Adobe Analytics
Adobe Analytics provides real-time analytics and detailed segmentation capabilities across all marketing channels, enabling organizations to discover high-value audiences and power customer intelligence.
Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.
API Evangelist profiles Adobe Analytics the way a machine reads it — 170 machine-readable artifacts across 14 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Adobe Analytics scores 70.2/100 (exemplar), with a separate agent-readiness read of 77/100 (agent native). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Adobe Analytics
Each block below is one kind of artifact we hold for Adobe Analytics. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 14
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Adobe Analytics Livestream API
The Livestream API is a reporting feature in Adobe Analytics that allows clients to receive traffic data processed by Adobe Analytics in real time. Hits are streamed to the clie...
Adobe Analytics Data Insertion API
The Data Insertion API allows server-side data submission to Adobe Analytics one event at a time using HTTP GET or POST requests. Unlike the Bulk Data Insertion API which proces...
Adobe Analytics 1.4 API
The Adobe Analytics 1.4 APIs provide programmatic access to reporting, classifications, data sources, and report suite configuration. This version is deprecated and scheduled fo...
Adobe Analytics Annotations API
Manage analytics annotations
Adobe Analytics Calculated Metrics API
Manage calculated metrics built from existing metrics
Adobe Analytics Date Ranges API
Manage saved date ranges
Adobe Analytics Dimensions API
Retrieve available dimensions for a report suite
Adobe Analytics Events API
Upload and validate batched event data files
Adobe Analytics Jobs API
Create and monitor data repair jobs
Adobe Analytics Metrics API
Retrieve available metrics for a report suite
Adobe Analytics Report Suites API
Retrieve report suite information and configuration
Adobe Analytics Reports API
Run analytics reports and retrieve data
Adobe Analytics Segments API
Create, retrieve, update, and delete analytics segments
Adobe Analytics Server Call Estimate API
Estimate the scope and cost of a repair job
Scroll within the panel for all 14 ·
Postman Collections 3
A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.
Ready-to-run Postman collections for exercising this provider's APIs.
Adobe Analytics API
POSTMANOpen Collections 3
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Adobe Analytics API
OPEN COLLECTIONAdobe Analytics Bulk Data Insertion API
OPEN COLLECTIONAdobe Analytics Data Repair API
OPEN COLLECTIONArazzo Workflows 12
Real integrations are rarely a single call. Arazzo describes the multi-step sequences — auth, then create, then confirm — so both a human and an agent can follow the choreography, not just the endpoints.
Multi-step API workflows described with the Arazzo specification.
Adobe Analytics Annotate a Date Range and Run a Report
Review saved date ranges, create an annotation for a period, then run a report over it.
ARAZZOAdobe Analytics Clone a Calculated Metric
Read an existing calculated metric and create a copy of it under a new name.
ARAZZOAdobe Analytics Clone a Segment
Read an existing segment and create a copy of it under a new name.
ARAZZOAdobe Analytics Create a Calculated Metric and Run a Report
List a report suite's metrics, create a calculated metric, then run a report using it.
ARAZZOAdobe Analytics Create a Segment and Run a Segmented Report
Inspect a report suite's dimensions, create a new segment, then run a report filtered by that segment.
ARAZZOAdobe Analytics Discover Components and Run a Report
List the dimensions and metrics in a report suite, then run a report built from them.
ARAZZOAdobe Analytics Estimate and Run a Data Repair Job
Estimate the scope of a data repair, submit the repair job with the validation token, then check its status.
ARAZZOAdobe Analytics Full Component Inventory and Report
Inventory report suites, dimensions, and metrics, then run a report in a single chained pass.
ARAZZOAdobe Analytics Report on an Existing Segment
List the company segments, fetch a chosen segment's details, then run a report filtered by it.
ARAZZOAdobe Analytics Select a Report Suite and Run a Report
List accessible report suites, confirm one by ID, then run a report against it.
ARAZZOAdobe Analytics Upsert a Segment
Look up a segment by ID and update it if it exists, otherwise create a new one.
ARAZZOAdobe Analytics Validate then Upload a Batch Events File
Validate a gzip-compressed events file and upload it only when validation passes.
ARAZZOScroll within the panel for all 12 ·
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
adobe-analytics-mcp.yml
MCP SERVERPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Adobe Analytics Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Adobe Analytics Finops
FINOPSFeatures 10
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
Real-Time Analytics
Access and analyze data in real time as visitors interact with digital properties.
Custom Segmentation
Build custom segments to isolate and analyze specific visitor groups and behaviors.
Calculated Metrics
Create derived metrics combining existing metrics with mathematical formulas.
Report Suites
Organize and partition data collection across multiple sites and business units.
Annotations
Mark specific dates or ranges in reports with notes for contextual analysis.
Bulk Data Insertion
Upload server-side event data in compressed CSV batches for high-volume collection.
Data Repair
Permanently delete or transform previously ingested data for privacy compliance.
Livestream
Receive real-time streaming hit data as each event is processed by Adobe servers.
Dimension And Metric Exploration
Programmatically discover all available dimensions and metrics in report suites.
Component Tagging
Apply tags to segments, metrics, and other components for organization and discovery.
Scroll within the panel for all 10 ·
Event Specifications 1
Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Adobe Analytics Livestream API
The Adobe Analytics Livestream API delivers real-time analytics hit data to a connected client as each hit is processed by Adobe Analytics servers. Data is streamed in line-deli...
ASYNCAPISemantic Vocabularies 3
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Spectral Rules 3
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Adobe Analytics API Rules
SPECTRALAdobe Analytics API Rules
SPECTRALAdobe Analytics API Rules
SPECTRALJSON Schema 33
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
AnnotationCreate
JSON SCHEMAAnnotation
JSON SCHEMAErrorResponse
JSON SCHEMAUploadResponse
JSON SCHEMAValidationError
JSON SCHEMAValidationResponse
JSON SCHEMACalculatedMetricCreate
JSON SCHEMACalculatedMetricList
JSON SCHEMACalculatedMetric
JSON SCHEMAErrorResponse
JSON SCHEMARepairAction
JSON SCHEMARepairFilter
JSON SCHEMARepairJobDefinition
JSON SCHEMARepairJob
JSON SCHEMAServerCallEstimate
JSON SCHEMADateRange
JSON SCHEMADimension
JSON SCHEMAErrorResponse
JSON SCHEMAMetricContainer
JSON SCHEMAMetric
JSON SCHEMAOwner
JSON SCHEMAReportFilter
JSON SCHEMAReportMetric
JSON SCHEMAReportRequest
JSON SCHEMAReportResponse
JSON SCHEMAReportRow
JSON SCHEMAReportSettings
JSON SCHEMAReportSuiteList
JSON SCHEMAReportSuite
JSON SCHEMASegmentCreate
JSON SCHEMASegmentList
JSON SCHEMASegment
JSON SCHEMATag
JSON SCHEMAScroll within the panel for all 33 ·
JSON Structure 33
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Adobe Analytics Annotation Create Structure
JSON STRUCTUREAdobe Analytics Annotation Structure
JSON STRUCTUREAdobe Analytics Calculated Metric Create Structure
JSON STRUCTUREAdobe Analytics Calculated Metric List Structure
JSON STRUCTUREAdobe Analytics Calculated Metric Structure
JSON STRUCTUREAdobe Analytics Data Repair Error Response Structure
JSON STRUCTUREAdobe Analytics Data Repair Repair Action Structure
JSON STRUCTUREAdobe Analytics Data Repair Repair Filter Structure
JSON STRUCTUREAdobe Analytics Data Repair Repair Job Structure
JSON STRUCTUREAdobe Analytics Date Range Structure
JSON STRUCTUREAdobe Analytics Dimension Structure
JSON STRUCTUREAdobe Analytics Error Response Structure
JSON STRUCTUREAdobe Analytics Metric Container Structure
JSON STRUCTUREAdobe Analytics Metric Structure
JSON STRUCTUREAdobe Analytics Owner Structure
JSON STRUCTUREAdobe Analytics Report Filter Structure
JSON STRUCTUREAdobe Analytics Report Metric Structure
JSON STRUCTUREAdobe Analytics Report Request Structure
JSON STRUCTUREAdobe Analytics Report Response Structure
JSON STRUCTUREAdobe Analytics Report Row Structure
JSON STRUCTUREAdobe Analytics Report Settings Structure
JSON STRUCTUREAdobe Analytics Report Suite List Structure
JSON STRUCTUREAdobe Analytics Report Suite Structure
JSON STRUCTUREAdobe Analytics Segment Create Structure
JSON STRUCTUREAdobe Analytics Segment List Structure
JSON STRUCTUREAdobe Analytics Segment Structure
JSON STRUCTUREAdobe Analytics Tag Structure
JSON STRUCTUREScroll within the panel for all 33 ·
Examples 31
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Adobe Analytics Tag Example
EXAMPLEScroll within the panel for all 31 ·
Security Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 8
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
Marketing Campaign Analysis
Measure effectiveness of marketing campaigns across channels with attribution and conversion tracking.
Customer Journey Optimization
Analyze multi-touch customer journeys to identify drop-off points and optimize conversion paths.
Content Performance Tracking
Evaluate which content resonates most with audiences and drives engagement.
Audience Discovery And Targeting
Discover high-value audience segments for personalized marketing and advertising.
Privacy Compliance Data Management
Delete or repair PII and sensitive data to comply with GDPR, CCPA, and other regulations.
Real-Time Monitoring And Alerting
Monitor live traffic and KPIs with streaming data for immediate anomaly detection.
Server-Side Data Collection
Collect analytics data from backend systems, IoT devices, and server-side applications.
Cross-Channel Reporting
Combine web, mobile, and offline data for unified cross-channel analytics reporting.
Scroll within the panel for all 8 ·
Integrations 8
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
Adobe Experience Platform
Send Analytics data to Experience Platform for unified customer profiles and journey orchestration.
Adobe Target
Use Analytics segments to power personalization and A/B testing in Adobe Target.
Adobe Audience Manager
Share audience segments between Analytics and Audience Manager for cross-channel activation.
Adobe Campaign
Integrate campaign data with Analytics for end-to-end campaign performance measurement.
Adobe Customer Journey Analytics
Extend Analytics data into CJA for cross-channel analysis with Experience Platform data.
Adobe Launch
Deploy and manage Analytics tags via Adobe Experience Platform Launch tag management.
Google Ads
Import Google Ads cost and click data for integrated paid search analytics.
Microsoft Power BI
Connect Analytics data to Power BI dashboards for enterprise reporting and visualization.
Scroll within the panel for all 8 ·
Resources
Every other property we hold for Adobe Analytics — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 22
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 22 ·
Build 6
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Learn 1
Tutorials, courses, talks, and written guidance
Operate 6
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
Other 3
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/adobe-analytics · machine-readable index on apis.io