AI cost operations for engineering and finance

Track AI usage, tokens, and spend across providers
for engineering and finance teams.

CostLynx tracks usage, token, and cost metadata through API-first ingestion and supported provider connections. Teams use token-level attribution, budgets, and alerts to keep AI spend visible — plus capability-aware savings opportunities and pricing provenance where you need deeper decisions (not automatic changes to production).

Reduce AI costs without compromising model performance.

Start tracking usage →See how it works

Multi-provider trackingToken-level attributionBudgets & anomaly alertsAPI-first ingestion

Tracks usage metadata only — no prompt or response storage required.

app.costlynx.com/dashboard

Preview

Overview

Last 30 days · All projects

Last 30 daysAll orgs

Total spend

$8,420

↑ 12.3% vs prev

Tokens in

84M

↑ 8.7% vs prev

Tokens out

21M

↑ 15.4% vs prev

Avg / 1K tokens

$0.0810

↓ 3.1% vs prev

Spend trend

DayWeekMonth

Mar 24Apr 1Apr 8Apr 15Apr 22

Top drivers

gpt-4o-mini47%
$3,957
claude-3-haiku31%
$2,610
gpt-4o16%
$1,347

Active alerts

Budget 78%

Search API · org-level

2d ago

Spend spike

Chat feature · production

5h ago

Built for teams shipping AI in production

Engineering

Ship faster with cost guardrails

Platform & MLOps

One control plane for usage

AI product

Model mix tied to unit cost

FinOps & Finance

Forecasting & chargeback

Leadership

Executive-ready visibility

Governance & trust

Enterprise-grade controls, not an afterthought

CostLynx is designed for organizations that need clear ownership of spend, access, and vendor diligence — not just another dashboard.

Security posture

TLS for traffic, least-privilege product roles, and a documented path for questionnaires and DPAs.

Data handling

Usage and billing metadata handled with operational discipline — with export options for your systems of record.

SSO & enterprise

Supports SSO (SAML) and MFA via your identity provider on Enterprise, plus procurement-friendly workflows — align with how you onboard vendors.

Audit readiness

Attribution, budgets, alerts, and org security audit logs (Enterprise) support reviews, SOC2-aligned workflows, and procurement.

Read the full trust center →

Platform

AI cost management built for scale

CostLynx tracks multi-provider AI usage and spend in one platform, so engineering and finance teams work from the same operational cost data.

Documentation →Security & trust →Pricing →

Ingestion

API-first ingestion

API ingestion is the primary path. You can also send events through SDK instrumentation and supported provider sync, all normalized to one usage schema.

Governance

Governance and attribution

Use an organization → project → environment hierarchy to assign spend, support chargeback and showback, and keep teams financially accountable.

Alerts

Threshold and anomaly alerts

Set budget thresholds and anomaly rules with notifications to Slack and email. Rules are evaluated on a schedule, not as real-time streaming events.

Product capabilities

What teams use day to day

Practical capabilities for ongoing cost operations across engineering and finance.

Spend visibility

Track spend by organization, project, environment, provider, and model from a single timeline.

Token usage analytics

Review input, output, and cached tokens with cost-per-1k context for day-to-day decisions.

Chargeback and showback

Allocate costs to teams and workloads using consistent attribution fields and exportable rollups.

Provider and model comparison

Compare cost and usage across OpenAI, Anthropic, Google, and Azure using the same operational data your budgets use.

Budget and anomaly operations

Set thresholds, investigate variances, and notify owners before spend drifts too far from plan.

Savings opportunities

Same-provider and cross-provider recommendations with clear pricing provenance — estimates you review before any routing change.

Control plane

One operational layer for AI cost

Manage dashboards, policies, and APIs together so monitoring, governance, and reporting stay consistent as usage scales.

Dashboards

Use overview, usage, and cost dashboards to monitor spend trends across providers, models, and environments.

Policies

Apply budgets and alert policies by organization, project, and environment with clear ownership for follow-up.

APIs and keys

Manage ingestion keys for applications and API keys for automation from one operational layer.

Operational workflows

Run day-to-day cost operations from one place: investigate variance, review alerts, and export data.

Features

Everything your team needs

One platform. No stitching together spreadsheets and dashboards.

Visibility

Overview dashboard with KPIs
Spend trend (day / week / month)
Usage analytics by provider & model

Attribution

Cost by team, project, environment
Chargeback & showback reports
Multi-org support

Alerting

Anomaly detection (z-score)
Budget thresholds & burn-down
Slack & email notifications

Ingestion

Ingestion keys for SDK / API
Provider connections
Idempotent event deduplication

Operations

API keys for programmatic access
Multi-environment support
Role-based access control

Savings intelligence

Pricing provenance: organisation override → billing → public list → unavailable
Capability-aware recommendations from usage; simulated evaluation with optional live testing
Estimated savings opportunities — not auto-applied; no guaranteed outcomes
CSV export and API access for finance and engineering workflows

How it works

Instrumented in hours, not weeks

CostLynx fits into your existing stack without changes to your inference layer or data pipeline.

Instrument your inference calls

Generate an ingestion key and send usage events to the CostLynx REST API after each LLM call — provider, model, token counts, and optional cost. OpenAI connections can also sync automatically; Anthropic, Gemini, and Azure route through API ingestion.

One API call per inference request. No changes to your prompt logic or provider SDK.

Tag spend at the source

Each ingestion event carries attribution metadata you define: organization, project, environment, and feature. CostLynx uses these labels to group and report spend — so attribution accuracy depends on consistent tagging in your application code.

Labels can match your existing project slugs and team structure. No separate taxonomy required.

Define budgets and anomaly thresholds

Set spend budgets at the org, project, or environment level. Configure alert rules that notify your team via Slack when spend crosses a threshold or spikes unexpectedly. Anomaly evaluation runs on a periodic schedule — not in real time.

Statistical detection uses z-score and day-over-day comparison against your own historical baseline.

Review spend, savings opportunities, and stakeholders

Dashboard breakdowns by model, provider, project, and team give platform and FinOps teams shared context to prioritize changes, negotiate provider agreements, and produce attribution reports. Savings views estimate potential impact from analyzed usage and resolved pricing — you choose what to implement.

Export data via API or CSV. Estimates depend on pricing resolution; provider-specific rates may differ from public list prices.

Pricing