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power-admin

A small CLI that signs in to your Microsoft tenant and pulls Power Platform admin data into dated snapshots. You can save to a local folder or to S3.

Community tool. Not affiliated with or endorsed by Microsoft.

Run power-admin datasets to see every collector. Each one writes one or more datasets:

Collector Datasets What's in them Source
environments environments Environments with type, region and Dataverse URL Power Platform API
inventory inventory, agents, apps, flows, connectors, environment_groups, inventory_environments Every app, flow, Copilot Studio agent and connector, with owner, dates and connectors used, joined to its environment Power Platform inventory API
capacity capacity, capacity_raw, currency Storage and API capacity, plus purchased, allocated and consumed amounts per currency (Copilot credits, AI Builder and others) Power Platform API, licensing
allocations currency_allocations, billing_policies Credits allocated to each environment, the enforcement rules (alert, deny, pay-as-you-go), and billing policies Power Platform API, licensing
dataverse dataverse_agents, agent_components, agent_sessions, agent_sessions_daily Agent details (state, publish date, authentication, language), each agent's topics, tools and knowledge sources, and activity history: one row per conversation session, plus daily session counts per agent Each environment's Dataverse (bot, botcomponent, conversationtranscript tables)
credits agent_credits, agent_credits_summary, user_credits, credit_license_trends Credit usage history: Copilot credits consumed per agent and per user for each month (or day) in the date range, a per-agent total, and license and capacity trends Power Platform API, licensing insights
advisor advisor_recommendations, advisor_resources The admin center's Actions recommendations (for example unused apps or ownerless resources) and every resource they affect, including unique users over the last 30 days Power Platform API, analytics
rbac role_assignments Power Platform role assignments Power Platform API, authorization (preview)
users users, licenses, user_licenses Entra users, the tenant's license SKUs, and which user has which SKU Microsoft Graph
admin_roles admin_roles Members of each activated Entra admin role Microsoft Graph
flow_runs (opt-in) cloud_flows, flow_runs Cloud flows per environment and their run history Power Platform API, Power Automate
audit (opt-in) audit_events Purview audit events for Power Apps, Power Automate, Power Pages and admin actions, such as app launches, flow edits and DLP changes Microsoft Graph audit log query API
sign_ins (opt-in) user_sign_ins Last sign-in date per user Microsoft Graph

Opt-in collectors are slow or need extra permissions. Turn them on with --include audit or include: [audit] in the config.

Install

You need uv. In PowerShell:

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"   # if you don't have uv
uvx power-admin --help          # run without installing (once published to PyPI)
uv tool install power-admin     # or put `power-admin` on your PATH
# from a local checkout: uv tool install .

Setup

You don't need your own Entra app. For interactive and device-code sign-in, power-admin uses the public client ID of Microsoft's Azure PowerShell app (1950a258-227b-4e31-a9cf-717495945fc2), which is the same one Connect-AzAccount uses. That app is already pre-authorized for the Power Platform API and Microsoft Graph, and it doesn't need an Azure subscription. Data access still comes from your own admin roles.

power-admin configure --tenant-id contoso.onmicrosoft.com --output C:\power-admin

Your account needs the Power Platform Administrator role (or Global Administrator / Global Reader) so it can see the whole tenant. Graph reads need a role that can read users, such as Global Reader or User Administrator.

Optional: use your own app registration

Use your own app if your tenant blocks the Azure PowerShell client through Conditional Access, if you want consent scoped to exactly these permissions, or if you need app-only auth.

  1. Go to Entra admin center > App registrations > New registration. Choose single tenant.
  2. Under Authentication, add the platform Mobile and desktop applications with the redirect URI http://localhost. If you'll use device-code sign-in, also set Allow public client flows to Yes.
  3. Under API permissions, add the following delegated permissions, then click Grant admin consent:
    • Power Platform API (8578e004-a5c6-46e7-913e-12f58912df43): ResourceQuery.Resources.Read, EnvironmentManagement.Environments.Read, Licensing.Allocations.Read. If the API doesn't show up in the list, run New-MgServicePrincipal -AppId 8578e004-a5c6-46e7-913e-12f58912df43 once, using Microsoft Graph PowerShell.
    • Microsoft Graph: User.Read.All, Organization.Read.All.
  4. Pass --client-id <app-id> to power-admin configure.

Or reuse an existing PowerShell sign-in

If you're already signed in with the Az module, you can hand those tokens to power-admin:

Connect-AzAccount -Tenant contoso.onmicrosoft.com   # warns that there are no subscriptions, which is fine
$pp = Get-AzAccessToken -ResourceUrl "https://api.powerplatform.com" -AsSecureString
$gr = Get-AzAccessToken -ResourceTypeName MSGraph -AsSecureString
$env:POWER_ADMIN_PP_TOKEN    = $pp.Token | ConvertFrom-SecureString -AsPlainText
$env:POWER_ADMIN_GRAPH_TOKEN = $gr.Token | ConvertFrom-SecureString -AsPlainText
power-admin pull --auth token

Tokens last about an hour.

Use

power-admin login                       # opens a browser; the sign-in is cached in ~/.power-admin
power-admin pull                        # everything, credits from the 1st of last month to today
power-admin pull -o s3://my-bucket/power-platform --aws-profile admin
power-admin pull --only credits --from 2026-01-01   # credit history, one row per agent per month
power-admin pull --include audit --include flow_runs
power-admin pull -e <environment-id>    # limit per-environment collectors (dataverse, flow_runs)
power-admin pull --skip users -f csv    # CSV only
power-admin pull -C power-admin.yaml -p monthly     # reuse a saved profile
power-admin datasets                    # list what can be pulled
power-admin status                      # show settings and who's signed in
power-admin logout

Output layout. It's the same for a local folder and for S3, and it's partitioned so that Athena and Glue can read it directly:

<output>/agents/snapshot_date=2026-10-30/agents.jsonl
<output>/agents/snapshot_date=2026-10-30/agents.csv
<output>/agent_credits/snapshot_date=2026-10-30/agent_credits.csv
<output>/_runs/20261030T212400Z.json      # row counts and any errors for the run

Every run adds a new snapshot_date, so you build up history. If any dataset fails, the run still saves the rest, records the error in the manifest, and exits with code 1.

S3 uploads use the normal AWS credential chain, or the profile you pass with --aws-profile. Run aws sso login --profile admin first if you use SSO.

Config files and profiles

All settings can live in a YAML file, so you can reuse them across runs. Run power-admin init-config to write a commented template to power-admin.yaml.

tenant_id: contoso.onmicrosoft.com
output: ./power-admin-output
include: [audit]
credit_granularity: month        # month | day | none
transcript_content: false        # true also saves each session's conversation text

profiles:
  monthly:
    output: s3://my-bucket/power-platform
    aws_profile: admin
  automation:
    extends: monthly             # inherit everything from monthly
    auth: client-secret
    client_id: 00000000-0000-0000-0000-000000000000
  • Where the file is read from: -C file.yaml, or POWER_ADMIN_CONFIG, or ~/.power-admin/config.yaml.
  • Picking a profile: -p NAME or POWER_ADMIN_PROFILE.
  • Precedence: top-level keys < the profile (and whatever it extends) < POWER_ADMIN_<KEY> environment variables < command-line flags.
  • Checking the result: power-admin show-config -p monthly prints the merged settings.
  • Saving from the command line: power-admin configure --profile monthly --output s3://... writes to the file.
  • Secrets are never written to the file. Pass a client secret through POWER_ADMIN_CLIENT_SECRET.

Auth modes

Pick a mode with --auth / -a, or with auth: in the config file, or with POWER_ADMIN_AUTH.

Mode When to use Needs
interactive (default) You, at your desk. Opens a browser. --tenant-id (--client-id is optional)
device-code Remote or SSH shells, or when a browser can't open. You enter a code at microsoft.com/devicelogin. Same (with your own app, also turn on Allow public client flows)
client-secret Unattended runs --tenant-id, --client-id, POWER_ADMIN_CLIENT_SECRET
certificate Unattended runs without secrets --certificate-path (PEM private key) and --certificate-thumbprint
token You already signed in with Connect-AzAccount or another tool POWER_ADMIN_PP_TOKEN and POWER_ADMIN_GRAPH_TOKEN env vars

How the app-only modes (client-secret, certificate) differ:

  • The inventory API rejects app-only tokens. Microsoft only supports signed-in users there, so in these modes inventory is skipped and listed in the manifest.
  • The service principal needs extra access. It must be given a Power Platform RBAC role (see Microsoft's guide Assign RBAC roles to service principals), and for users it needs the Graph application permissions User.Read.All and Organization.Read.All.

For monthly manual runs, interactive is the simplest option.

Permissions per collector

The default sign-in (the Azure PowerShell client) covers the Power Platform API, Graph users and licenses, and Dataverse. The collectors that need more:

  • dataverse: your account needs read access to each environment's Dataverse, for example the System Administrator role there. Environments you can't read are skipped and logged. Sessions come from the ConversationTranscript table, which keeps 30 days by default unless you've extended retention.
  • admin_roles: needs RoleManagement.Read.Directory or Directory.Read.All (Global Reader works).
  • audit: needs AuditLogsQuery.Read.All, which the default client usually doesn't have. Register your own app with that delegated Graph permission and pass --client-id. Each query runs on Microsoft's side and can take several minutes.
  • sign_ins: needs AuditLog.Read.All and Entra ID P1.

Caveats

  • The credit history endpoints may change or fail. The per-agent and per-user endpoints are marked deprecated in the Power Platform API reference but still documented. The entitlement ID MCSMessages (Copilot credits) is our best reading of the docs and hasn't been tested against a live tenant yet. If you get a 400 or 404, set credit_entitlements to other values, for example [MCSMessages, MCSSessions]. Whatever happens, the admin center's Licensing > Copilot Studio > Download report remains the authoritative source.
  • Several APIs are still in preview (licensing, RBAC, advisor), so their field names may change. JSONL keeps the full raw response; CSV flattens nested fields into a.b.c columns.
  • Some usage metrics are missing. The admin center's Usage page (per-app users) has no public API. The closest stand-ins are advisor_resources.resourceUsage, audit app-launch events, agent_sessions and flow_runs.

Querying in Athena (optional)

CREATE EXTERNAL TABLE agent_credits (
  resourceId string, resourceName string, environmentId string, environmentName string,
  consumed double, unit string, lastRefreshedDate string, periodFrom string, periodTo string
)
PARTITIONED BY (snapshot_date string)
ROW FORMAT SERDE 'org.openx.data.jsonserde.JsonSerDe'
LOCATION 's3://my-bucket/power-platform/agent_credits/';
MSCK REPAIR TABLE agent_credits;

Develop

uv sync
uv run pytest

Releasing

CI runs the tests on every push and pull request. Publishing a GitHub release whose tag is v<version> (for example v0.2.0, matching version in pyproject.toml) builds the package and uploads it to PyPI.

The release uses PyPI trusted publishing, so no token is stored in GitHub. One-time setup:

  1. Add a pending publisher on PyPI under Your account > Publishing, with project power-admin, owner emptymalei, repository power-admin, workflow release.yml and environment pypi.
  2. In the GitHub repo, open Settings > Environments and create an environment called pypi.

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