aiFlow website screenshot

aiFlow

aiFlow (AiFlow, Inc., Y Combinator W23) is a San Francisco company building AI-powered executive intelligence for private equity talent teams and executive search firms, founded in 2022 by Nick Manske and Josh Gardner. Its platform reads public sources — company sites, press, deal announcements and professional profiles — to generate data-driven evaluations of C-level and board candidates, revenue estimates with published comparable-company methodology, transaction and funding history, backchannel and reference discovery, and search management. In 2025 the founders relaunched the product as Verata, Inc. at veratainsight.com; the aiFlow brand site and the company's Auth0 identity tenant at auth.aiflow.solutions both remain live and the Verata application authenticates against them. aiFlow publishes no developer program, no API documentation and no machine-readable API contract — its security page states the platform is self-contained by design with no third-party ATS or CRM integrations — so the only machine-readable documents it serves are the OpenID Connect and OAuth 2.0 authorization-server discovery documents that gate its own application.

aiFlow is profiled on the APIs.io network. Tagged areas include Company, Executive Search, Private Equity, Talent Intelligence, and People Data.

aiFlow’s developer surface includes pricing, support, engineering blog, authentication, and 16 more developer resources.

🌐 Visit website📡 Profile data on GitHub
24.2/100 emerging ▬ flat Agent 18/100 agent aware Front door AI 4/6 moderate Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →
AccessEnterpriseApprovalNo public API
0 APIs
CompanyExecutive SearchPrivate EquityTalent IntelligencePeople DataCompany DataMarket IntelligenceArtificial IntelligenceY Combinator

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0
Composite quality — 24.2/100 · emerging
Contract Quality 0.0 / 21
Developer Ergonomics 3.2 / 17
Access Clarity 11.2 / 17
Operational Transparency 0.0 / 11
Contract Governance 0.0 / 10
Discoverability 4.7 / 9
Regulatory Posture 4.0 / 15
Agent readiness — 18/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
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
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/.
Show this score on your site. Kin Score badge preview for aiFlow It updates itself when the score changes. Paste this where you link to your API docs: 
<a href="https://apis.io/providers/aiflow/"><img src="https://apis.io/badge/aiflow/card.svg" alt="aiFlow on APIs.io — Kin Score by API Evangelist"></a>
Other styles, a README pill and a shields.io endpoint are on the badge page.
Raise your score.
Agent readiness — checks not met, largest first (exact, from this profile):
9 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
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.
Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →
Ask about:
Aiflow · a person reads this and replies by email.
or email info@apis.io
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/aiflow/apis.yml: open an issue on github.com/api-evangelist/aiflow 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 1

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.

Dynamic Client Registration
measured — observed by APIs.io (published)

aiFlow API pricing

Prices published by aiFlow.

PlanPrice
Core —
Firm —
Enterprise —

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

aiFlow Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

aiFlow Rate Limits

0 limits

RATE LIMITS

Terms of Service 1

What its API terms permit and prohibit, quoted from its own page.

aiFlow

11 quoted statements, read from aiFlow's own page on 2026-11-09.

TERMS

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

aiFlow

22 quoted statements, read from aiFlow's own page on 2026-11-09.

PRIVACY

Eligibility 1

Who may sign up and where, quoted from its own terms.

aiFlow

3 quoted statements, read from aiFlow's own page on 2026-11-09.

ELIGIBILITY

AI Preferences 1

Its stance on AI training, inference and agents, quoted from its own pages.

aiFlow

5 quoted statements, read from aiFlow's own page on 2026-11-09.

AI PREFS

Data License 1

How its data and outputs may be reused, quoted from its own terms.

aiFlow

2 quoted statements, read from aiFlow's own page on 2026-11-09.

LICENSE

Security Posture 2

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

aiFlow Authentication

2 schemes

SECURITY

aiFlow Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

aiFlow Scopes

14 scopes

14 scopes

SCOPES

Resources

Documentation 1

Reference material describing how the API behaves

AIPreferences
AIPreferences

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

WellKnown
WellKnown
 LLMsTxt
LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance
Conformance

Access & Security 3

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity
 Authentication
Authentication
 OAuthScopes
OAuthScopes

Operate 2

Status, limits, changes, and where to get help

Support
Support
 RateLimits
RateLimits

Commercial 6

Pricing, plans, and the legal terms of use

Pricing
Pricing
 TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy
 Plans
Plans
 UsageTerms
UsageTerms
 DataLicense
DataLicense

Company 3

The organization behind the API

Website
Website
 Website
Website
 Blog
Blog

Other 2

Properties that don't map to a standard resource type

DataProcessing
DataProcessing
 Eligibility
Eligibility

Source (apis.yml)

apis.yml Raw ↑ 
aid: aiflow
name: aiFlow
description: aiFlow (AiFlow, Inc., Y Combinator W23) is a San Francisco company building AI-powered executive intelligence
  for private equity talent teams and executive search firms, founded in 2022 by Nick Manske and Josh Gardner. Its platform
  reads public sources — company sites, press, deal announcements and professional profiles — to generate data-driven evaluations
  of C-level and board candidates, revenue estimates with published comparable-company methodology, transaction and funding
  history, backchannel and reference discovery, and search management. In 2025 the founders relaunched the product as Verata,
  Inc. at veratainsight.com; the aiFlow brand site and the company's Auth0 identity tenant at auth.aiflow.solutions both remain
  live and the Verata application authenticates against them. aiFlow publishes no developer program, no API documentation
  and no machine-readable API contract — its security page states the platform is self-contained by design with no third-party
  ATS or CRM integrations — so the only machine-readable documents it serves are the OpenID Connect and OAuth 2.0 authorization-server
  discovery documents that gate its own application.
accessModel:
  pricing: enterprise
  onboarding: approval
  trial: false
  try_now: false
  public: false
  gated: private
  gated_source:
  - tag:No Public API
  label: Enterprise · Requires approval
  confidence: high
  probe_state: none
  source:
  - plans
  - authentication
  - scopes
  - rate-limits
  - security
  generated: '2026-11-13'
  method: derived
image: https://res.cloudinary.com/verdiq/image/upload/v1769805304/verata/verata_private_equity_firm_network_paths.png
url: https://raw.githubusercontent.com/api-evangelist/aiflow/refs/heads/main/apis.yml
specificationVersion: '0.20'
created: '2026-09-14'
modified: '2026-09-14'
tags:
- Company
- Executive Search
- Private Equity
- Talent Intelligence
- People Data
- Company Data
- Market Intelligence
- Artificial Intelligence
- Y Combinator
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/aiflow-domain-security.yml
- type: Website
  url: https://aiflow.solutions/
  x-http-status: 200
  x-checked: '2026-09-14'
- type: Website
  url: https://www.veratainsight.com/
  x-note: Current operating brand. AiFlow, Inc. (YC W23) relaunched as Verata, Inc. in 2025 under the same founders; app.veratainsight.com
    authenticates against the company's original Auth0 tenant at auth.aiflow.solutions, which is the evidence tying the two
    brands to one company.
  x-http-status: 200
  x-checked: '2026-09-14'
- type: Pricing
  url: https://www.veratainsight.com/pricing
  x-http-status: 200
  x-checked: '2026-09-14'
- type: Support
  url: https://www.veratainsight.com/company/contact
  x-http-status: 200
  x-checked: '2026-09-14'
- type: Blog
  url: https://www.veratainsight.com/resources/insights
  x-http-status: 200
  x-checked: '2026-09-14'
- type: TermsOfService
  url: https://www.veratainsight.com/terms
  x-http-status: 200
  x-checked: '2026-09-14'
- type: PrivacyPolicy
  url: https://www.veratainsight.com/privacy
  x-http-status: 200
  x-checked: '2026-09-14'
- type: WellKnown
  url: well-known/aiflow-well-known.yml
- type: Authentication
  url: authentication/aiflow-authentication.yml
- type: OAuthScopes
  url: scopes/aiflow-scopes.yml
- type: Conformance
  url: conformance/aiflow-conformance.yml
- type: Plans
  url: plans/aiflow-plans-pricing.yml
- type: RateLimits
  url: rate-limits/aiflow-rate-limits.yml
- type: LLMsTxt
  url: llms/aiflow-llms.txt
- type: UsageTerms
  url: terms/aiflow-terms-of-service.yml
- type: DataProcessing
  url: privacy/aiflow-privacy-policy.yml
- type: Eligibility
  url: eligibility/aiflow-eligibility.yml
- type: AIPreferences
  url: ai-preferences/aiflow-ai-preferences.yml
- type: DataLicense
  url: data-license/aiflow-data-license.yml
x-enrichment:
  date: '2026-09-14'
  status: minimal
  artifacts_added: 10
  pass: local-v3
x-coverage:
  state: none
  reason: no-developer-program
  detail: aiFlow ships only an end-user web application — the word "API" does not appear anywhere on the aiflow.solutions
    or veratainsight.com sites, and the company's own security page states the platform is "self-contained by design" with
    "no integration credentials to manage", so data leaves it by Excel and CSV export rather than through any interface.
  evidence:
  - url: https://www.veratainsight.com/
    status: 200
  - url: https://www.veratainsight.com/pricing
    status: 200
  - url: https://www.veratainsight.com/security
    status: 200
  - url: https://aiflow.solutions/llms.txt
    status: 404
  - url: https://aiflow.solutions/.well-known/api-catalog
    status: 404
  - url: https://auth.aiflow.solutions/.well-known/openid-configuration
    status: 200
  checked: '2026-09-14'
x-tags-removed:
- No Public API

aiFlow API — frequently asked questions

How do I authenticate with the aiFlow API?

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

How much does the aiFlow API cost?

APIs.io lists 3 pricing plans for aiFlow, with each plan's price, limits and inclusions under Pricing on this page.

Is the aiFlow API ready for AI agents?

aiFlow has a Kin Score of 24.2 out of 100 (emerging) and an Agent Readiness score of 17.6 (agent-aware), scored by API Evangelist on 2026-11-13.

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