Lorikeet · FinOps Profile

Lorikeet Finops

FinOps view of Lorikeet spend. Lorikeet is an enterprise AI customer support agent sold on a sales-quoted, outcome- / resolution-based model - spend tracks the volume of support tickets the agent actually resolves rather than per-API-call or per-seat charges. The primary cost driver to allocate and optimize is resolved conversations; secondary considerations are escalation (human-handoff) rate and the volume of tool/action calls into downstream systems (which may carry their own third-party costs, e.g. Stripe, Twilio).

Lorikeet Finops is the FinOps profile for Lorikeet on the APIs.io network, aligned with the FinOps Foundation Framework.

It defines 4 billable meters, billed in USD, on a monthly cycle, and pricing category outcome-based.

The profile maps 8 FOCUS columns for cost-allocation reporting.

Tagged areas include AI, Customer Support, AI Agent, FinOps, and Cost Management.

Category: AI and Machine Learning Pricing: Outcome-Based Billing: Monthly FOCUS v1.3
AICustomer SupportAI AgentFinOpsCost ManagementFOCUS

Framework Alignment

Framework
FinOps Foundation Framework
Data Spec
FOCUS v1.3

Charge Categories

UsagePurchase

FOCUS Columns

BillingCurrency
USD
ChargeCategory
Usage
InvoiceIssuerName
Lorikeet
PricingCategory
Outcome-Based
ProviderName
Lorikeet
PublisherName
Lorikeet
ServiceCategory
AI and Machine Learning
ServiceName
Lorikeet AI Support Agent

Meters

resolved_conversations
Unit: resolutions
Support conversations the AI agent resolved end-to-end; primary billed / allocated unit under resolution-based pricing.
conversations_handled
Unit: conversations
Total conversations the agent engaged (resolved plus escalated); useful for containment/deflection analysis.
escalations
Unit: escalations
Conversations handed off to a human agent; a cost-avoidance signal (unresolved by AI).
tool_invocations
Unit: invocations
Typed action / tool calls the agent makes into downstream systems; may incur third-party costs (e.g. Stripe, Twilio).

Sources