Contextual AI · FinOps Profile

Contextual Ai Finops

FinOps view of Contextual AI spend. The standalone Component APIs bill usage-based: Parse per 1,000 pages (basic vs. standard multimodal), Rerank per 1M tokens (v2 / v2-mini), Generate per 1M input and output tokens, and LMUnit per 1M input tokens. The full RAG agent platform (agents, datastores, query) is sales-led / contract-based and not publicly reconciled. New accounts receive $25 in free credits.

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

It defines 6 billable meters, billed in USD, on a monthly cycle, and pricing category usage-based.

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

Tagged areas include AI, RAG, LLM, Grounded Language Model, and Enterprise.

Category: AI and Machine Learning Pricing: Usage-Based Billing: Monthly FOCUS v1.3
AIRAGLLMGrounded Language ModelEnterpriseFinOpsCost ManagementFOCUS

Framework Alignment

Framework
FinOps Foundation Framework
Data Spec
FOCUS v1.3

Charge Categories

UsagePurchaseAdjustment

FOCUS Columns

BillingCurrency
USD
ChargeCategory
Usage
InvoiceIssuerName
Contextual AI
PricingCategory
Usage-Based
ProviderName
Contextual AI
PublisherName
Contextual AI
ServiceCategory
AI and Machine Learning
ServiceName
Contextual AI Platform

Meters

parse_pages
Unit: pages
Pages parsed, billed per 1,000 pages (basic text-only vs. standard multimodal).
rerank_tokens
Unit: tokens
Tokens reranked, billed per 1M tokens per reranker model (v2 / v2-mini).
generate_input_tokens
Unit: tokens
Input tokens to the Grounded Language Model, billed per 1M tokens.
generate_output_tokens
Unit: tokens
Output tokens from the Grounded Language Model, billed per 1M tokens.
lmunit_input_tokens
Unit: tokens
Input tokens to LMUnit evaluations, billed per 1M tokens.
free_credits
Unit: usd
Promotional $25 free credits applied to new accounts as an adjustment.

Sources