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Clarifai

Computer Vision

Open documentation ↗
OAuthHTTPSCORS?AI

Checked today: not responding

API key

OAuth flow

HTTPS

Supported

Browser calls

Unconfirmed

Status

Failing · 0/100

Overview & Architectural Role

Clarifai provides programmatic access to computer vision. Delivered over secure HTTPS protocols, it exposes structured endpoints designed to integrate cleanly into modern frontend frameworks, backend microservices, and automated data pipelines without requiring local database provisioning.

Who it is built for

Engineers building web dashboards, mobile applications, CLI utilities, or background cron workers in need of reliable ai data feeds.

Architectural Advantage

Consuming Clarifai removes the operational overhead of running custom scrapers, orchestrating headless browser fleets, or manually seeding and maintaining a local database. Instead of reverse-engineering volatile DOM layouts or dealing with anti-bot IP blocks, your application connects directly to a standardized JSON interface designed for backend ingestion with consistent schema schemas. Dedicated authentication ensures rate quotas and credential tracking per project environment.

What our checks found

Health score
0/100
Reliability
0%
Average latency
0ms

Last checked 2026-10-24. Measured independently, not self-reported by the provider.

Core Use Cases & Architecture Ideas

Practical real-world patterns for integrating Clarifai into software systems.

Automated Content Enrichment Pipeline

Augment user submissions or catalog items with metadata, tagging, summaries, or vector analysis.

Architecture: An async job queue pushes inbound text or media to Clarifai, awaiting the transformed payload before updating the primary relational database.

Interactive Chat & Intelligent Assistant

Power real-time conversational flows, prompt engineering experiments, or automated customer support triage.

Architecture: Next.js API route streams response tokens from Clarifai directly to a React frontend using Server-Sent Events (SSE).

Sentiment & Anomaly Detection Monitor

Classify incoming customer feedback, support tickets, or error logs to detect customer sentiment trends.

Architecture: Ingestion webhook forwards message payloads to Clarifai for classification, routing high-priority flags to Slack notification channels.

Code Implementation Examples

Production-ready starting templates with error handling for Clarifai.

// Uses OAuth. Exchange your credentials for an access token first.
// Modern native fetch with error handling
async function callApi() {
  try {
    const response = await fetch('https://docs.clarifai.com/api/v1/resource', {
      method: 'GET',
    headers: {
      'Authorization': 'Bearer YOUR_ACCESS_TOKEN',
      Accept: 'application/json',
    },
    });

    if (!response.ok) {
      throw new Error(`HTTP ${response.status}: ${response.statusText}`);
    }

    const data = await response.json();
    console.log('Response payload:', data);
    return data;
  } catch (error) {
    console.error('API request failed:', error);
    throw error;
  }
}

// callApi();

Response Payload & Live Testing

Inspect the expected JSON structure returned by Clarifai.

Expected JSON Response Payload

Authentic sample payload structure to evaluate schema attributes before integration.

{
  "id": "gen-cgzdmle",
  "model": "standard-v1",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Processed output generated successfully from input prompt."
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 18,
    "completion_tokens": 12,
    "total_tokens": 30
  }
}
Format: application/json

Integration Considerations & Best Practices

Technical factors to keep in mind when integrating Clarifai into production environments.

Implement In-Memory or Edge Caching

Avoid triggering rate limits on public feeds by caching response payloads in Redis, Vercel KV, or standard HTTP Cache-Control headers with a 5-to-15 minute TTL.

Shield Credentials in Backend Route Handlers

Never expose private API keys in client-side JavaScript or bundle environments. Proxy requests through a Next.js API route or serverless backend to keep secret keys out of public DevTools inspection.

Validate HTTP Status Before Parsing JSON

Always inspect response.ok before executing response.json(). Upstream services returning 4xx or 502 Bad Gateway often serve HTML error pages, which cause syntax errors when parsed as JSON.

Where this listing comes from

Aggregated from one public source (public-apis), then normalised and checked by us.

Report an issue with this listing ↗

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Clarifai — common questions

Answered from what our own scheduled checks found, not from the provider's marketing.

Is Clarifai free to use?

Clarifai is listed in our free catalogue, but it requires OAuth, so you will need to register before your first call. Providers frequently reserve higher limits and commercial use for paid plans.

Does Clarifai need an API key?

Clarifai uses OAuth rather than a simple key, so you register an application and complete an authorisation flow before making calls. That is more setup than a key, and it is why OAuth APIs are harder to try quickly.

Can I call Clarifai from browser JavaScript?

We could not confirm CORS support for Clarifai. Test it from a browser before relying on it client-side; if the request succeeds in curl but fails in the console, CORS is the reason.

Is Clarifai still working?

Not at our last check on 2026-10-24. Clarifai did not respond successfully, which is why it is marked as down here. This may be temporary; we re-check on a schedule and the badge above reflects the most recent run.

Is Clarifai available over HTTPS?

Yes. Clarifai serves over HTTPS, so you can call it from a secure page without triggering a mixed-content block.