SegmentStream

SegmentStream is a marketing measurement platform that gives AI agents an attribution, budget-optimization, and incrementality-testing "brain." It consolidates first-party and third-party marketing data in Google BigQuery and applies ML-powered, cross-channel attribution across 20+ ad platforms (Google Ads, Meta, TikTok, LinkedIn, Microsoft, Snapchat, Pinterest, Reddit, Criteo, and more), then recommends budget reallocation via marginal-ROAS analysis and validates impact with geo-holdout incrementality experiments. Every capability is exposed as a tool through a hosted Model Context Protocol (MCP) server, so Claude, ChatGPT, Cursor, and any MCP client can query attribution reports, manage configuration, and run BigQuery SQL over a workspace. Backed by Techstars.

SegmentStream publishes 1 API on the APIs.io network. Tagged areas include Company, Marketing Analytics, Attribution, Marketing Measurement, and Advertising.

SegmentStream’s developer surface includes documentation, getting-started guide, engineering blog, pricing, signup flow, authentication, and 18 more developer resources.

🌐 Visit website 📡 Source on GitHub

36.7/100 thin ▬ flat Agent 30/100 agent aware Full breakdown ↓
scored 2026-07-27 · rubric v0.5

AccessSelf serve

1 APIs 1 MCP Servers

CompanyMarketing AnalyticsAttributionMarketing MeasurementAdvertisingBudget OptimizationIncrementalityBigQueryMCPAI Agents

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 36.7/100 · thin

Contract Quality 0.0 / 25

Developer Ergonomics 12.6 / 20

Commercial Clarity 12.1 / 20

Operational Transparency 2.7 / 13

Governance 0.0 / 12

Discoverability 9.3 / 10

Agent readiness — 30/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 12 / 12

Machine-Readable Auth 10 / 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 5 / 5

Well-Known Catalog 4 / 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/segmentstream: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

SegmentStream MCP

Hosted Model Context Protocol server exposing SegmentStream's marketing measurement, attribution, budget-optimization, and BigQuery query capabilities as agent-callable tools (r...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

MCPServer

WellKnown

LLMsTxt

AgentSkill

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Conventions

Conventions

Conformance

Conformance

Lifecycle

Lifecycle

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 4

Authentication, authorization, and security posture

Authentication

DomainSecurity

TrustCenter

Compliance

Operate 1

Status, limits, changes, and where to get help

StatusPage

StatusPage

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: segmentstream
name: SegmentStream
description: SegmentStream is a marketing measurement platform that gives AI agents an attribution, budget-optimization, and
  incrementality-testing "brain." It consolidates first-party and third-party marketing data in Google BigQuery and applies
  ML-powered, cross-channel attribution across 20+ ad platforms (Google Ads, Meta, TikTok, LinkedIn, Microsoft, Snapchat,
  Pinterest, Reddit, Criteo, and more), then recommends budget reallocation via marginal-ROAS analysis and validates impact
  with geo-holdout incrementality experiments. Every capability is exposed as a tool through a hosted Model Context Protocol
  (MCP) server, so Claude, ChatGPT, Cursor, and any MCP client can query attribution reports, manage configuration, and run
  BigQuery SQL over a workspace. Backed by Techstars.
url: https://raw.githubusercontent.com/api-evangelist/segmentstream/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-21'
image: https://segmentstream.com/images/og-image.png
tags:
- Company
- Marketing Analytics
- Attribution
- Marketing Measurement
- Advertising
- Budget Optimization
- Incrementality
- BigQuery
- MCP
- AI Agents
apis:
- name: SegmentStream MCP
  description: Hosted Model Context Protocol server exposing SegmentStream's marketing measurement, attribution, budget-optimization,
    and BigQuery query capabilities as agent-callable tools (read-only reporting by default).
  humanURL: https://docs.segmentstream.com/mcp/overview
  baseURL: https://mcp.segmentstream.com/mcp
  tags:
  - MCP
  - Attribution
  - Marketing Measurement
  properties:
  - type: MCPServer
    url: mcp/segmentstream-mcp.yml
  - type: GettingStarted
    url: https://docs.segmentstream.com/mcp/getting-started
  - type: APIReference
    url: https://docs.segmentstream.com/mcp/supported-tools
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://segmentstream.com/
- type: DeveloperPortal
  url: https://docs.segmentstream.com/
- type: Documentation
  url: https://docs.segmentstream.com/
- type: GettingStarted
  url: https://docs.segmentstream.com/mcp/getting-started
- type: Blog
  url: https://segmentstream.com/blog
- type: Pricing
  url: https://segmentstream.com/pricing
- type: SignUp
  url: https://app.segmentstream.com/
- type: TermsOfService
  url: https://segmentstream.com/terms
- type: PrivacyPolicy
  url: https://segmentstream.com/privacy
- type: GitHubOrganization
  url: https://github.com/segmentstream
- type: StatusPage
  url: https://status.segmentstream.com
- type: MCPServer
  name: SegmentStream MCP server
  url: mcp/segmentstream-mcp.yml
- type: WellKnown
  url: well-known/segmentstream-well-known.yml
- type: LLMsTxt
  url: llms/segmentstream-llms.txt
- type: Packages
  url: packages/segmentstream-packages.yml
- type: SDKs
  url: packages/segmentstream-packages.yml
- type: Authentication
  url: authentication/segmentstream-authentication.yml
- type: Conventions
  url: conventions/segmentstream-conventions.yml
- type: Conformance
  url: conformance/segmentstream-conformance.yml
- type: Lifecycle
  url: lifecycle/segmentstream-lifecycle.yml
- type: DomainSecurity
  url: security/segmentstream-domain-security.yml
- type: TrustCenter
  url: security/segmentstream-trust-center.yml
- type: Compliance
  url: https://segmentstream.com/trust
- type: AgentSkill
  url: skills/_index.yml
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 13
  pass: local-v1