Dot Product

Dot Product is a San Francisco AI startup founded in 2024 by Usman Masood (former CTO of Pipe and engineering manager at Stripe) and Maksim Stepanenko (previously at Coinbase, Primer, Locu, and the MIT Media Lab). The company builds "Operator," a platform of voice-first AI coworkers (agents) for operations and customer-support teams: AI agents that follow company-specific playbooks, provide 24/7 phone/voice support, and scale to fluctuating demand as an alternative to traditional call centers. Dot Product raised a $6M seed round led by Index Ventures with participation from Lachy Groom. As of this enrichment pass the company operates in stealth: the product surface (operator.xyz) does not resolve publicly and dotproduct.xyz is parked, so no public API, developer docs, SDKs, or machine-readable specifications could be verified. Sector: ai-ml.

Dot Product is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Voice Agents, Customer Service, and AI Agents.

🌐 Visit website 📡 Profile data on GitHub

2.1/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

0 APIs

Company Artificial Intelligence Voice Agents Customer Service AI Agents Conversational AI

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 2.1/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 0.0 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

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

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the AI & Biometrics regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document Ask about this →
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey) Ask about this →
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →

13 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points Ask about this →
Developer Ergonomics scores 0.0 — up to +20.0 composite points Ask about this →
Access Clarity scores 0.0 — up to +20.0 composite points Ask about this →

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/dot-product/apis.yml: open an issue on github.com/api-evangelist/dot-product to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

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

Dot Product Domain Security

DNSSEC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: dot-product
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-13'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/dot-product.png
name: Dot Product
description: 'Dot Product is a San Francisco AI startup founded in 2024 by Usman Masood (former CTO of Pipe and engineering
  manager at Stripe) and Maksim Stepanenko (previously at Coinbase, Primer, Locu, and the MIT Media Lab). The company builds
  "Operator," a platform of voice-first AI coworkers (agents) for operations and customer-support teams: AI agents that follow
  company-specific playbooks, provide 24/7 phone/voice support, and scale to fluctuating demand as an alternative to traditional
  call centers. Dot Product raised a $6M seed round led by Index Ventures with participation from Lachy Groom. As of this
  enrichment pass the company operates in stealth: the product surface (operator.xyz) does not resolve publicly and dotproduct.xyz
  is parked, so no public API, developer docs, SDKs, or machine-readable specifications could be verified. Sector: ai-ml.'
url: https://raw.githubusercontent.com/api-evangelist/dot-product/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- index-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Artificial Intelligence
- Voice Agents
- Customer Service
- AI Agents
- Conversational AI
tags_raw:
- Company
- Ai Ml
- Artificial Intelligence
- Voice Agents
- Customer Support
- Operations
- AI Agents
- Conversational AI
- Customer-Support
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/dot-product-domain-security.yml
- type: Website
  url: https://dotproduct.xyz/
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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