Haystack / deepset · FinOps Profile

Haystack Ai Finops

FinOps view of running Haystack and the deepset AI Platform. The open-source Haystack framework and self-hosted Hayhooks carry no deepset license fee (Apache-2.0); the real spend is the compute you run them on plus the per-token/per-call costs of the LLM, embedding, and vector-store providers your pipelines call. The hosted deepset AI Platform (deepset Cloud) is billed under a sales-led subscription/enterprise agreement, with cost dimensions across workspaces, deployed pipelines, indexed files, and search volume. Specific rates are not published and are not reconciled here.

Haystack Ai Finops is the FinOps profile for Haystack / deepset on the APIs.io network, aligned with the FinOps Foundation Framework.

It defines 5 billable meters, billed in USD, on a annual cycle, and pricing category subscription-based.

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

Tagged areas include AI, LLM, RAG, Open Source, and FinOps.

Category: AI and Machine Learning Pricing: Subscription-Based Billing: Annual FOCUS v1.3
AILLMRAGOpen SourceFinOpsCost ManagementFOCUS

Framework Alignment

Framework
FinOps Foundation Framework
Data Spec
FOCUS v1.3

Charge Categories

UsagePurchase

FOCUS Columns

BillingCurrency
USD
ChargeCategory
Purchase
InvoiceIssuerName
deepset
PricingCategory
Subscription-Based
ProviderName
deepset
PublisherName
deepset
ServiceCategory
AI and Machine Learning
ServiceName
deepset AI Platform

Meters

deployed_pipelines
Unit: pipelines
Pipelines deployed and kept running in deepset Cloud workspaces.
search_requests
Unit: requests
Queries run against deployed pipelines via the hosted search endpoint.
indexed_files
Unit: files
Files uploaded and indexed into workspaces for retrieval.
downstream_model_tokens
Unit: tokens
Tokens billed by the LLM/embedding providers that Haystack pipelines call (self-hosted or hosted). Not a deepset charge but the dominant variable cost.
compute_hours
Unit: hours
Self-hosted compute running Haystack and Hayhooks deployments.

Sources