Analytics | OpenDunes Docs

The activity API lets you pull usage data for your account — request volume, token counts, and DA spend — rolled up per day, model, and provider endpoint.

Daily activity#

Python

import os
import httpx

headers = {"Authorization": f"Bearer {os.environ['OPENDUNES_API_KEY']}"}

resp = httpx.get(
    "https://opendunes.com/api/v1/activity",
    headers=headers,
)

for row in resp.json()["data"]:
    print(row["date"], row["model"], row["requests"], "reqs,", row["usage"], "DA")

Returns the last 30 days by default. Each row contains: date, model, model_permaslug, endpoint_id, provider_name, prompt_tokens, completion_tokens, requests, and usage (DA spent).

Filter to a single day#

Python

resp = httpx.get(
    "https://opendunes.com/api/v1/activity",
    headers=headers,
    params={"date": "2026-07-02"},
)

Aggregate in your own code#

The rows are already grouped per day × model, so account-level rollups are one sum() away:

Python

rows = resp.json()["data"]

total_da = sum(r["usage"] for r in rows)
by_model = {}
for r in rows:
    by_model[r["model"]] = by_model.get(r["model"], 0) + r["usage"]

print(f"Total spend: {total_da:.2f} DA")
for model, da in sorted(by_model.items(), key=lambda x: -x[1]):
    print(f"  {model}: {da:.4f} DA")

For richer dashboards — spend over time, per-key breakdowns, request-level logs, and CSV/JSON export — use Dashboard → Analytics.

The activity API lets you pull usage data for your account — request volume, token counts, and DA spend — rolled up per day, model, and provider endpoint.

Daily activity#

Python

import os
import httpx

headers = {"Authorization": f"Bearer {os.environ['OPENDUNES_API_KEY']}"}

resp = httpx.get(
    "https://opendunes.com/api/v1/activity",
    headers=headers,
)

for row in resp.json()["data"]:
    print(row["date"], row["model"], row["requests"], "reqs,", row["usage"], "DA")

Returns the last 30 days by default. Each row contains: date, model, model_permaslug, endpoint_id, provider_name, prompt_tokens, completion_tokens, requests, and usage (DA spent).

Filter to a single day#

Python

resp = httpx.get(
    "https://opendunes.com/api/v1/activity",
    headers=headers,
    params={"date": "2026-07-02"},
)

Aggregate in your own code#

The rows are already grouped per day × model, so account-level rollups are one sum() away:

Python

rows = resp.json()["data"]

total_da = sum(r["usage"] for r in rows)
by_model = {}
for r in rows:
    by_model[r["model"]] = by_model.get(r["model"], 0) + r["usage"]

print(f"Total spend: {total_da:.2f} DA")
for model, da in sorted(by_model.items(), key=lambda x: -x[1]):
    print(f"  {model}: {da:.4f} DA")

For richer dashboards — spend over time, per-key breakdowns, request-level logs, and CSV/JSON export — use Dashboard → Analytics.