Developers

Build with the Task Intelligence Graph

A free, read-only HTTP API and an embeddable iframe widget over Runway’s Task Intelligence Graph. Use them in journalism, research, course materials, internal tools, chatbot integrations, or whatever else. CORS-enabled, no auth, no rate limit (yet) — just don’t hammer it. Attribution requested.

For journalists

Cite our data

Fetch any role’s exposure score, evidence, or industry deployment numbers via /api/v1. Citation block in every response.

See endpoints →

For educators

Embed a widget

Drop an iframe into your career-services page or course material. Always reflects latest data. Auto-updates.

See embed snippet →

For builders

Wire it into your app

Permissive CORS, predictable JSON. Pull capability evidence into a chatbot, build a dashboard, augment a hiring product.

See endpoints →

Embeddable widget

One iframe, any role

Drop this iframe into any page. The widget renders an exposure score, top-3 most-exposed tasks, and links back to the full role page on careerrunway.ai. Standalone HTML — no JS required on your site.

HTML

<iframe
  src="https://careerrunway.ai/embed/role/marketing-manager"
  width="100%" height="420" loading="lazy"
  style="border:1px solid #e5e5e5;max-width:720px"
  sandbox="allow-scripts allow-same-origin allow-popups"
  title="Marketing Manager — AI Exposure | Runway"></iframe>

Replace marketing-manager with any role slug from /api/v1/roles. The widget traffic is UTM-tagged with the embedder’s domain so we don’t need any tracking pixel from your end.

API endpoints

7 routes, all read-only

Base URL: https://careerrunway.ai/api/v1. All endpoints support GET + OPTIONS (CORS preflight). Cached at the edge for 5 min, browser for 5 min, stale-while-revalidate 1 day.

GET/api/v1

Discovery endpoint — lists every available route.

Request

curl https://careerrunway.ai/api/v1

Response (preview)

{
  "data": {
    "name": "Runway Public API",
    "version": "v1",
    "endpoints": [...],
    "license": "Free for any non-commercial use. Attribution requested.",
    "citation": { ... }
  }
}

GET/api/v1/roles

List all roles in the taxonomy with summary metadata.

Request

curl https://careerrunway.ai/api/v1/roles

Response (preview)

{
  "data": {
    "roles": [
      {
        "slug": "data-analyst",
        "taskCount": 20,
        "capabilityEvidenceCount": 102,
        "adoptionSignalCount": 88,
        "exposureScore": 24,
        "url": "https://careerrunway.ai/roles/data-analyst"
      },
      ...
    ],
    "total": 15
  }
}

GET/api/v1/roles/{slug}

Full role profile — every task, capability evidence, adoption signals.

Request

curl https://careerrunway.ai/api/v1/roles/marketing-manager

Response (preview)

{
  "data": {
    "role": {
      "slug": "marketing-manager",
      "taskCount": 18,
      "exposureScore": 22,
      "tasks": [
        {
          "id": "campaign_optimization",
          "label": "Campaign Optimization",
          "properties": { "embodiment": "low", ... },
          "capabilityEvidence": [...],
          "adoptionSignals": [...]
        }
      ]
    }
  }
}

GET/api/v1/tasks

Every atomic task tracked, with capability + adoption summary.

Request

curl https://careerrunway.ai/api/v1/tasks

Response (preview)

{
  "data": {
    "tasks": [
      {
        "id": "feature_implementation",
        "label": "Feature Implementation",
        "roleSlugs": ["software-engineer"],
        "capabilityEvidenceCount": 12,
        "avgCapabilityQuality": 71,
        "avgDeploymentRate": 0.043,
        "industriesCovered": 7
      }
    ]
  }
}

GET/api/v1/tasks/{id}

Full task profile — properties, all evidence, all adoption signals across industries.

Request

curl https://careerrunway.ai/api/v1/tasks/feature_implementation

Response (preview)

{
  "data": {
    "task": {
      "id": "feature_implementation",
      "label": "Feature Implementation",
      "properties": { "embodiment": "low", "consequenceStakes": "medium", ... },
      "capabilityEvidence": [
        {
          "claim": "...",
          "qualityThreshold": 78,
          "confidenceLevel": "confirmed",
          "sourceName": "...",
          "sourceUrl": "..."
        }
      ],
      "adoptionSignals": [...]
    }
  }
}

GET/api/v1/industries

List all 7 tracked industries with deployment summary.

Request

curl https://careerrunway.ai/api/v1/industries

Response (preview)

{
  "data": {
    "industries": [
      {
        "id": "technology",
        "slug": "technology",
        "label": "Technology",
        "signalCount": 293,
        "tasksCovered": 274,
        "avgDeploymentRate": 0.024,
        "avgVelocityQuarterly": 0.003
      }
    ]
  }
}

GET/api/v1/industries/{slug}

Industry profile — top-10 most-exposed roles, top-20 most-exposed tasks, aggregates.

Request

curl https://careerrunway.ai/api/v1/industries/financial-services

Response (preview)

{
  "data": {
    "industry": {
      "id": "financial_services",
      "topRoles": [
        { "slug": "...", "exposureScore": 28, "coveredTasks": 14 }
      ],
      "topTasks": [...]
    }
  }
}

Citation

If you use this, cite it

Free for any use, including commercial. Attribution requested but not required. The Task Intelligence Graph is the result of substantial work mapping atomic tasks to capability evidence and tracked deployment signals — let citation flow back so others can find it.

Short form

Source: Runway Task Intelligence Graph (careerrunway.ai)

Long form

Runway. Task Intelligence Graph (api.careerrunway.ai/v1). Career Runway. https://careerrunway.ai

Limits + contact

No hard rate limit yet — just be courteous

Soft cache-based throttle: 5-minute edge cache absorbs most legitimate traffic.
If you expect >1,000 req/day, please email [email protected] so we can plan capacity.
Never send PII to the API — none of these endpoints accept user data, but please don’t put any in URL params either (referrer leakage).
Status: this is v1. We’ll version any breaking changes.

Other developer-facing surfaces

Task Explorer (UI)Quarterly Intelligence Report Methodology

Loading Runway...

{ "data": { "roles": [ { "slug": "data-analyst", "taskCount": 20, "capabilityEvidenceCount": 102, "adoptionSignalCount": 88, "exposureScore": 24, "url": "https://careerrunway.ai/roles/data-analyst" }, ... ], "total": 15 } }

{ "data": { "role": { "slug": "marketing-manager", "taskCount": 18, "exposureScore": 22, "tasks": [ { "id": "campaign_optimization", "label": "Campaign Optimization", "properties": { "embodiment": "low", ... }, "capabilityEvidence": [...], "adoptionSignals": [...] } ] } } }

{ "data": { "tasks": [ { "id": "feature_implementation", "label": "Feature Implementation", "roleSlugs": ["software-engineer"], "capabilityEvidenceCount": 12, "avgCapabilityQuality": 71, "avgDeploymentRate": 0.043, "industriesCovered": 7 } ] } }

{ "data": { "task": { "id": "feature_implementation", "label": "Feature Implementation", "properties": { "embodiment": "low", "consequenceStakes": "medium", ... }, "capabilityEvidence": [ { "claim": "...", "qualityThreshold": 78, "confidenceLevel": "confirmed", "sourceName": "...", "sourceUrl": "..." } ], "adoptionSignals": [...] } } }

{ "data": { "industries": [ { "id": "technology", "slug": "technology", "label": "Technology", "signalCount": 293, "tasksCovered": 274, "avgDeploymentRate": 0.024, "avgVelocityQuarterly": 0.003 } ] } }