Agenticfeed

Agenticfeed.ai helps brands and retailers expose structured, machine-readable product feeds for AI agents to discover, compare and buy products. It offers starter, growth, scale, and enterprise plans, providing AI intent packs and product listings to make commerce AI-ready.

Agenticfeed is listed with 2 APIs on the APIs.io network. Tagged areas include Artificial Intelligence, Commerce, Product Feeds, Retail, and Software-as-a-Service.

The Agenticfeed catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

Agenticfeed’s developer surface includes documentation, API reference, support, engineering blog, pricing, signup flow, and 16 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

30.8/100 thin ▬ flat Agent 25/100 agent aware Heartbeat 67/100 alive Full breakdown ↓
scored 2026-11-02 · rubric v0.26.0 · Show this score on your site →

AccessOpen

2 APIs 1 MCP Servers

Artificial Intelligence Commerce Product Feeds Retail Software-as-a-Service

Kin Score

Kin Score How this is scored →
scored 2026-11-02 · rubric v0.26.0

Composite quality — 30.8/100 · thin

Contract Quality 5.5 / 21

Developer Ergonomics 4.0 / 17

Access Clarity 7.6 / 17

Operational Transparency 0.6 / 11

Contract Governance 2.2 / 10

Discoverability 4.8 / 9

Regulatory Posture 4.0 / 15

Agent readiness — 25/100 · agent aware

Machine-Readable Contract 18 / 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 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 4 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 8 / 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 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):

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)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document

8 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 25.7 — up to +18.6 composite points
Developer Ergonomics scores 23.8 — up to +15.2 composite points
Operational Transparency scores 5.3 — up to +12.3 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/agenticfeed-ai/apis.yml: open an issue on github.com/api-evangelist/agenticfeed-ai 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 →

APIs 2

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

Agent Query API

Query ecommerce product data by natural language buyer intent.

Agenticfeed API

Agenticfeed API as documented publicly: 6 operations. Contract generated from the documentation by API Evangelist (2026-11-01); not the provider's own document.

MCP Servers 1

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

Agenticfeed MCP Server

Remote MCP server at agenticfeed.ai.

MCP SERVER

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Agenticfeed Ai Context

6 classes · 22 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Agenticfeed API Rules

12 rules · 10 errors 1 warnings 1 info

SPECTRAL

JSON Schema 6

Standalone JSON Schema definitions for this provider's data models.

GetFeedCustomerGuidJsonResponse

7 properties

JSON SCHEMA

GetProductCustomerguidProductGuidJsonResponse

12 properties

JSON SCHEMA

GetQuestionsCustomerGuidJsonResponse

4 properties

JSON SCHEMA

GetQuestionsCustomerguidCategoryJsonResponse

6 properties

JSON SCHEMA

PostAgentQueryRequest

3 properties

JSON SCHEMA

PostAgentQueryResponse

5 properties

JSON SCHEMA

Security Posture 2

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

Agenticfeed Ai Authentication

0 schemes

SECURITY

Agenticfeed Ai Domain Security

TLSv1.3 · DNSSEC · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Agenticfeed Ai Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

MCPServer

MCPServer

WellKnown

WellKnown

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

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

Other 3

Properties that don't map to a standard resource type

AgentCard

AgentCard

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: agenticfeed-ai
name: Agenticfeed
description: Agenticfeed.ai helps brands and retailers expose structured, machine-readable product feeds for AI agents to
  discover, compare and buy products. It offers starter, growth, scale, and enterprise plans, providing AI intent packs and
  product listings to make commerce AI-ready.
url: https://artifacts.apis.io/agenticfeed-ai/apis.yml
accessModel:
  pricing: unknown
  onboarding: open
  trial: false
  try_now: false
  public: true
  gated: none
  gated_source:
  - onboarding
  label: Open access
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-02'
  method: derived
image: https://agenticfeed.ai/og.png
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-01 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-01'
modified: '2026-11-01'
tags:
- Artificial Intelligence
- Commerce
- Product Feeds
- Retail
- Software-as-a-Service
tags_raw:
- AI
- Commerce
- ProductFeeds
- Retail
- SaaS
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Spectral
  url: rules/agenticfeed-ai-rules.yml
- type: JSONLD
  url: json-ld/agenticfeed-ai-context.jsonld
- type: Vocabulary
  url: vocabulary/agenticfeed-ai-vocabulary.yml
- type: DataModel
  url: data-model/agenticfeed-ai-data-model.yml
- type: Conformance
  url: conformance/agenticfeed-ai-conformance.yml
- type: LLMsTxt
  url: llms/agenticfeed-ai-llms.txt
- type: AgentCard
  url: a2a/agenticfeed-ai-a2a.yml
- type: MCPServer
  url: mcp/agenticfeed-ai-mcp.yml
- type: WellKnown
  url: well-known/agenticfeed-ai-well-known.yml
- type: Hosts
  url: hosts/agenticfeed-ai-hosts.yml
- type: Vendors
  url: vendors/agenticfeed-ai-vendors.yml
- type: DomainSecurity
  url: security/agenticfeed-ai-domain-security.yml
- type: Website
  url: https://agenticfeed.ai/
- type: Documentation
  url: https://agenticfeed.ai/docs
- type: APIReference
  url: https://agenticfeed.ai/api.html
- type: Support
  url: https://agenticfeed.ai/faq.html
- type: Blog
  url: https://agenticfeed.ai/blog.html
- type: GitHubOrganization
  url: https://github.com/bluestratus
- type: Pricing
  url: https://agenticfeed.ai/#pricing
- type: SignUp
  url: https://agenticfeed.ai/login.html
- type: TermsOfService
  url: https://agenticfeed.ai/terms
- type: PrivacyPolicy
  url: https://agenticfeed.ai/privacy
apis:
- name: Agent Query API
  description: Query ecommerce product data by natural language buyer intent.
  humanURL: https://agenticfeed.ai/api.html
  baseURL: https://agenticfeed.ai
  aid: agenticfeed-ai:agent-query-api
- aid: agenticfeed-ai:agenticfeed-ai-api
  name: Agenticfeed API
  description: 'Agenticfeed API as documented publicly: 6 operations. Contract generated from the documentation by API Evangelist
    (2026-11-01);

    not the provider''s own document.'
  humanURL: https://agenticfeed.ai/api.html
  properties:
  - type: OpenAPI
    url: openapi/_ae-authored/agenticfeed-ai-openapi-generated.yml
    x-provenance: generated
  - type: JSONSchema
    url: json-schema/agenticfeed-ai-post-agent-query-response-schema.json
  - type: JSONSchema
    url: json-schema/agenticfeed-ai-post-agent-query-request-schema.json
  - type: JSONSchema
    url: json-schema/agenticfeed-ai-get-product-customerguid-product-guid-json-response-schema.json
  - type: JSONSchema
    url: json-schema/agenticfeed-ai-get-feed-customer-guid-json-response-schema.json
  - type: JSONSchema
    url: json-schema/agenticfeed-ai-get-questions-customerguid-category-json-response-schema.json
  - type: JSONSchema
    url: json-schema/agenticfeed-ai-get-questions-customer-guid-json-response-schema.json
x-enrichment:
  date: '2026-11-01'
  status: enriched
  artifacts_added: 34
  pass: modular-v1
  engine: identity=oss,contract=oss,surfaces=oss,docs=oss,regulatory=oss

Agenticfeed API — frequently asked questions

Does Agenticfeed have an API?

Yes. APIs.io lists 2 APIs from Agenticfeed, including Agent Query API and Agenticfeed API.

Is there an OpenAPI specification for the Agenticfeed API?

Yes. APIs.io indexes 1 OpenAPI specification for Agenticfeed, each linked for download from this page.

How do I authenticate with the Agenticfeed API?

Agenticfeed uses bearer-token authentication (0 schemes). The details are profiled on APIs.io as Agenticfeed Ai Authentication.

Does Agenticfeed have an MCP server?

Yes. APIs.io lists 1 MCP server for Agenticfeed: Remote MCP server at agenticfeed.ai.

Is the Agenticfeed API ready for AI agents?

Agenticfeed has a Kin Score of 30.8 out of 100 (thin) and an Agent Readiness score of 24.9 (agent-aware), scored by API Evangelist on 2026-11-02.

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