AI SpendOps
AI SpendOps tracks LLM API usage and costs, allocates spending, and enforces model and provider access policies through a managed proxy.
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What it does
- Evaluation and observability
Features 5
- AI cost attributionBreaks down token usage and cost by team, feature, or environment and shows which models and providers drive spend.
- Budget tracking and forecastingSets monthly budgets per team or cost centre, alerts at configurable burn thresholds and forecasts overrun risk.
- Model leaderboardShows which models and providers drive token spend, with error, cache and stream rates alongside.
- Audit trailLogs every request, policy decision and key change as a record for compliance and internal audit.
- Model and provider policy enforcementEnforces allowed models, providers and dimensions at call-time through the gateway, blocking what should not run.
Sources
- Pricing
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Pricing page: "Free for 3 months then £29/mo"
- Description
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Official documentation · 14 Oct 2026
Product page: "tracks AI costs across 16+ LLM providers"
- What it does
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Official documentation · 14 Oct 2026
Product page: "tracks AI costs across 16+ LLM providers"
- Sold within
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Sold on its own with published plans.
- Name
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Official documentation · 14 Oct 2026
Name as published on the product page.
- URL
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Official documentation · 14 Oct 2026
Product page, read 2026-10-14.
- Deployment
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Official documentation · 14 Oct 2026
Product page: "AI SpendOps is a fully managed platform."
- Interfaces
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Official documentation · 18 Oct 2026
"Replace your AI provider's base URL with the AI SpendOps proxy URL and add an X-ASO-API-Key header."; the dashboard is a web app ("dashboard.aispendops.com").
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