Your chosen files stay on this device

Understand your AI usage, or prepare your Obsidian vault for private AI memory.

Choose a Claude, ChatGPT, Codex, Cursor or GitHub Copilot history file for a usage report, or choose an Obsidian vault folder for a local 7C's readiness check. The files stay in this browser and are not sent to TOP.

Sunrise: tell us what you want to improve8%

Let us get your usage report in two choices.Your raw AI history stays on this computer. Nothing is uploaded while TOP prepares your report.

Complete this analysis on the computer that holds your Claude Code or Codex history. A phone does not contain those local usage files.

Choice 1 of 2

1Which coding assistant do you use?

Choose the app whose usage you want to understand.

Using Claude Chat, ChatGPT, Claude Console, or Obsidian? Open the full analyzer.

Nothing is sent automatically. After the report, you can inspect the complete content-free aggregate copy, then deliberately download or share it.

1Which Of These Applies To You?

Choose every statement that sounds like you. This helps TOP show the most useful parts of your report first.

You can make your report now. TOP is not accepting files yet.Your original file stays on this device. Please do not send files to TOP while we finish clear rules for permission, storage and deletion.

4Choose Where Your History Lives

This page opens the file on your device. It does not send the file anywhere.

Choose The Whole Claude Code Folder TOP opens only the supported .jsonl history files inside it. Everything stays on this device.

The folder address on Windows

%USERPROFILE%\.claude\projects. Copy it, click the folder button, paste it into the address bar at the top of the Windows picker, press Enter, then choose Select Folder. A website cannot type a private path into the picker for you.

Use One Or More Individual Files Instead

A giant combined raw-history file still contains your prompts and can overwhelm a browser tab. The folder button above is the safer default. For a reusable single file, use the content-free privacy option after this report.

Choose Your File Or Files

Claude Code history files (.jsonl)

Tokens are small pieces of text counted by AI services. They are a measure of usage, not a separate charge on a subscription plan.

Usage By AI Version

A Simple Example Of Price And Quality · cost information, plus invented example values

The green lines are invented only to explain the idea. TOP does not calculate what your work is worth.

cost recorded in your file possible spend after changing AI versions (estimate) invented example of useful work (not calculated) invented example after paying the AI cost (not calculated)

How much simple work might you try with a cheaper AI version? middle ground

Cost recorded in your file

Possible cost after changes estimate

Possible saving estimate

Pay-as-you-go means each amount of AI use is billed separately. Estimates use provider prices checked on 15 Jul 2026 and may differ from your bill. Claude Max, Claude Pro and ChatGPT subscriptions are not charged using the dollar estimate shown here.

Advanced Pricing Details

Prices vary by exact AI version, provider, reused input, service tier and date. AI versions we cannot match are not priced automatically.

The reused-input estimate assumes Anthropic's five-minute rate at 1.25 times normal input. A one-hour reuse write is 2 times normal input. Claude Sonnet 5 uses its introductory $2 input and $10 output rate through 31 Aug 2026.

4Remove The Conversation Before Making A Copy

This advanced Claude Code option creates a new file on your computer. It keeps AI version names, usage numbers, dates and times, new numbered sessions made on your computer, and Claude Code access settings. It leaves out prompts, replies, code, file contents and the internal ID numbers from your original file. Read the tool, run it, and inspect the new file before choosing it here.

Show The Advanced Claude Code Instructions

Advanced option for Claude Code

Choose Download Privacy Cleaner below. It saves strip_claude_logs.py.
On Windows, open PowerShell in that download folder and run py .\strip_claude_logs.py. On macOS or Linux, run python3 strip_claude_logs.py. It writes claude-usage-only.jsonl next to it.
Open that file and check it yourself. It should contain no prompts, replies, code, file contents or original internal ID numbers. It can include dates, AI version names, Claude Code access settings and new numbered sessions.
Drop that file into the box below to see it parsed locally on your device.
Download a CSV or JSON copy for yourself. TOP is not accepting external files yet.

Nothing here uploads or sends itself. Keep the downloaded copy on your device for now.

strip_claude_logs.py

#!/usr/bin/env python3
"""
strip_claude_logs.py

Reads every Claude Code session log under ~/.claude/projects and writes ONE
new file, claude-usage-only.jsonl, in the folder you run this from.

What goes IN the output file: timestamps, model IDs, token counts (input,
output, cache read, cache write), permission mode, and locally generated
session numbers.

What never gets read into the output file: prompt text, response text,
tool inputs and outputs, file contents, code, and raw session, message,
request, or event IDs. Raw IDs are used only in memory to de-duplicate
multi-part turns and map the same work session to a new sequential number.
The raw IDs are then discarded before the new file is written.

The script is deliberately readable. Read it before you run it.

Usage:
    py strip_claude_logs.py
        Content-free usage fields only. No project names.

    py strip_claude_logs.py --with-projects
        Same as above, plus a "project" field per line: the folder name
        Claude Code created for that project. This can reveal your local
        folder structure and any internal codenames, so it is off by
        default. Only use it if you're fine sharing that.
"""
import json
import os
import sys
import glob
import math
import re

INCLUDE_PROJECT = "--with-projects" in sys.argv
SRC = os.path.expanduser("~/.claude/projects")
OUT = "claude-usage-only.jsonl"

KEEP_TOP = {
    "timestamp", "permissionMode",
}
KEEP_USAGE = {
    "input_tokens", "output_tokens",
    "cache_read_input_tokens", "cache_creation_input_tokens",
}
SAFE_LABEL = re.compile(r"^[A-Za-z0-9][A-Za-z0-9._-]{0,159}$")
SAFE_TIMESTAMP = re.compile(
    r"^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(?:\.\d+)?(?:Z|[+-]\d{2}:\d{2})$"
)
MAX_SAFE_INTEGER = 9_007_199_254_740_991


def safe_label(value):
    if isinstance(value, str) and SAFE_LABEL.fullmatch(value):
        return value
    return None


def safe_timestamp(value):
    if isinstance(value, str) and SAFE_TIMESTAMP.fullmatch(value):
        return value
    return None


def safe_counter(value):
    if isinstance(value, bool) or not isinstance(value, (int, float)):
        return None
    if not math.isfinite(value) or value < 0 or value > MAX_SAFE_INTEGER:
        return None
    if not float(value).is_integer():
        return None
    return int(value)


def strip_line(raw, project_name, session_number, line_number):
    try:
        rec = json.loads(raw)
    except json.JSONDecodeError:
        return None
    if not isinstance(rec, dict):
        return None

    msg = rec.get("message")
    if not isinstance(msg, dict):
        return None
    usage = msg.get("usage")
    if not isinstance(usage, dict):
        return None

    safe_usage = {}
    for key in KEEP_USAGE:
        value = safe_counter(usage.get(key))
        if value is not None:
            safe_usage[key] = value
    if not any(value > 0 for value in safe_usage.values()):
        return None

    out = {}
    timestamp = safe_timestamp(rec.get("timestamp"))
    if timestamp:
        out["timestamp"] = timestamp
    permission_mode = safe_label(rec.get("permissionMode"))
    if permission_mode:
        out["permissionMode"] = permission_mode
    out["model"] = safe_label(msg.get("model")) or "unknown"
    out["usage"] = safe_usage

    if INCLUDE_PROJECT and project_name:
        out["project"] = safe_label(project_name) or "unnamed-project"

    raw_session_id = rec.get("sessionId")
    private_session_key = (
        ("session", str(raw_session_id))
        if raw_session_id
        else ("file", session_number)
    )

    message_id = msg.get("id")
    request_id = rec.get("requestId")
    event_id = rec.get("uuid")
    if message_id or request_id:
        private_key = private_session_key + (
            "call", str(message_id or ""), str(request_id or "")
        )
    elif event_id:
        private_key = private_session_key + ("event", str(event_id))
    else:
        private_key = private_session_key + (
            "line", session_number, line_number
        )
    return private_key, private_session_key, out


def merge_duplicate(existing, incoming):
    for key, value in incoming.get("usage", {}).items():
        old = existing["usage"].get(key)
        if isinstance(value, (int, float)) and isinstance(old, (int, float)):
            existing["usage"][key] = max(old, value)
        elif key not in existing["usage"]:
            existing["usage"][key] = value
    if incoming.get("model") and not existing.get("model"):
        existing["model"] = incoming["model"]


def main():
    if not os.path.isdir(SRC):
        print(f"No Claude Code logs found at {SRC}")
        return

    n_in = 0
    safe_calls = {}
    call_order = []
    session_aliases = {}
    pattern = os.path.join(SRC, "**", "*.jsonl")
    paths = sorted(glob.glob(pattern, recursive=True))
    for session_number, path in enumerate(paths, start=1):
        project_name = os.path.basename(os.path.dirname(path))
        with open(path, encoding="utf-8", errors="ignore") as f_in:
            for line_number, line in enumerate(f_in, start=1):
                line = line.strip()
                if not line:
                    continue
                n_in += 1
                stripped = strip_line(
                    line, project_name, session_number, line_number
                )
                if not stripped:
                    continue
                private_key, private_session_key, safe_row = stripped
                if private_session_key not in session_aliases:
                    session_aliases[private_session_key] = len(session_aliases) + 1
                safe_row["session_number"] = session_aliases[private_session_key]
                if private_key in safe_calls:
                    merge_duplicate(safe_calls[private_key], safe_row)
                else:
                    safe_calls[private_key] = safe_row
                    call_order.append(private_key)

    with open(OUT, "w", encoding="utf-8") as f_out:
        for private_key in call_order:
            f_out.write(json.dumps(safe_calls[private_key]) + "\n")

    print(f"Read {n_in} log lines, wrote {len(call_order)} safe calls to {OUT}")
    print("Open that file and check it before you use it. It should")
    print("contain no prompt text, no code, and no file contents,")
    print("and no raw session, message, request, or event IDs.")


if __name__ == "__main__":
    main()

What the new file keeps: AI version names, usage numbers, dates, new numbered sessions, Claude Code access settings and the number of AI replies. What it leaves out: your prompts, the assistant's replies, code, file contents and the original internal ID numbers. You can read both the tool and its output before choosing the new file here.

Drop your claude-usage-only.jsonl here, or click to choose

the cleaned file the tool above produced, opened on this device and never uploaded

3Choose Your Obsidian Vault Folder

Your vault is memory, not a bill.

Obsidian notes usually do not contain reliable token or cost numbers, so TOP will not invent them. This path checks the shape of your vault and looks for separate Claude or ChatGPT history files you deliberately stored inside it.

Choose My Vault Folder

TOP checks file names and folder structure first. It does not read your Markdown notes, settings or attachments.

Choose Individual History Files Use this if you already have conversations.json, one or more Claude Code JSONL files, Codex usage JSONL, or an Anthropic Console CSV.

Desktop first: folder selection works best in a current desktop browser. A manual file option remains available.

Looking for your AI usage numbers?

Opening Claude Code inside an Obsidian vault does not put its usage logs inside that vault. Choose the separate Claude Code folder below. TOP reads the JSONL session files locally and keeps only their usage fields for this report. Your prompts, code and notes stay on this device.

For Claude Code on Windows, copy this path. In the folder picker, paste it into the address bar, press Enter, then choose the folder. Do not copy raw history into a synced Obsidian vault.

%USERPROFILE%\.claude\projects

5Add Context To Your Report, Optional

We can explain the numbers better if you tell us what kind of work you do. Your answers stay in this tab. Skip any question, or skip the whole step.

How often do you use your AI assistant?

What do you primarily use your AI assistant for? choose any

What Kinds Of AI Work Do You Do? choose any

Choose every example that sounds like work you do.

How Much Effort Do You Usually Ask The AI To Use?

Choose the label you normally select. Higher levels may take longer and use more of your allowance.

What Would Make TOP Most Useful? choose any

Which Kind of Account Do You Mainly Use?

Your selections stay in this tab and can be added to the copy you deliberately download. They are not sent automatically.

Final Step

Download Or Share My Safe Report

Exact File Prepared For Download

Read this before downloading. The downloaded text file will match this preview.

Complete Research-Safe JSON

This separate file keeps every privacy-safe usage aggregate TOP calculated and the exact pricing rates applied. It includes the current value-model scenario only when the report qualifies for that illustration. Any included scenario is clearly marked as unvalidated, not a forecast result.

Before sharing it: inspect the exact JSON below. It contains aggregate usage totals, model labels, source and collector metadata, pricing references, optional answer categories, and an illustrative value scenario only when eligible. It contains no prompts, replies, code, tool output, paths, filenames, project or account identifiers, email addresses, exact times or original IDs. Nothing is sent until you deliberately use a sharing action.

privacy.network_delivery: "none" records that TOP had not transmitted the report when it was generated. A later direct submission can happen only through the separate consent step below.

Understand your AI usage, or prepare your Obsidian vault for private AI memory.

1Which coding assistant do you use?

2How would you like to prepare it?

Copy this into your AI

Choose the usage folder

Export your Cursor usage CSV

Download your Copilot usage report

1Which Of These Applies To You?

2Choose Where Your Work Lives

Which Claude history do you have?

3What Do You Want To Do With Your Downloaded History?

4Choose Where Your History Lives

Your report is ready

Which models drove that estimate?

What TOP Can Measure Today

Monthly usage

Session shapes

Usage By AI Version

A Simple Example Of Price And Quality · cost information, plus invented example values

Shareable Summary usage totals and categories, without your conversation text

Keep A Content-Free Codex Log In Obsidian

4Remove The Conversation Before Making A Copy

Advanced option for Claude Code

Usage By AI Version

Download Your Cleaned Copy

3Choose Your Obsidian Vault Folder

Looking for your AI usage numbers?

That is not your Obsidian vault

No supported AI history files found

7C's memory building blocks

Turn your vault into private AI memory with 7C's

5Add Context To Your Report, Optional

1Which coding assistant do you use?

2How would you like to prepare it?

Copy this into your AI

Choose the usage folder

Export your Cursor usage CSV

Download your Copilot usage report

1Which Of These Applies To You?

2Choose Where Your Work Lives

Which Claude history do you have?

3What Do You Want To Do With Your Downloaded History?

4Choose Where Your History Lives

Your report is ready

Which models drove that estimate?

What TOP Can Measure Today

Monthly usage

Session shapes

Usage By AI Version

A Simple Example Of Price And Quality · cost information, plus invented example values

Shareable Summary usage totals and categories, without your conversation text

Keep A Content-Free Codex Log In Obsidian

4Remove The Conversation Before Making A Copy

Advanced option for Claude Code

Usage By AI Version

Download Your Cleaned Copy

3Choose Your Obsidian Vault Folder

Looking for your AI usage numbers?

That is not your Obsidian vault

No supported AI history files found

7C's memory building blocks

Turn your vault into private AI memory with 7C's

5Add Context To Your Report, Optional

Download Or Share My Safe Report

Exact File Prepared For Download

Complete Research-Safe JSON

Optional Research Submission To Adam And Sam