Overview / API & Tiers

The Cognitive Capital API

Programmatic access to every index, forecast, scenario, and assessment. JSON today; GraphQL and bulk export on the roadmap. Try any endpoint live — they're all GET.

Endpoints

Method	Path	Description
GET	`/api/v1/countries`	All economies with headline indices
GET	`/api/v1/country/{iso}`	Full index profile + pillars for one economy
GET	`/api/v1/index/{code}`	One index across all economies (CC, CDI, AIR, …)
GET	`/api/v1/occupations`	Occupational Future Index for all occupations
GET	`/api/v1/occupation/{id}`	OFI detail + task-transformation projection
GET	`/api/v1/forecast?iso=&scenario=`	CC trajectory + Monte-Carlo bands
GET	`/api/v1/scenario/{name}`	Scenario across all economies
GET	`/api/v1/simulate?ai_adoption=&regulation=&…`	Future-shock recomputation
GET	`/api/v1/assess?education=&ai_usage=&…`	Personal cognitive-capital assessment
GET	`/api/v1/career?occupation=&age=&ai_skills=`	Career transition analysis
GET	`/api/v1/inequality`	Global CII / Theil / Lorenz / CSI
GET	`/api/v1/methodology`	Machine-readable methodology

Try /country/USA ↗Try /inequality ↗OpenAPI ↗

Example · `/api/v1/country/USA`

{
  "iso": "USA",
  "name": "United States",
  "indices": {
    "CC": 87.2,
    "CDI": 0.855,
    "AIR": 95.5,
    "AIX": 100.0,
    "CRI": 89.2,
    "CM": 80.4,
    "CV": 3.98
  },
  "trajectory": {
    "category": "Frontier",
    "score": 0.0,
    "ratio": 1.0,
    "gap_close_pts_yr": 0.0
  }
}

Plans

Tiered access from open exploration to institutional deployment.

Free

Explore

Public dashboards, country & occupation pages, 100 API calls/day

Professional

Analysts

Full API, bulk CSV export, all scenarios, no rate limit on core endpoints

Enterprise

Organizations

Company & industry indices, custom cohorts, SLA, SSO, private deployments

API

Developers

Metered REST + GraphQL, webhooks, higher quotas

Government

Policy

Subnational granularity, scenario workbenches, briefings, data-sharing agreements

University

Research

Full microdata access for accredited research; discounted/again gratis

CognitiveCoefficient — Monetization

Positioning: the definitive paid reference + decision tool for the intelligence economy — priced like a professional data terminal/research subscription, not a consumer app. The public indices are the free funnel; the depth, history, forecasts, scenario engine, and bulk data are the paid product. (Indicative positioning below; final pricing to be set against willingness-to-pay research.)

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Tiers

Free — the funnel

Public headline CC indices (country/industry/occupation), current year + 5-year history, global rankings.
Country/company/industry/occupation profile pages; basic charts; one personal assessment.
Short-horizon (≤3y) forecasts (point + band), limited API (30 rpm, 1k/day), no bulk export.
Goal: SEO/PR surface, the "OECD-Index-like" public good that drives trust and inbound. $0.

Professional — the analyst seat

Full history, all indicators, full pillar breakdowns, peer comparisons, ≤10y forecasts.
Scenario simulator (/simulate, Monte-Carlo), saved scenarios, watchlists/alerts.
CSV export (≤1M rows), 120 rpm API.
Indicative: ~$49–99 / user / month (annual discount). Target: individual analysts, consultants, researchers, founders.

Enterprise — the org platform

Everything in Pro for the org: SSO/SAML, RBAC, team seats, shared scenarios/dashboards.
Long-horizon forecasts (≤25y), Bayesian scenario tier, full lakehouse export, tenant-scoped career-assessment use across employees (read:assess), dedicated isolation/data-residency options.
Priority support, SLA, onboarding.
Indicative: ~$25k–150k / year, seat- + data-scope-based. Target: strategy/corp-dev teams, consultancies, banks/asset managers, large employers planning workforce transitions.

API — embed the data

Programmatic, metered access to indices/indicators/forecasts/simulate for products and pipelines. Higher rate limits (600+ rpm), Parquet/JSON bulk, SLA, sandbox keys.
Indicative: usage-based — per-call / per-1k-rows tiers, e.g. starter ~$500/mo → volume contracts. Target: fintech/HR-tech/edtech integrators, quant funds, dashboards building on CC data.

Government — the policy instrument

Deep subnational/city analytics, custom indicators, policy-scenario modeling, methodology transparency, on-prem/region-locked deployment, custom SLAs, and bespoke advisory.
Indicative: custom contracts (six figures+), often annual + services. Target: labor/economic ministries, central banks, development orgs, EU/OECD-adjacent bodies, regional development agencies.

University — the research license

Full data + forecasts + simulator for research and teaching, bulk export (CSV/Parquet), classroom seats, citable methodology and DOIs.
Indicative: discounted site license, ~$5k–25k / year (steep academic discount; free for individual student/educator with verification). Target: econ/policy/labor research groups, business schools. Drives citations → credibility → "the standard."

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Monetization logic

Land-and-expand: Free indices → Pro analyst seats → Enterprise org rollout. The public index is a marketing asset, not lost revenue.
Data-depth ladder: history depth, forecast horizon, scenario rigor (parametric → Monte-Carlo → Bayesian), and export volume are the value gates — each tier unlocks more of the same engine.
Two GTM motions: self-serve (Free/Pro/API starter) and sales-led (Enterprise/Government/API-volume/University).
Becoming-the-standard flywheel: University + Government adoption produces citations and policy use → authority → enterprises pay to align to "the CC standard." This is the OECD-AI-Index/World-Bank-Observatory playbook with a commercial layer (the Bloomberg model: indispensable reference + terminal + API).
Add-ons: custom indicators, white-glove scenario studies, branded/embeddable widgets, and historical bulk backfills as services revenue.

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These are model outputs and scenarios, not forecasts of actual outcomes. This platform measures access to, utilization of, and leverage from cognitive infrastructure — not intelligence. No causality or certainty is claimed.