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Forward Guidance Extraction API
Build an API that detects and structures management guidance from 8-K exhibits, especially earnings press releases, into normalized JSON for traders and research systems. The product wins by combining reliable exhibit parsing, precision filters, and bulk coverage rather than acting like a generic filing downloader.
為什麼這很重要
You trade around earnings or maintain a research pipeline, and every quarter you face the same problem: the filing arrives fast, but the useful guidance is buried in an attachment with inconsistent formatting. Generic text APIs give you the whole document and leave interpretation to you. Simple keyword rules pick up historical earnings lines and miss the actual outlook. If you want to run this across hundreds of names, manual review does not scale. What you really need is a service that tells you what guidance was issued, in what format, and how confident the extraction is, while still letting you inspect the source when the model is wrong.
- · 專為 Independent quants, small hedge funds, financial data engineers, and systematic traders who need machine-readable guidance signals from public filings. 打造。
- · 最可能的變現方式：SaaS subscription。
痛點敘事
You trade around earnings or maintain a research pipeline, and every quarter you face the same problem: the filing arrives fast, but the useful guidance is buried in an attachment with inconsistent formatting. Generic text APIs give you the whole document and leave interpretation to you. Simple keyword rules pick up historical earnings lines and miss the actual outlook. If you want to run this across hundreds of names, manual review does not scale. What you really need is a service that tells you what guidance was issued, in what format, and how confident the extraction is, while still letting you inspect the source when the model is wrong.
得分構成
市場信號
Go-to-Market 啟動方案
Solo quant developers and sub-20-person investment research teams already consuming SEC data programmatically.
~10K-30K active global users in the initial niche
cold outbound
$149/month
10 paying users processing live earnings filings within 30 days
MVP 方案 · 1-2 週
- Build a crawler to fetch recent 8-K filings and linked Exhibit 99.1 documents for a fixed S&P 500 subset
- Create a parser that converts HTML, text, and common exhibit variants into normalized plain text
- Define a JSON schema for guidance outputs including company, metric, period, value range, and confidence
- Implement rule-based sentence and section detection focused on outlook-related headings
- Store raw exhibits and parsed outputs by accession number for audit and debugging
- Add precision filters to separate historical performance statements from future guidance
- Expose a REST endpoint for single ticker, multi-ticker, and historical date-range queries
- Create a simple dashboard showing extracted guidance alongside source evidence spans
- Run evaluation on 100 recent filings and manually label false positives and misses
- Set up billing, API keys, and usage metering for a closed beta
差異化
為什麼這件事可能失敗
自我反駁——最重要的信任度信號
- 1Extraction quality may not beat internal scripts enough to justify ongoing subscription spend for sophisticated users.
- 2The niche may be too narrow if only a small subset of traders values forward-guidance parsing enough to pay premium prices.
- 3Larger financial data vendors could add a similar feature once the demand pattern becomes obvious.
證據綜述
AI 如何合成此洞察——無原話引用
Several remarks point to the same unmet need: people do not just want filing retrieval, they want the actual guidance extracted accurately and at scale. Roughly four comments highlighted issues with false positives, missing guidance, or the need for better precision. Multiple participants also stressed bulk processing and structured outputs for downstream automation, and one directly suggested it could be sold as a subscription.
行動計畫
在寫程式之前，先驗證這個商機
建議下一步
直接做
需求訊號強烈。痛點真實、付費意願明確——啟動 MVP 開發。
落地頁文案包
基於真實 Reddit 評論整理的即用文案，可直接貼到落地頁
主標題
Forward Guidance Extraction API
副標題
Build an API that detects and structures management guidance from 8-K exhibits, especially earnings press releases, into normalized JSON for traders and research systems. The product wins by combining reliable exhibit parsing, precision filters, and bulk coverage rather than acting like a generic filing downloader.
目標使用者
適合：Independent quants, small hedge funds, financial data engineers, and systematic traders who need machine-readable guidance signals from public filings.
功能列表
✓ Bulk extraction of guidance text from 8-K exhibits ✓ Structured JSON fields for metric, period, range, and confidence ✓ Historical backfill plus real-time daily ingestion ✓ Evidence trace and raw text retention for debugging ✓ Ticker and accession-number level API endpoints
去哪裡驗證
把落地頁連結發布到 r/r/algotrading——這裡就是這些痛點被發現的地方。
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