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albertsons

Albertsons Companies is one of the largest food and drug retailers in the United States, operating supermarkets and pharmacies under banners including Albertsons, Safeway, Vons, Jewel-Osco, Acme, Shaw's, Star Market, and others. The company operates the Albertsons Media Collective, a retail media network that provides advertisers API access to near-real-time campaign performance data and audience targeting capabilities based on shopper purchase behavior across its banner network.

agent ready

Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.

Kin Score

API Evangelist profiles albertsons the way a machine reads it — 58 machine-readable artifacts across 4 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 — albertsons scores 57.7/100 (developing), with a separate agent-readiness read of 48/100 (agent ready). 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 Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 57.7/100 · developing
Contract Quality 20.6 / 25
Developer Ergonomics 3.9 / 20
Commercial Clarity 10.0 / 20
Operational Transparency 2.7 / 13
Governance 10.4 / 12
Discoverability 10.0 / 10
Agent readiness — 48/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile albertsons

Each block below is one kind of artifact we hold for albertsons. 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 4

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.

albertsons Audiences API

Manage audience targeting segments for retail media campaigns.

albertsons Campaigns API

Manage advertising campaigns on the Albertsons Media Collective.

albertsons Performance API

Access campaign performance metrics and analytics.

albertsons Reporting API

Generate and retrieve performance reports.

Open Collections 1

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).

Pricing 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.

Albertsons Rate Limits

1 limits

RATE LIMITS

FinOps 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.

Features 6

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.

Near-Real-Time Campaign Performance

Access advertising campaign performance data in near-real-time to bring metrics into custom dashboards and measurement models.

Audience Targeting

Target campaigns using audience segments derived from Albertsons shopper purchase behavior across grocery and pharmacy banners.

Campaign Management

Create, update, and manage advertising campaigns with budget controls, scheduling, and audience targeting configurations.

Custom Reporting

Generate configurable performance reports with custom dimensions and metrics for export to external analytics tools.

Azure API Management Portal

Interactive developer portal built on Microsoft Azure API Management with documentation, code samples, and an API testing console.

Multi-Banner Reach

Access to shopper audiences across Albertsons, Safeway, Vons, Jewel-Osco, Acme, and other banner networks.

Semantic Vocabularies 1

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.

Albertsons Retail Media Api Context

13 classes · 30 properties

JSON-LD

Spectral Rules 2

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.

albertsons API Rules

5 rules · 3 warnings

SPECTRAL

albertsons API Rules

42 rules · 16 errors · 20 warnings

SPECTRAL

JSON Schema 10

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.

Audience List Response

4 properties

JSON SCHEMA

Audience

5 properties

JSON SCHEMA

Campaign List Response

4 properties

JSON SCHEMA

Campaign

8 properties

JSON SCHEMA

Create Campaign Request

5 properties

JSON SCHEMA

Error Response

3 properties

JSON SCHEMA

Performance Metric

8 properties

JSON SCHEMA

Performance Metrics Response

2 properties

JSON SCHEMA

Report Request

6 properties

JSON SCHEMA

Report Response

4 properties

JSON SCHEMA

Scroll within the panel for all 10 ·

JSON Structure 10

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.

Scroll within the panel for all 10 ·

Examples 10

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.

Scroll within the panel for all 10 ·

Security Posture 2

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.

Albertsons Authentication

http · 1 scheme

SECURITY

Albertsons Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

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.

Albertsons Agentic Access

6 operations · 2 acting

6 operations · 2 acting

AGENTIC

Use Cases 5

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.

Campaign Performance Dashboards

Pull near-real-time campaign metrics into custom brand or agency dashboards for monitoring impressions, clicks, and ROAS.

Automated Budget Optimization

Integrate campaign performance data into automated bidding and budget allocation systems.

Third-Party Measurement Integration

Share campaign performance data with measurement partners like TransUnion for attribution and audience analysis.

Media Mix Modeling

Incorporate Albertsons retail media performance data into multi-channel media mix models.

Audience Insights

Analyze shopper audience segments to inform product marketing strategy and campaign targeting decisions.

Integrations 3

Pre-built integrations with other platforms tell you where this provider already fits in a stack.

Pre-built integrations with other platforms and tools.

TransUnion

Partnership integration for enhanced audience measurement and identity resolution using TransUnion data.

Microsoft Azure

Developer portal and API gateway infrastructure built on Microsoft Azure API Management.

Analytics Platforms

Export campaign data to third-party analytics dashboards and reporting tools via the Performance API.

Resources

Every other property we hold for albertsons — 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 1

Portal, sign-up, and the first successful call

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Access & Security 3

Authentication, authorization, and security posture

Commercial 2

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/albertsons · machine-readable index on apis.io