Cost Monitoring API & Webhooks

Cost data where your code already lives.

A REST API for line items, rollups and anomalies. Webhooks push alerts wherever you need them.

5 min
setup, per provider
90 days
history, instantly
Same-day
anomaly alerts
  • Read-only access
  • 14-day free trial
  • No credit card required
See the overspend before the invoice does. StackSpend projects where the month lands from daily actuals. When the dashed forecast crosses your budget, you get the alert — not the surprise.

What is StackSpend for Cost Monitoring API & Webhooks?

StackSpend provides a cost monitoring API and webhooks for line items, rollups, and anomaly alerts. Use it for API cost monitoring and API billing analytics across OpenAI, Anthropic, Twilio, and other usage-based providers. Integrate cost data into dashboards, ticketing systems, and internal workflows.

The challenge

Why is this spend hard to control?

  1. 01

    Cost data lives inside yet another dashboard. Your team already uses internal tools, ticketing systems, and operational dashboards. Manually copying numbers is slow and error-prone.

  2. 02

    Anomaly alerts arrive in Slack or email, but your on-call flow lives in PagerDuty. Your CFO wants cost data in the board deck. Your eng team wants spend in Linear. Nothing talks to each other.

  3. 03

    Building custom integrations means scraping screens or waiting for CSVs. You need programmatic access — pull when you need it, push when something spikes.

The product

What does StackSpend show?

API and webhooks

Pull for dashboards, push for incidents.

Scoped API keys pull line items, rollups and anomalies; signed webhooks push anomaly events into PagerDuty or your own automation, with delivery logs and idempotency keys. Pull for dashboards, push for incidents — no CSV handoffs.

Business plan

How it works
Anomaly detection

Catch the spike the day it starts.

StackSpend learns what normal looks like per provider, account and service, then flags the day something breaks pattern, with a severity and an owner. Each one carries a lifecycle, so it gets closed.

How it works
Jira and Linear

Cost work goes where engineering already works.

Business plan

How it works

See this running against your own bill by tomorrow morning.

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Read-only · 5 minutes per provider

Built for

Who is this for?

  • Teams that need cost data inside internal dashboards, ticketing systems, or incident workflows.
  • Engineers who want to pull line items and rollups programmatically instead of exporting CSVs.
  • Organizations routing anomaly alerts into PagerDuty, Slack bots, or custom automation.
Coverage

What's included?

  • StackSpend REST API provides line items, daily rollups, and anomaly alerts. Create an API key in Settings. Use scoped permissions (e.g. read-only for reporting). Download the Postman collection to get started.
  • Webhooks deliver anomaly.created events to your endpoint via HTTP POST. Configure a URL and secret in Settings → Webhooks. When we detect a spend spike, we POST the payload. You route it to PagerDuty, a Slack bot, or your internal dashboard.
  • Combine API polling for dashboards and reports with webhooks for real-time anomaly alerts. No more manual aggregation or delayed discovery.

What we track

  • REST API (line items, rollups, anomalies)
  • Webhooks (anomaly.created)
  • API keys with scoped permissions
  • Postman collection
  • Signature verification for webhooks
Failure modes

What are the most common cost triggers?

  • An anomaly fires in PagerDuty hours late because the only integration polls manually
  • The CFO asks for total AI spend and the answer requires pulling from four separate dashboards
  • A spend spike triggers a webhook that automatically opens an incident in Linear before anyone notices
  • Weekly cost reports require manual CSV exports from every provider before they can be assembled
Native tools vs StackSpend

Why teams outgrow the native billing consoles

Native tools are built for investigation. StackSpend is built for prevention.

Provider billing APIs (direct integration per provider)

  • Each provider requires a separate integration with a different schema and auth model
  • No normalized cost data — comparing AWS and OpenAI spend requires custom mapping
  • Push notifications require custom polling or native webhook setup for each provider separately
  • CSV exports are the only option for reporting from most provider billing portals

StackSpend

  • Single API for all provider cost data with a consistent normalized schema
  • One anomaly.created webhook covers all providers — one integration for every alert
  • Line items, rollups, and anomalies available programmatically with scoped API keys
  • No more manual CSV exports — pull or push based on your workflow
Jira and Linear. Cost work goes where engineering already works.

Native tools show you last month. StackSpend tells you tomorrow.

Connect read-only in about five minutes. 90 days of history loads automatically, and the first daily signal arrives tomorrow morning.

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Read-only access · Flat plans, never a % of your bill · No credit card required

From day one

What do you get when you connect?

API surface
Line items, rollups, and anomaly endpoints with scoped API keys.
Delivery
Webhook delivery for anomaly.created events into your own systems.
Setup
Postman collection and simple HTTP endpoints for fast implementation.
Workflow fit
Pull for dashboards, push for incidents, no CSV handoffs required.
Questions

Cost Monitoring API & Webhooks, answered

How do I get cost and anomaly data into the tools my team already uses?

StackSpend exposes a REST API for line items, daily rollups, and anomalies, and pushes anomaly.created events to webhooks via HTTP POST. So instead of copying numbers between dashboards, platform teams pull spend into internal dashboards or board decks and route spike alerts straight into PagerDuty, Linear, or a Slack bot — cost data lives where on-call and reporting already happen.

How does a platform team find what caused a spike without exporting CSVs?

Query the API for line items and daily rollups filtered by provider, service, and date to drill into a spike programmatically, and subscribe to the anomaly webhook so the spike opens an incident the day it starts. Tags are applied automatically, so attribution is there without manual export-and-pivot work.

What can I build with the StackSpend cost monitoring API?

Line items, daily rollups, and anomaly alerts across every connected cloud and AI provider. Create a scoped API key in Settings (e.g. read-only for reporting), pull on demand, and receive webhook pushes when something spikes. A Postman collection is included to get started.

Is API access secured and scoped?

Yes. API keys carry scoped permissions so a reporting integration can be read-only, and every request is scoped to your organisation. Webhooks deliver signed anomaly events over HTTPS to the endpoint you configure.

Tomorrow morning: one number, in Slack.

Connect read-only today. 90 days of history loads automatically, and the first daily signal arrives with breakfast — green means nobody has to think about cost at all.

Read-only access · No agent to install · 14-day free trial · No credit card required
Cost Monitoring API & Webhooks — StackSpend