Common questions about Spendline, the AI spend governance platform for AI-native companies: how it attributes LLM costs, enforces budgets, and gives finance a real close for AI spend.
Spendline is purpose-built for per-customer AI cost attribution. It sits in the path of your LLM API traffic and tags every request with the customer, feature, and workflow that caused it, so you can see cost and the margin left after it per customer in real time — instead of a single untagged number on your OpenAI or Anthropic invoice.
Point your AI traffic at Spendline instead of calling the provider directly. Spendline records a financial entry for every request and attributes it to the customer, feature, or workflow you tag it with. The result is real-time per-customer, per-feature cost and margin reporting, plus an append-only ledger finance can reconcile against the provider invoice.
Spendline enforces hierarchical budgets across org, team, agent, and customer. Budgets are checked before each request is forwarded to the provider, so a looping or misbehaving agent is stopped pre-cost rather than discovered on next month’s invoice. You can also set policies that block specific models or cap tokens.
No SDK. Spendline is an in-path proxy: at each place your app constructs a provider client, you point the base URL at Spendline and add tracking headers. Most codebases have one to five such places. Existing OpenAI, Anthropic, Google, xAI, and Mistral client libraries keep working unchanged, and there is no rewrite of your application code. Teams using a coding agent can hand it https://www.spendline.ai/integrate.md and it performs the audit and the changes.
Spendline works across OpenAI, Anthropic, Google, xAI, and Mistral, plus API-served open-source models: DeepSeek, Qwen, and Llama via Together AI, Fireworks AI, or Groq, including your own endpoint for those. Because it is provider-agnostic and in-path, it can also reroute traffic to a cheaper or cross-provider model when a policy allows it.
An AI gateway routes requests and an observability tool shows you traces and latency. Spendline is the financial control layer: it attributes spend to customers and features, enforces budgets that block spend in real time, and gives finance a month-close and reconciliation workflow. It answers "which customers are profitable after AI cost?", a question gateways and observability tools are not built to answer.
Spendline pricing is a base platform fee plus a percentage of the AI spend under management. It is aimed at AI-native B2B companies with meaningful monthly LLM spend. Contact the team at fida@spendline.ai for current pricing and to request a pilot.
Spendline is built for finance-grade use: provider API keys are encrypted at rest, every account is tenant-isolated, and the spend ledger is append-only. See the Spendline security page at https://www.spendline.ai/security/ for details on data handling.
Spendline is currently onboarding companies through guided pilots rather than open self-signup. Request a pilot or assessment at https://www.spendline.ai/ or email fida@spendline.ai. Once your account is provisioned, integration is a base-URL change plus tracking headers at each place your app names a provider: no SDK required, and https://www.spendline.ai/integrate.md gives your coding agent the full instructions.