AA Audience website screenshot

AA Audience

AA Audience is an adtech and data company that estimates a mobile user's credit score from their online activity using proprietary machine learning models. It collects data from partner mobile apps and ad networks, analyzes it, and connects with popular DSPs and DMPs so its clients - banks, credit card companies, and financial services firms - can target audiences interested in credit cards, loans, and financial services with guaranteed ROI. Surfaced as a portfolio company of 500 Global and added to the API Evangelist network. No public API, developer portal, or documentation surface was found during enrichment (the site is a single static marketing page).

AA Audience is profiled on the APIs.io network. Tagged areas include Company, Advertising, Data, Machine Learning, and Credit Scoring.

6.8/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-28 · rubric v0.5
0 APIs
CompanyAdvertisingDataMachine LearningCredit ScoringFinancial ServicesAudience TargetingAdtech

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-28 · rubric v0.5
Composite quality — 6.8/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.0 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 0 / 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
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/aa-audience: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

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

Resources

Access & Security 1

Authentication, authorization, and security posture

Company 1

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: aa-audience
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/aa-audience.png
name: AA Audience
description: AA Audience is an adtech and data company that estimates a mobile user's credit score from their online activity
  using proprietary machine learning models. It collects data from partner mobile apps and ad networks, analyzes it, and connects
  with popular DSPs and DMPs so its clients - banks, credit card companies, and financial services firms - can target audiences
  interested in credit cards, loans, and financial services with guaranteed ROI. Surfaced as a portfolio company of 500 Global
  and added to the API Evangelist network. No public API, developer portal, or documentation surface was found during enrichment
  (the site is a single static marketing page).
url: https://raw.githubusercontent.com/api-evangelist/aa-audience/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-17'
x-enrichment-note: No API/docs/package/well-known surface found; site is a static single-page marketing site (S3, last modified
  2018); only real artifact is a domain-security probe.
tags:
- Company
- Advertising
- Data
- Machine Learning
- Credit Scoring
- Financial Services
- Audience Targeting
- Adtech
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/aa-audience-domain-security.yml
- type: Website
  url: https://aaaudi.com
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence