AskWatch

AskWatch provides an AI visibility tracking platform that helps marketers and agencies understand why AI systems recommend certain brands or competitors. Users can check their brand presence, see AI‑generated recommendations, and receive actionable insights to improve visibility. The service offers free tools like AI‑visibility checkers, overview checkers, and integrations with popular AI models. It includes pricing plans for deeper monitoring, a blog with industry insights, and support resources. AskWatch aims to make AI‑driven brand discovery transparent and actionable for businesses.

AskWatch is profiled on the APIs.io network. Tagged areas include AI Visibility, Marketing, Agencies, Brand Monitoring, and AI engines.

AskWatch’s developer surface includes getting-started guide, engineering blog, pricing, support, and 10 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

22.6/100 emerging Agent 18/100 agent aware Full breakdown ↓
scored 2026-11-02 · rubric v0.26.0 · Show this score on your site →

AccessPaid

0 APIs

AI Visibility Marketing Agencies Brand MonitoringAI enginesAutopilot

Kin Score

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

Composite quality — 22.6/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 3.2 / 17

Access Clarity 10.7 / 17

Operational Transparency 0.6 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 2.9 / 15

Agent readiness — 18/100 · 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 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 6 / 6

Protected Resource Metadata 0 / 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
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

9 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
Developer Ergonomics scores 19.0 — up to +16.2 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/askwatch-ai/apis.yml: open an issue on github.com/api-evangelist/askwatch-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 2

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.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

Dynamic Client Registration

measured — observed by APIs.io (published)

Pricing Plans 1

Published pricing tiers and plan structures.

Askwatch Ai Plans Pricing

4 plans

PLANS

Security Posture 1

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

Askwatch Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

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 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: askwatch-ai
name: AskWatch
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  probe_state: unreadable
  source:
  - plans
  - security
  generated: '2026-11-02'
  method: derived
image: https://askwatch.ai/opengraph-image?e17b7bdd535eddcf
description: AskWatch provides an AI visibility tracking platform that helps marketers and agencies understand why AI systems
  recommend certain brands or competitors. Users can check their brand presence, see AI‑generated recommendations, and receive
  actionable insights to improve visibility. The service offers free tools like AI‑visibility checkers, overview checkers,
  and integrations with popular AI models. It includes pricing plans for deeper monitoring, a blog with industry insights,
  and support resources. AskWatch aims to make AI‑driven brand discovery transparent and actionable for businesses.
url: https://artifacts.apis.io/askwatch-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)
specificationVersion: '0.20'
created: '2026-11-01'
modified: '2026-11-01'
tags:
- AI Visibility
- Marketing
- Agencies
- Brand Monitoring
- AI engines
- Autopilot
tags_raw:
- AI visibility
- Marketing
- Agencies
- Brand monitoring
- AI engines
- Autopilot
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/askwatch-ai-plans-pricing.yml
- type: LLMsTxt
  url: llms/askwatch-ai-llms.txt
- type: WellKnown
  url: well-known/askwatch-ai-well-known.yml
- type: Hosts
  url: hosts/askwatch-ai-hosts.yml
- type: Vendors
  url: vendors/askwatch-ai-vendors.yml
- type: GitHubOrganization
  url: https://github.com/askwatch
- type: GettingStarted
  url: https://askwatch.ai/help/getting-started/add-a-website
- type: DomainSecurity
  url: security/askwatch-ai-domain-security.yml
- type: Website
  url: https://askwatch.ai/
- type: Blog
  url: https://askwatch.ai/blog
- type: Pricing
  url: https://askwatch.ai/pricing
- type: TermsOfService
  url: https://askwatch.ai/terms
- type: PrivacyPolicy
  url: https://askwatch.ai/privacy
- type: Support
  url: https://askwatch.ai/help
apis: []
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: No OpenAPI, AsyncAPI, GraphQL, or other machine‑readable contract was found on the provider's hosts.
  evidence:
  - url: https://api.askwatch.ai/openapi.json
    status: timeout
  - url: https://askwatch.ai/openapi.json
    status: 404
  checked: '2026-11-02'
x-enrichment:
  date: '2026-11-02'
  status: enriched
  artifacts_added: 11
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

AskWatch API — frequently asked questions

How much does the AskWatch API cost?

APIs.io lists 4 pricing plans for AskWatch, with each plan's price, limits and inclusions under Pricing Plans on this page.

Is the AskWatch API ready for AI agents?

AskWatch has a Kin Score of 22.6 out of 100 (emerging) and an Agent Readiness score of 18.2 (agent-aware), scored by API Evangelist on 2026-11-02.

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