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 is listed with 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, CLI, and 24 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

47.4/100 developing ▬ flat Agent 36/100 agent ready Front door AI 5/6 prominent Heartbeat 52/100 going silent saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaidSelf serve

1 API 1 MCP Servers 4 Agent Skills

Company Marketing Analytics Attribution Marketing Measurement AdvertisingBudget OptimizationIncrementality BigQuery MCP AI Agents A2A

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 47.4/100 · developing

Contract Quality 0.0 / 21

Developer Ergonomics 12.5 / 17

Access Clarity 14.8 / 17

Operational Transparency 2.9 / 11

Contract Governance 1.9 / 10

Discoverability 6.4 / 9

Regulatory Posture 4.4 / 15

Agent readiness — 36/100 · agent ready

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 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 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 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 Horizontal (data, software, accessibility, platform) 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
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks

5 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
Contract Governance scores 18.2 — up to +9.8 composite points
Operational Transparency scores 26.3 — up to +9.6 composite points

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.

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/segmentstream/apis.yml: open an issue on github.com/api-evangelist/segmentstream 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
AI Agents (A2A agent cards)	undeclared	-	-	1

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 5

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Agent2Agent

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

Agent Skills

measured — observed by APIs.io (published)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

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.

SegmentStream MCP Server

Hosted remote MCP server that gives AI tools secure, read-only access to a SegmentStream workspace via the Model Context Protocol. Exposes marketing measurement, attribution, bu...

MCP SERVER

Agent Skills 4

Packaged agent skills for driving this provider's APIs from an AI assistant.

Configure conversions and query performance

AGENT SKILL

Measure attribution and optimize ad spend

AGENT SKILL

Segmentstream

AGENT SKILL

Read geo-incrementality experiment results

AGENT SKILL

SegmentStream API pricing

Prices published by SegmentStream.

Plan	Price
Online	$800
Full Funnel	$1200
Enterprise	$5000

Plan details, limits and sources →

Billed by: subscription · FinOps profile →

Pricing Plans 2

Published pricing tiers and plan structures.

Segmentstream Plans Pricing

3 plans

PLANS

Segmentstream Price Estimates

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Segmentstream Rate Limits

0 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Segmentstream Finops

FINOPS

Security Posture 3

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

Segmentstream Authentication

oauth2 · 1 scheme

SECURITY

Segmentstream Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Segmentstream Trust Center

SOC 2, GDPR

SECURITY

Resources

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 5

Pagination, idempotency, versioning, errors, and events

Conventions

Conformance

Lifecycle

ErrorCatalog

Components

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 4

Authentication, authorization, and security posture

Authentication

DomainSecurity

TrustCenter

Compliance

Operate 3

Status, limits, changes, and where to get help

StatusPage

StatusPage

ChangeLog

ChangeLog

RateLimits

RateLimits

Commercial 4

Pricing, plans, and the legal terms of use

Pricing

TermsOfService

PrivacyPolicy

Plans

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

AgentCard

AgentCard

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: profiled
x-tier-reason: Promoted from stub on 2026-08-13. Two rounds of enrichment established a real first-party agent surface (hosted
  MCP server, A2A agent card, published Agent Skill) plus pricing, CLI, changelog and error artifacts.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Paid · Self-serve signup
  confidence: high
  probe_state: covered
  source:
  - plans
  - authentication
  - rate-limits
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-08-13'
image: https://segmentstream.com/images/og-image.png
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-04
tags:
- Company
- Marketing Analytics
- Attribution
- Marketing Measurement
- Advertising
- Budget Optimization
- Incrementality
- BigQuery
- MCP
- AI Agents
- A2A
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
- type: AgentCard
  name: SegmentStream A2A agent card
  url: a2a/segmentstream-a2a.yml
- type: CLI
  name: SegmentStream CLI
  url: cli/segmentstream-cli.yml
- type: ChangeLog
  name: SegmentStream product updates
  url: changelog/segmentstream-changelog.yml
- type: Plans
  url: plans/segmentstream-plans-pricing.yml
- type: RateLimits
  url: rate-limits/segmentstream-rate-limits.yml
- type: ErrorCatalog
  url: errors/segmentstream-error-codes.yml
- type: Components
  name: SegmentStream SDK and embedded components
  url: components/segmentstream-components.yml
x-coverage:
  state: covered
  checked: '2026-08-13'
x-enrichment:
  date: '2026-08-13'
  status: enriched
  artifacts_added: 9
  pass: local-v1
x-a2a:
  verified: true
  probed: '2026-09-26'
  url: https://docs.segmentstream.com/.well-known/agent-card.json
  grade: conformant
  protocol_version: '0.3'
  control: 404

SegmentStream API — frequently asked questions

Does SegmentStream have an API?

Yes. APIs.io lists 1 API from SegmentStream, including SegmentStream MCP.

How do I authenticate with the SegmentStream API?

SegmentStream documents its authentication (oauth2 · 1 scheme). The details are profiled on APIs.io as Segmentstream Authentication.

How much does the SegmentStream API cost?

SegmentStream publishes its prices; its Online plan is $800 as of 2026-08-13. APIs.io lists 3 pricing plans for SegmentStream, with each plan's price, limits and inclusions under Pricing on this page.

Does SegmentStream have an MCP server?

Yes. APIs.io lists 1 MCP server for SegmentStream: Hosted remote MCP server that gives AI tools secure, read-only access to a SegmentStream workspace via the Model Context Protocol. Exposes marketing measurement, attribution, budget optimization, and

Is the SegmentStream API ready for AI agents?

SegmentStream has a Kin Score of 47.4 out of 100 (developing) and an Agent Readiness score of 36.3 (agent-ready), scored by API Evangelist on 2026-11-06.

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