Operand

Operand is an AI-enabled pricing and commercial strategy platform for consumer retail, founded in 2024 and backed by Felicis, Y Combinator, SV Angel, and Soma Capital. It applies proprietary AI systems — an autonomous "agent swarm" — to set pricing and promotion strategy for mid-market and enterprise brands and retailers managing thousands of SKUs, volatile demand, and thin margins, running simulations to benchmark margin, revenue, and inventory-turn objectives before automating price changes. Operand is delivered as a managed platform with expert support and request-a-quote pricing rather than a public developer API; it currently publishes no OpenAPI, developer portal, or self-serve SDKs. An earlier Operand product at operand.ai offered an embeddings / semantic-search API with Python, Go, and TypeScript SDKs, now discontinued.

Operand is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Retail, Pricing, and Commercial Strategy.

Operand’s developer surface includes engineering blog and 3 more developer resources.

🌐 Visit website 📡 Source on GitHub
7.9/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyArtificial IntelligenceRetailPricingCommercial StrategyConsumerAnalytics

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 7.9/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.4 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/operand: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Operand Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Source (apis.yml)

apis.yml Raw ↑ 
aid: operand
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/operand.png
name: Operand
description: Operand is an AI-enabled pricing and commercial strategy platform for consumer retail, founded in 2024 and backed
  by Felicis, Y Combinator, SV Angel, and Soma Capital. It applies proprietary AI systems — an autonomous "agent swarm" —
  to set pricing and promotion strategy for mid-market and enterprise brands and retailers managing thousands of SKUs, volatile
  demand, and thin margins, running simulations to benchmark margin, revenue, and inventory-turn objectives before automating
  price changes. Operand is delivered as a managed platform with expert support and request-a-quote pricing rather than a
  public developer API; it currently publishes no OpenAPI, developer portal, or self-serve SDKs. An earlier Operand product
  at operand.ai offered an embeddings / semantic-search API with Python, Go, and TypeScript SDKs, now discontinued.
url: https://raw.githubusercontent.com/api-evangelist/operand/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- felicis
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Artificial Intelligence
- Retail
- Pricing
- Commercial Strategy
- Consumer
- Analytics
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://operand.com
- type: Blog
  url: https://www.operand.com/publication/
- type: GitHubOrganization
  url: https://github.com/operandinc
- type: DomainSecurity
  url: security/operand-domain-security.yml
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 1
  pass: local-v1