endpoint. Free to start, no credit card required.
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