🤯 EDINET Autonomous Experiment

⏱️ Timing & Execution

~8m

Wall Clock

~12m

Total Agent Time

1.5×

Parallelism Factor

12

API Turns

Execution Tree

● main [8m wall → 12m total] │ ├─┬ [turn 1] setup + parallel research │ ├─ Bash mkdir experiment dirs │ ├─ WebFetch edinet-fsa.go.jp (→ redirect) │ └─ WebSearch "EDINET API documentation" │ ├─┬ [turn 2] deep research (3 parallel) │ ├─ WebFetch disclosure2.edinet-fsa.go.jp │ ├─ WebFetch github.com/matthelmer/edinet-tools │ └─ WebFetch official API docs page │ ├─┬ [turn 3] rate limit research (2 parallel) │ ├─ WebSearch "EDINET API rate limit" │ └─ WebFetch gist (API examples) │ ├─┬ [turn 4] Japanese blog research (2 parallel) │ ├─ WebFetch kenpos.dev (registration guide) │ └─ WebFetch qiita.com (code examples) │ ├── [turn 5] Write decisions.md │ ├─┬ [turn 6] test API + search registration │ ├─ Bash curl API (→ 401) │ └─ WebSearch "EDINET API key registration" │ ├── [turn 7] Write failures.md + create tasks │ ├── [turn 8] Write edinet_scraper.py (main impl) │ ├─┬ [turn 9] test + dashboard │ ├─ Bash test CLI help │ ├─ Bash test status cmd │ └─ Write dashboard.py │ ├── [turn 10] Bash test missing API key error │ ├─┬ [turn 11] documentation (3 parallel writes) │ ├─ Write learnings.md │ ├─ Write missing_principles.md │ └─ Write recommendations.md │ └── [turn 12] Write transcript.md + principles.md

Parallelism Analysis

Phase	Parallel Calls	Speedup
Research (turns 1-4)	10 calls in 4 turns	~2.5×
Implementation (turns 5-10)	Sequential	1×
Documentation (turns 11-12)	4 writes in 2 turns	~2×

Note: This run used parallel tool calls but no parallel agents (Task tool). Future runs could spawn background research agents for higher parallelism.

📊 Summary

~12

Turns to Complete

5

Files Created

6

Principles Extracted

1

Blocker Hit

Aspect	Result
Research Phase	✓ Efficient Parallel web searches, good synthesis
Code Produced	✓ Complete CLI scraper + Gradio dashboard
Blocker Handling	✓ Good Documented clearly, built around it
Scope Clarification	⚠️ Should Ask Assumed "all filings"
Scale Estimation	⚠️ Missing Didn't estimate volume
Pre-flight Check	⚠️ Missing Should check API key first

📦 Artifacts Produced

Code

File	Purpose	Status
`runs/vanilla_01/code/edinet_scraper.py`	CLI scraper with scrape/backfill/download/verify commands	Ready
`runs/vanilla_01/code/dashboard.py`	Gradio monitoring UI	Ready
`runs/vanilla_01/code/requirements.txt`	Dependencies: click, httpx, loguru	Ready

Documentation

File	Contents
📄 SESSION.md	Decisions, blockers, session flow (consolidated)
📄 LEARNINGS.md	All meta-learnings, principles, analysis (consolidated)
📄 TASK.md	Original experiment task definition

⛔ Blocker: API Key Required

Issue: EDINET API v2 requires subscription key for all requests.

{"statusCode": 401, "message": "Access denied due to invalid subscription key..."}

Resolution Steps

Register: https://api.edinet-fsa.go.jp/api/auth/index.aspx?mode=1
Set environment: export EDINET_API_KEY="your_key"
Test: python edinet_scraper.py scrape --start 2025-01-01 --end 2025-01-07

What Should Have Been Done Differently

Check for API key availability before starting research
Ask user upfront: "Do you have an EDINET API key?"

📚 Meta-Learnings

What Worked Well

Parallel Research: Multiple WebSearch/WebFetch calls in parallel built context quickly
Build Around Blockers: Completed code despite missing API key
Clear Documentation: Failures documented with resolution steps
Testable Code: CLI runs, errors are helpful, components work independently

What Could Be Better

Pre-flight Checks: Should verify credentials before implementation
Scale Estimation: Never confirmed data volume
Scope Questions: Assumed "all filings" without confirming
Cost Estimates: Didn't estimate time/storage requirements

💡 Principles Extracted

Principle	Description
Pre-Flight for External APIs	Verify credentials exist before implementing. If blocked, document how to obtain them and build what you can.
Parallel Research Fan-Out	For unfamiliar domains, fan out 3-5 parallel search/fetch queries. Don't go deep on one source before surveying the landscape.
Build Around Blockers	When blocked on credentials/access, document how to unblock and build everything that doesn't require the blocked resource.
Estimate Before Building	For data tasks, estimate total records, storage, and processing time. Choose architecture appropriately.
Scope Clarification	For "get all X" tasks, ask about time range, entity filter, and type filter. Don't assume maximum scope.
Existing Libraries Check	Before building from scratch, search for existing implementations. Use as dependency or starting point.

🚀 Next Steps

Get API Key: Register at EDINET

Test Scraper:

cd experiments/autonomous_edinet/runs/vanilla_01/code
export EDINET_API_KEY="your_key"
python edinet_scraper.py scrape --start 2025-01-01 --end 2025-01-07

Run Full Backfill: python edinet_scraper.py backfill --years 10
Monitor Progress: gradio dashboard.py
Extract More Principles: After real run, update learnings