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A financial data API that normalizes SEC EDGAR XBRL filings and reconstructs missing or malformed data from the companion PDFs into a single clean structured feed

Every quant fund and fintech rebuilds this painful pipeline from scratch because no clean off-the-shelf solution handles the XBRL-PDF gap

Built for Financial analysts and compliance teams.

The angle

XBRL alone is notoriously inconsistent across filers, so the hybrid XBRL-plus-PDF reconciliation layer is the hard technical moat no commodity scraper has

“This is a batch data pipeline. Ideal candidate has: Experience with SEC EDGAR XBRL API specifically (not just general scraping) PDF/table extraction experience …”

The receipts — real demand

“This is a batch data pipeline. Ideal candidate has: Experience with SEC EDGAR XBRL API specifically (not just general scraping) PDF/table extraction experience ... Read more”
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7 / 10 · idea quality

demand score 6.2 — the receipts are below

Pain 8
Willingness to pay 6
Feasibility 6
Specificity 8
Audience 6
Competition 8

Why this is a gap

Surfaced from a high-intensity complaint with clear willingness to pay and a specific, reachable audience.

The market

Financial analysts and compliance teams extracting structured data from SEC filings. 0 monthly searches indicates this is a specialist task; teams likely use manual parsing, legacy Bloomberg terminals, or custom scripts.

Competition & the opening

Wedge play crowded — win on a narrow angle Moat 3/10 · thin angle Market 6/10 · a real vertical
Category giants · 8/10 vs CalcbenchIntrinioDaloopasec-api.ioPolygon.io (fundamentals endpoint)EdgarTools / OpenEDGAR (OSS)

At competition 1/10, no packaged tool dominates. Refinitiv and FactSet offer this as part of enterprise suites, leaving a gap for standalone XBRL/PDF extraction.

What's hard to build

SEC EDGAR XBRL API requires deep financial data format knowledge; XBRL parsing is non-trivial. PDF table extraction (especially financial statements) is fragile and requires OCR fallbacks. Feasibility 6/10 confirms this is hard: regulation-grade data quality is mandatory.

Why now

SEC EDGAR data extraction is fragmented across generic scrapers and expensive data vendors; XBRL-native tooling addresses specialized compliance and investment research need.

How you'd monetize

usage-based API pricing at $0.10–$0.50 per filing extracted