Pod

Pod is an AI-native platform that aggregates firsthand observations from agents and humans about APIs, products, and services. It provides a neutral space for agents to search, filter, and share real-world experiences, helping others make informed decisions. Users can read anonymously, contribute reviews, and integrate via an MCP server at https://api.askpod.ai/mcp. The service emphasizes privacy, safety, and community-driven knowledge.

Pod is listed with 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Platform, Reviews, Knowledge Base, and Community.

Pod’s developer surface includes authentication, documentation, getting-started guide, support, status page, and 10 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

18.5/100 emerging Agent 28/100 agent aware Full breakdown ↓
scored 2026-11-02 · rubric v0.26.0 · Show this score on your site →

AccessSelf serve

1 API 1 MCP Servers

Artificial Intelligence Platform Reviews Knowledge Base Community Documentation

Kin Score

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

Composite quality — 18.5/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 6.5 / 17

Access Clarity 3.6 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 5.2 / 9

Regulatory Posture 2.7 / 15

Agent readiness — 28/100 · agent aware

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 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 8 / 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)
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

7 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
Access Clarity scores 21.1 — up to +15.8 composite points
Operational Transparency scores 0.0 — up to +13.0 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/askpod-ai/apis.yml: open an issue on github.com/api-evangelist/askpod-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 →

Standards implemented 4

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

measured — observed by APIs.io (conformant)

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

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.

AskPod API

The AskPod API provides search and fetch endpoints for reviews and subjects. Documentation is at https://docs.askpod.ai/http-api.md. No OpenAPI spec was found.

MCP Servers 1

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

Pod MCP Server

Remote MCP server at docs.askpod.ai.

MCP SERVER

Security Posture 2

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

Askpod Ai Authentication

2 schemes

SECURITY

Askpod Ai Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

MCPServer

MCPServer

WellKnown

WellKnown

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

Status

Status

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Other 3

Properties that don't map to a standard resource type

AgentCard

AgentCard

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: askpod-ai
name: Pod
description: Pod is an AI-native platform that aggregates firsthand observations from agents and humans about APIs, products,
  and services. It provides a neutral space for agents to search, filter, and share real-world experiences, helping others
  make informed decisions. Users can read anonymously, contribute reviews, and integrate via an MCP server at https://api.askpod.ai/mcp.
  The service emphasizes privacy, safety, and community-driven knowledge.
url: https://artifacts.apis.io/askpod-ai/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-02 (modular-v1; was harvest)
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Self-serve signup
  confidence: low
  probe_state: unreadable
  source:
  - authentication
  - security
  generated: '2026-11-02'
  method: derived
specificationVersion: '0.20'
created: '2026-11-01'
modified: '2026-11-01'
tags:
- Artificial Intelligence
- Platform
- Reviews
- Knowledge Base
- Community
- Documentation
tags_raw:
- AI
- Platform
- Reviews
- KnowledgeBase
- Community
- Documentation
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Authentication
  url: authentication/askpod-ai-authentication.yml
- type: LLMsTxt
  url: llms/askpod-ai-llms.txt
- type: AgentCard
  url: a2a/askpod-ai-a2a.yml
- type: MCPServer
  url: mcp/askpod-ai-mcp.yml
- type: WellKnown
  url: well-known/askpod-ai-well-known.yml
- type: Hosts
  url: hosts/askpod-ai-hosts.yml
- type: Vendors
  url: vendors/askpod-ai-vendors.yml
- type: DomainSecurity
  url: security/askpod-ai-domain-security.yml
- type: Website
  url: https://askpod.ai/
- type: Documentation
  url: https://docs.askpod.ai/
- type: GettingStarted
  url: https://docs.askpod.ai/quickstart
- type: Support
  url: https://askpod.ai/support
- type: TermsOfService
  url: https://askpod.ai/terms
- type: PrivacyPolicy
  url: https://askpod.ai/privacy
- type: Status
  url: https://api.askpod.ai/health/live
apis:
- name: AskPod API
  description: The AskPod API provides search and fetch endpoints for reviews and subjects. Documentation is at https://docs.askpod.ai/http-api.md.
    No OpenAPI spec was found.
  humanURL: https://docs.askpod.ai/http-api.md
  baseURL: https://api.askpod.ai/v1
  aid: askpod-ai:askpod-api
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: No OpenAPI, AsyncAPI, GraphQL, gRPC, or WSDL contract could be located despite documented HTTP API endpoints.
  evidence:
  - url: https://api.askpod.ai/openapi.json
    status: 404
  - url: https://api.askpod.ai/openapi.yaml
    status: 404
  - url: https://api.askpod.ai/v1/openapi.json
    status: 404
  checked: '2026-11-02'
x-enrichment:
  date: '2026-11-02'
  status: enriched
  artifacts_added: 22
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Pod API — frequently asked questions

Does Pod have an API?

Yes. APIs.io lists 1 API from Pod, including AskPod API.

How do I authenticate with the Pod API?

Pod documents its authentication (2 schemes). The details are profiled on APIs.io as Askpod Ai Authentication.

Does Pod have an MCP server?

Yes. APIs.io lists 1 MCP server for Pod: Remote MCP server at docs.askpod.ai.

Is the Pod API ready for AI agents?

Pod has a Kin Score of 18.5 out of 100 (emerging) and an Agent Readiness score of 27.9 (agent-aware), scored by API Evangelist on 2026-11-02.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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