Portrait Analytics

Portrait Analytics provides an AI‑powered research platform for fundamental investors, offering tools such as Mosaic for shortlist generation, deep research reports, screening criteria, thesis monitoring, and company research. The service aggregates data sources, generates structured reports with citations, and supports integrations via an API to embed insights into workflows. Backed by unusual‑ventures, the company aims to reduce hallucinations in AI outputs and deliver accurate, citation‑rich analysis for investment decisions.

Portrait Analytics is listed with 1 API on the APIs.io network. Tagged areas include Company, AI, Finance, Research, and Investment.

The Portrait Analytics catalog on APIs.io includes 1 Spectral governance ruleset.

Portrait Analytics’ developer surface includes CLI, API reference, documentation, getting-started guide, engineering blog, support, pricing, and 12 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

29.6/100 thin Agent 36/100 agent ready Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

1 API

CompanyAIFinance Research Investment Data

Kin Score

Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0

Composite quality — 29.6/100 · thin

Contract Quality 2.2 / 21

Developer Ergonomics 8.1 / 17

Access Clarity 5.4 / 17

Operational Transparency 0.0 / 11

Contract Governance 3.6 / 10

Discoverability 4.9 / 9

Regulatory Posture 3.4 / 15

Agent readiness — 36/100 · agent ready

Machine-Readable Contract 18 / 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 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 4 / 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 5 / 5

Registration Without a Human 6 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

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):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
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)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
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)

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 10.4 — up to +22.4 composite points
Access Clarity scores 31.6 — up to +13.7 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/portrait-analytics/apis.yml: open an issue on github.com/api-evangelist/portrait-analytics 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 1

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

Portrait Analytics API

Portrait Analytics API as documented publicly: 11 operations. Contract generated from the documentation by API Evangelist (2026-10-29); not the provider's own document.

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Portrait Analytics API Rules

9 rules · 7 errors 1 warnings 1 info

SPECTRAL

Security Posture 1

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

Portrait Analytics Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

APIReference

APIReference

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Spectral

Spectral

Vocabulary

Vocabulary

Conformance

Conformance

Build 2

SDKs, sample code, and the tooling you integrate with

CLI

CLI

Postman

Postman

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

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Pricing

Pricing

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: portrait-analytics
name: Portrait Analytics
image: https://portraitresearch.com/static/img/home-og-v5.24a350efba06.png
description: Portrait Analytics provides an AI‑powered research platform for fundamental investors, offering tools such as
  Mosaic for shortlist generation, deep research reports, screening criteria, thesis monitoring, and company research. The
  service aggregates data sources, generates structured reports with citations, and supports integrations via an API to embed
  insights into workflows. Backed by unusual‑ventures, the company aims to reduce hallucinations in AI outputs and deliver
  accurate, citation‑rich analysis for investment decisions.
url: https://artifacts.apis.io/portrait-analytics/apis.yml
x-type: company
x-source: harvest:vc-portfolio
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-29 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-29'
modified: '2026-10-29'
tags:
- Company
- AI
- Finance
- Research
- Investment
- Data
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Spectral
  url: rules/portrait-analytics-rules.yml
- type: Vocabulary
  url: vocabulary/portrait-analytics-vocabulary.yml
- type: CLI
  url: cli/portrait-analytics-cli.yml
- type: Conformance
  url: conformance/portrait-analytics-conformance.yml
- type: LLMsTxt
  url: llms/portrait-analytics-llms.txt
- type: WellKnown
  url: well-known/portrait-analytics-well-known.yml
- type: Hosts
  url: hosts/portrait-analytics-hosts.yml
- type: Vendors
  url: vendors/portrait-analytics-vendors.yml
- type: DomainSecurity
  url: security/portrait-analytics-domain-security.yml
- type: Website
  url: https://portraitresearch.com/
- type: APIReference
  url: https://portraitresearch.com/documentation/reference/
- type: Documentation
  url: https://portraitresearch.com/documentation/
- type: GettingStarted
  url: https://portraitresearch.com/documentation/getting-started/welcome/
- type: Blog
  url: https://portraitresearch.com/blog/category/china-hpc-production/
- type: PrivacyPolicy
  url: https://portraitresearch.com/privacy-policy/
- type: TermsOfService
  url: https://portraitresearch.com/terms-of-service/
- type: Support
  url: https://portraitresearch.com/security/
- type: Pricing
  url: https://portraitresearch.com/request-trial/
- type: Postman
  url: https://www.postman.com/portraitresearch/workspace/portrait-api
apis:
- aid: portrait-analytics:portrait-analytics-api
  name: Portrait Analytics API
  description: 'Portrait Analytics API as documented publicly: 11 operations. Contract generated from the documentation by
    API Evangelist (2026-10-29); not the provider''s own document.'
  humanURL: https://portraitresearch.com/documentation/integrations/partner-api
  properties:
  - type: OpenAPI
    url: openapi/_ae-authored/portrait-analytics-openapi-generated.yml
    x-provenance: generated
x-backed-by:
- unusual-ventures
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: No OpenAPI, AsyncAPI, GraphQL, gRPC, or WSDL spec was found; attempts to fetch common spec URLs returned 403 or
    404.
  evidence:
  - url: https://api.portraitresearch.com/openapi.json
    status: 403
  - url: https://portraitresearch.com/openapi.json
    status: 404
  checked: '2026-10-29'
x-enrichment:
  date: '2026-10-29'
  status: enriched
  artifacts_added: 18
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Portrait Analytics API — frequently asked questions

Does Portrait Analytics have an API?

Yes. APIs.io lists 1 API from Portrait Analytics, including Portrait Analytics API.

Is there an OpenAPI specification for the Portrait Analytics API?

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

Is the Portrait Analytics API ready for AI agents?

Portrait Analytics has a Kin Score of 29.6 out of 100 (thin) and an Agent Readiness score of 35.9 (agent-ready), scored by API Evangelist on 2026-10-31.

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