JTPCK

API Docs

This free API returns your own Claude, Codex, etc usage summary and daily time series data in a standard JSON format.

Precursor

The very first think required is creating an account, as you need the public and private UUIDs created for every user upon signup. Next, make sure you enable the public api endpoint in your settings. Then you want to run our installer which turns on and configures OpenTelemetry for Claude Code, Codex, & Gemini or install manually. Now you're all set, just use your tools normally and let your data come in for a day or so you have some API data to work with.

Endpoint

Base URL

https://JTPCK.com

Get usage summary

GET /api/v1/public/{public_id}

Returns a single JSON document containing:

A top level name
Aggregate stats for the requested period
A daily time_series array for the requested period

Parameters

public_id (required, UUID)

Example: 1b2fa7aa-7838-41f4-8e5b-7bfc889d54dd

period (optional)

Allowed values: 7d, 30d, 90d

Default: 7d

Meaning: the size of the returned daily window in stats.time_series

fields (optional)

Comma-separated fields to include. Supports dot notation (e.g., stats.total_events)

Examples:

fields=name,stats.total_events,stats.total_tokens
fields=stats.time_series - time series only
fields=stats - all stats

Default: all fields if omitted

Example request

curl "https://JTPCK.com/api/v1/public/1b2fa7aa-7838-41f4-8e5b-7bfc889d54dd?period=7d"

You can also see a sample right here in your browser.

Field filtering example

curl "https://JTPCK.com/api/v1/public/1b2fa7aa-7838-41f4-8e5b-7bfc889d54dd?period=7d&fields=name,stats.total_events,stats.total_tokens"

# Returns:
{
  "name": "Alex Smith",
  "stats": {
    "total_events": 11,
    "total_tokens": 10096
  }
}

Response

Success (200 OK)

Content type: application/json

Response body shape

Top level

name (string)
stats (object)
generated_at (string, RFC 3339 timestamp)

stats

total_events (integer): total number of events in the period
total_tokens (integer): total tokens in the period
input_tokens (integer): total input tokens in the period
output_tokens (integer): total output tokens in the period
avg_latency_ms (integer): average latency in milliseconds across events in the period
success_rate (number): success rate percentage for the period (0 to 100)
events_by_model (object<string, integer>): event count per model
tokens_by_model (object<string, integer>): token count per model
events_by_provider (object<string, integer>): event count per provider
events_by_application (object<string, integer>): event count per application
time_series (array): daily tokens and sessions for the period
sessions_count (integer): total coding sessions in the period
weekly_avg_sessions (integer): average sessions per week in the period
total_commits (integer): total commits made across all sessions
total_active_time_seconds (integer): total active coding time in seconds
total_lines_of_code (integer): total lines of code written
cache_efficiency (number): cache hit rate percentage (0 to 100)

time_series[] items

date (string, YYYY-MM-DD)
tokens (integer): total tokens for that day
tokens_by_model (object<string, integer>): tokens for that day grouped by model
coding_sessions (integer): number of coding sessions started on that day

Time series expectations

The time_series array contains one entry per day for the requested period (7, 30, or 90 days).
Days with no activity are included with tokens: 0.
Dates are returned in ascending order.

Example response

{
  "name": "Alex Smith",
  "stats": {
    "total_events": 11,
    "total_tokens": 10096,
    "input_tokens": 7118,
    "output_tokens": 2978,
    "avg_latency_ms": 1408,
    "success_rate": 81.8,
    "events_by_model": {
      "gpt-4": 7,
      "claude-3-opus": 3,
      "gpt-3.5-turbo": 1
    },
    "tokens_by_model": {
      "gpt-4": 6531,
      "claude-3-opus": 2917,
      "gpt-3.5-turbo": 648
    },
    "events_by_provider": {
      "anthropic": 6,
      "openai": 5
    },
    "events_by_application": {
      "claude-code": 11
    },
    "time_series": [
      {
        "date": "2026-01-01",
        "tokens": 1390,
        "tokens_by_model": { "gpt-4": 1390, "claude-3-opus": 0, "gpt-3.5-turbo": 0 },
        "coding_sessions": 2
      }
    ],
    "sessions_count": 8,
    "weekly_avg_sessions": 8,
    "total_commits": 12,
    "total_active_time_seconds": 14523,
    "total_lines_of_code": 847,
    "cache_efficiency": 23.4
  },
  "generated_at": "2026-01-08T17:25:24Z"
}

Errors

All error responses are JSON with this shape:

{
  "error": {
    "code": "string",
    "message": "string"
  }
}

Common error codes

400 Bad Request

invalid_period: period must be one of 7d, 30d, 90d

404 Not Found

not_found: User not found or API access disabled

429 Too Many Requests

rate_limited: too many requests

500 Internal Server Error

server_error: unexpected error

Notes

This endpoint returns only the data associated with the provided public_id. Model, provider, and application keys are returned as strings and may expand over time as new integrations are added. Events with unknown or null model/provider values are excluded from the response.