Ops Revenue

OPS ► REVENUE & COSTS

Load ops-rules before acting. Public repo (no personal data). Outbound: one draft → one approval → one send. If AskUserQuestion / Workflow are missing, follow Rule 10 in ops-rules (Hermes: numbered options / two-turn Telegram card; delegate_task).

Runtime Context

Before executing, load available context:

1. Preferences: Read ${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json

   • timezone — display all timestamps correctly

2. Daemon health: Read ${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json

   • If action_needed is not null → surface it before the cost report

3. Secrets: AWS Cost Explorer requires credentials.

   Secret Resolution

   • AWS: check $AWS_PROFILE / $AWS_ACCESS_KEY_ID → doppler secrets get AWS_ACCESS_KEY_ID --plain → vault query cmd from prefs
   • If no credentials available, report "AWS costs unavailable — credentials not configured" and show only the revenue pipeline from registry

CLI/API Reference

AWS burn doctrine (CRITICAL — 2026-07-22)

Never report plain UnblendedCost / NetUnblendedCost totals as "spend". Startup credits, SPP discounts, and Savings Plan negation make those nets ≈ $0 while real Usage burn is hundreds/day. Always use RECORD_TYPE=Usage for burn, pace, spikes, runway, and Bedrock. Show credits only as a mask line.

Canonical helper (prefer this over raw aws ce):

${CLAUDE_PLUGIN_ROOT}/scripts/aws-usage-cost.sh snapshot 2>/dev/null || echo '{}'

${CLAUDE_PLUGIN_ROOT}/scripts/aws-usage-cost.sh all 2>/dev/null || true

Phase 1 — Gather financial data in parallel

FinOps dashboard — canonical revenue + burn

If FINOPS_DASHBOARD_URL and FINOPS_OPS_API_TOKEN are configured, the dashboard is the single source of truth for per-project MRR, 30d revenue, and current burn. Per-DBA breakdown comes from the Stripe revenue snapshots ingested via /api/ops/revenue. Falls open to {} if unset — the per-source AWS / RevenueCat queries below run as fallback.

If the dashboard current_month_spend is ≈ $0 while Usage burn from aws-usage-cost.sh is material, trust the helper (dashboard may still be credit-masked or ingest-empty). Always dual-check with the Usage helper.

${CLAUDE_PLUGIN_ROOT}/scripts/finops-bridge.sh snapshot 2>/dev/null || echo "{}"

${CLAUDE_PLUGIN_ROOT}/scripts/finops-bridge.sh revenue project 2>/dev/null || echo "{}"

When the dashboard returns data, render the per-project MRR section from groups[] rather than from RevenueCat-only data.

AWS costs — Usage burn (authoritative)

${CLAUDE_PLUGIN_ROOT}/scripts/aws-usage-cost.sh snapshot 2>/dev/null || echo '{}'

Fallback if helper missing:

USAGE_FILTER='{"Dimensions":{"Key":"RECORD_TYPE","Values":["Usage"]}}'
aws ce get-cost-and-usage \
  --time-period "Start=$(date +%Y-%m-01),End=$(date +%Y-%m-%d)" \
  --granularity MONTHLY \
  --metrics "UnblendedCost" \
  --filter "$USAGE_FILTER" \
  --group-by "Type=DIMENSION,Key=SERVICE" \
  --output json 2>/dev/null

AWS costs (last 3 months Usage trend)

USAGE_FILTER='{"Dimensions":{"Key":"RECORD_TYPE","Values":["Usage"]}}'
aws ce get-cost-and-usage \
  --time-period "Start=$(date -v-3m +%Y-%m-01 2>/dev/null || date -d '3 months ago' +%Y-%m-01),End=$(date +%Y-%m-%d)" \
  --granularity MONTHLY \
  --metrics "UnblendedCost" \
  --filter "$USAGE_FILTER" \
  --output json 2>/dev/null

AWS credits / discount mask (not spend)

${CLAUDE_PLUGIN_ROOT}/scripts/aws-usage-cost.sh record-types 2>/dev/null || echo '[]'

aws ce list-savings-plans-purchase-recommendation --output json 2>/dev/null || echo '{}'
aws ce get-credits --output json 2>/dev/null || echo "credits API unavailable"

AWS cost forecast (end of month)

Note: CE forecasts are often net-of-credits. Prefer eom_pace from aws-usage-cost.sh snapshot (7d Usage avg × days in month) as the burn forecast.

aws ce get-cost-forecast \
  --time-period "Start=$(date +%Y-%m-%d),End=$(date +%Y-%m-28)" \
  --metric "UNBLENDED_COST" \
  --granularity MONTHLY \
  --output json 2>/dev/null

Project registry (revenue stage)

cat "${CLAUDE_PLUGIN_ROOT}/scripts/registry.json" 2>/dev/null | jq '[.projects[] | {alias, name, stage: (.revenue_stage // .revenue.stage // "pre-revenue"), mrr: (.mrr // 0), source: (.source // "git"), type: (.type // "repo")}]'

External project revenue (Shopify, custom SaaS)

${CLAUDE_PLUGIN_ROOT}/bin/ops-external 2>/dev/null || echo '[]'

For Shopify projects showing status: "healthy", pull GMV via Shopify Admin API:

# For each Shopify project in registry with valid credentials:
STORE_URL="[from project.shopify.store_url]"
TOKEN="[from env var named in project.shopify.credential_key]"
curl -s -H "X-Shopify-Access-Token: $TOKEN" \
  "https://$STORE_URL/admin/api/2024-10/orders.json?status=any&created_at_min=$(date -v-30d +%Y-%m-%dT00:00:00Z 2>/dev/null)&limit=250" 2>/dev/null

Include Shopify GMV in the revenue pipeline table with source=shopify.

Phase 2 — Render dashboard

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 OPS ► REVENUE & COSTS — [month]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

AWS USAGE BURN (RECORD_TYPE=Usage — not credit-masked net)
 This month usage:    $[X]     ← from aws-usage-cost.sh mtd_usage
 Forecast (EOM pace): $[X]     ← eom_pace (7d Usage avg × days)
 Last month usage:    $[X]
 MoM change:          [+/-X%]
 7d avg/day:          $[X]

 Top services (Usage):
 [service]  $[X]  ([%] of usage)
 [service]  $[X]
 ...

CREDITS / MASK (do not report as low spend)
 Credits applied MTD:    $[X]  (record_types Credit)
 Discounts MTD:          $[X]
 Net after mask:         ~$0 is EXPECTED when credits cover burn
 Credits remaining:      $[X] (if API available)
 Expires:                [date]
 Months cover at pace:   [N]

REVENUE PIPELINE
 PROJECT        SOURCE     STAGE           MRR/GMV    STATUS
 ──────────────────────────────────────────────────────────────
 [project]      git        [stage]         $[X]       [status]
 [project]      shopify    [stage]         $[X] GMV   [status]
 [project]      custom     [stage]         $[X]       [status]
 ...
 ──────────────────────────────────────────────────────────────
 TOTAL MRR                                 $[X]
 TOTAL SHOPIFY GMV (30d)                   $[X]

RUNWAY ESTIMATE
 Monthly burn (AWS):  $[X]
 Total MRR:           $[X]
 Net burn:            $[X/month]
 Credits cover:       [N months]
 Cash runway:         [depends on external data]

──────────────────────────────────────────────────────

Use batched AskUserQuestion calls (max 4 options each):

AskUserQuestion call 1:

  [Drill into AWS costs by service]
  [Show cost anomalies (spike detection)]
  [Export cost report]
  [More...]

AskUserQuestion call 2 (only if "More..."):

  [Update project revenue stage]
  [Set budget alert]

Route by $ARGUMENTS

Use AskUserQuestion after the dashboard for next action.

Native tool usage

WebFetch — billing API fallback

When aws ce commands fail or return incomplete data, use WebFetch to query the AWS Cost Explorer API directly. Also useful for fetching Stripe/billing provider data if configured.

Write — export reports

When user selects "Export cost report" (option c), use Write to save the report as a dated file:

Write(file_path: "/tmp/ops-revenue-[date].md", content: "[formatted report]")