You will get SEC 10-K/10-Q JSON with evidence quotes & YoY metrics
Rising Talent
Project details
You will get SEC EDGAR data your agents can actually use—one structured JSON record per 10-K or 10-Q filing, built for LLM agents, RAG pipelines, and financial research.
Each filing includes verified causality events from MD&A (impact direction, risk tags, quantified impacts where disclosed, evidence quotes with section provenance and EDGAR links), period-aligned financial metrics from SEC CompanyFacts (YoY where applicable), and an agent summary with readiness scoring. Full delivery averages ~650+ lines (~35 KB) per filing. Sample PDFs are shortened previews of real work—not the generic file every client receives.
Stop spending weeks parsing MD&A and normalizing XBRL yourself. Order by filing count (10 / 100 / 1,000), then send your tickers or CIKs and whether you need 10-K, 10-Q, or both. I extract and structure those specific filings from SEC EDGAR for your list. Deliver as JSON (one file per filing) or JSONL for batch orders. Minor export tweaks (field renames, key order) are usually fine—share your target schema after ordering.
Each filing includes verified causality events from MD&A (impact direction, risk tags, quantified impacts where disclosed, evidence quotes with section provenance and EDGAR links), period-aligned financial metrics from SEC CompanyFacts (YoY where applicable), and an agent summary with readiness scoring. Full delivery averages ~650+ lines (~35 KB) per filing. Sample PDFs are shortened previews of real work—not the generic file every client receives.
Stop spending weeks parsing MD&A and normalizing XBRL yourself. Order by filing count (10 / 100 / 1,000), then send your tickers or CIKs and whether you need 10-K, 10-Q, or both. I extract and structure those specific filings from SEC EDGAR for your list. Deliver as JSON (one file per filing) or JSONL for batch orders. Minor export tweaks (field renames, key order) are usually fine—share your target schema after ordering.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$8
|
Standard
$65
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 1 day | 1 day | 1 day |
Number of Pages Mined/Scraped | 10 | 100 | 1000 |
Number of Sources Mined/Scraped | 1 | 1 | 1 |
Number of Revisions | 0 | 0 | 0 |
Frequently asked questions
About Toru
Python Data Engineer | SEC EDGAR & USPTO Patents | AI-Ready JSON | MCP
Chiba, Japan - 7:28 pm local time
SEC EDGAR (10-K / 10-Q): compliant ingestion via SEC APIs (no brittle browser automation), XBRL/CompanyFacts metrics (YoY/QoQ), MD&A and risk-factor extraction with Gemini/Vertex batch jobs, validation scores, and delivery as JSON/JSONL (one row = one filing). Proven “factory” flow: download → chunk → batch LLM → structured agent bundles → database + object storage.
USPTO patents: AI-ready patent JSON for competitive intelligence, prior art search, and R&D agents—CPC G/H (computing, telecom, semiconductors). Daily automated pipeline on Google Cloud Run (high-volume XML → enriched JSON with claims, business value fields, importance scores). MCP server available for agent integration (search, packages, structured schema).
What you get
• Structured JSON/JSONL with documented fields (identity, facts, narrative events, validation)
• Repeatable batch runs, idempotent upserts, rate-limit–safe SEC access
• Optional: Supabase/Postgres, R2/S3, Vertex Batch, MCP/xpay agent endpoints
• Milestone delivery: prototype on 1 ticker / 10 filings → scale to hundreds or thousands
Typical projects I’m hired for
• SEC filing data extraction pipelines (10-K, 10-Q, 8-K matching)
• XBRL / financial statement fact mapping
• Bulk LLM extraction from MD&A, risk factors, guidance
• USPTO patent datasets for LLM, quant, or IP analytics
• MCP tool design for “buy structured data” agent workflows
Tech stack
Python, ETL, pandas, JSON/JSONL, Google Cloud Run, Gemini/Vertex batch, Supabase, R2, BeautifulSoup/lxml (HTML sections), SEC CompanyFacts/XBRL, MCP, API integration.
How I work
Clear written scope, documented outputs, and testable milestones. I prefer chat/email on Upwork for accuracy and audit trails. Ask me for a sample schema or a one-company demo path before large bulk work.
Communication: Upwork messages only (async). No video or phone calls.
English: written technical communication only — specs, milestones, and deliverables in chat. Best fit for fixed-scope, deliverable-based work.
Steps for completing your project
After purchasing the project, send requirements so Toru can start the project.
Delivery time starts when Toru receives requirements from you.
Toru works on your project following the steps below.
Revisions may occur after the delivery date.
Confirm scope
Verify your ticker/CIK list, form types, and filing count match your tier. I confirm scope and expected delivery timing before processing your order.
Extract & validate
Pull your specified filings from SEC EDGAR and build agent-ready JSON with automated schema, period, and evidence checks before delivery.