Actionist·Clarifai

Clarifai

· #446 most-used

Run AI predictions on images, video, text, and audio — at production scale

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Clarifai is a full-stack AI platform for unstructured data — images, video, text, and audio. Its REST API gives agents direct access to over 500 pre-built models (image classification, object detection, face recognition, text moderation, embedding, and more), as well as custom-trained models and multi-model workflows. Connect Clarifai to Actionist and your agents can submit images for instant concept recognition, detect objects in video frames, run text through safety classifiers, search an embedding index, train new models from labeled inputs, and pipe the results into any other connected tool — all without writing a line of ML code.

Try Clarifai with ActionistVisit Clarifai
Average time saved
14 hours
per person · per month
≈ 2 workdays back

Eliminates manual work. Agents eliminate the manual cycle of uploading media to a vision dashboard, waiting for results, copying predictions into downstream tools, and hand-labeling inputs for model retraining.

Schedule

What your Clarifai agent runs on autopilot

A week of scheduled jobs your Actionist agent will execute on your behalf.

28Scheduled jobs
7Agents at work
24/7Always on
Agents
Tue–Thu
Tue
Wed
Thu
7a
8a
9a
10a
11a
12p
1p
2p
3p
4p
5p
6p
Multi-app workflows

Clarifai × every other app you use

End-to-end automations that span multiple apps — each one a real business outcome.

6Workflows
8Apps spanned
~58 hrsSaved / week
6Personas served
For marketing
Featured4 apps

Auto-safety-gate creative assets before they reach paid media

Every creative asset added to the campaign folder is automatically screened for safety and tagged with its top concepts before any human sees it in the publishing queue. Non-compliant assets are flagged in Slack within about a minute; clean assets are logged as approved and ready for the media buyer.

~30 hrs

Time saved for your team — every week, on autopilot

The flow
Trigger·When a new creative asset is uploaded to the campaign folder in Google Drive
Trigger
Step 1
Google Drive
Detect new file added to the campaign folder
write
Step 2
Clarifai
Submit image or video frames to Run Workflow Prediction (moderation + concept workflow)
read
Step 3
Clarifai
Evaluate risk score from workflow output
write
Step 4
Slack
Post risk score and concept labels to #creative-review if threshold exceeded
write
Step 5
Google Sheets
Log asset name, classification result, and approval status to the creative tracker
Result
Submit image or video frames to Run Workflow Prediction (moderation + concept workflow)Post risk score and concept labels to #creative-review if threshold exceededLog asset name, classification result, and approval status to the creative tracker
The win
Saved per run
~2 hrs
Runs / week
~20×
No unsafe creative ever reaches paid media distribution
Driven byMarketing Agent
ROI

Savings

What your team gets back — two angles: what you stop doing manually, and what that's worth.

Without Actionist

What you do manually today

With Actionist

What your agent runs for you

  • Sales
    20 min / week
    Manual media review before prospect calls

    Sales reps open every attachment from prospects by hand, describe the content in their CRM notes, and search the asset library manually for a relevant reference image.

    Sales Agent
    0 min
    Agent classifies prospect media and surfaces relevant assets automatically

    The Sales Agent submits prospect images to Clarifai, writes the concept labels to HubSpot, and posts the most visually similar sales asset to the deal thread — before the rep opens the attachment.

  • Marketing
    45 min / week
    Manual brand safety review of every creative

    The creative team reviews every image and video frame by eye before it enters the media buying queue, flagging unsafe content manually and updating a tracking spreadsheet.

    Marketing Agent
    0 min
    Agent screens all creatives through Clarifai moderation before publish

    The Marketing Agent submits every creative to Clarifai's moderation workflow, flags unsafe assets in Slack, and logs the compliance result — all within about a minute of the file upload.

  • Customer Support
    30 min / week
    Manual triage of screenshot-heavy ticket queues

    Support leads open each ticket with an image attachment, identify the content type by eye, assign a topic tag, and route it to the correct team — adding 2–3 minutes of admin to every visual ticket.

    Customer Support Agent
    0 min
    Agent classifies screenshots and routes tickets before a rep opens them

    The Support Agent submits each screenshot to Clarifai, applies the returned concept labels as routing tags, and posts a classified summary to the correct team channel — before the ticket enters the rep's queue.

  • Human Resources
    15 min / week
    Manual document-type verification during onboarding

    HR coordinators open each uploaded document, verify by eye that the document type matches what was requested, and manually update the onboarding checklist with the verification result.

    Human Resources Agent
    0 min
    Agent classifies and verifies uploaded HR documents automatically

    The HR Agent submits each uploaded document image to Clarifai, compares the predicted document type against the expected type, and marks the onboarding checklist item as verified or flags a re-submission.

  • Finance
    60 min / week
    Manual invoice data entry from scanned images

    The AP team opens each scanned invoice, reads the vendor name, amount, and invoice number by eye, types them into the AP spreadsheet, and files the image separately.

    Finance Agent
    0 min
    Agent extracts and logs invoice data from scanned images automatically

    The Finance Agent submits each invoice image to Clarifai's OCR and classification workflow, extracts the structured fields, and writes them directly to the AP tracker — eliminating data entry from the AP workflow.

  • Operations
    45 min / week
    Manual model training and version management

    An ML engineer monitors labeled-input counts in the Clarifai dashboard, manually triggers training when enough new data has accumulated, and records the resulting version in a spreadsheet.

    Operations Agent
    0 min
    Agent monitors input counts and triggers retraining automatically

    The Operations Agent counts new labeled inputs each week, triggers Train Model when the threshold is met, logs the version ID to the tracking sheet, and notifies the team in Slack — no ML engineer dashboard-watching required.

  • Legal
    30 min / week
    Manual PII scan of transcripts before archiving

    A compliance analyst reads through closed support transcripts to check for unredacted PII before they are sent to the long-term archive — a time-consuming process that scales poorly with ticket volume.

    Legal Agent
    0 min
    Agent screens every transcript for PII before the archive job runs

    The Legal Agent runs each transcript through Clarifai's PII detection model, holds any transcript with detected PII for redaction, and logs the compliance decision — clean transcripts archive automatically.

+ 100s of other Clarifai automations
Average time saved
25 hrs / person / month
Calculator

Calculate what your team saves

Team size
5 people
Hourly rate
$75 / hr
Hours saved / week
18
Hours saved / year
875
Annual ROI
$65,625

Based on Clarifai's typical team usage — the visible tasks plus a few other automations the agent runs: ~3.5 hrs / person / week of admin work automated.

Connect

How to plug Clarifai into Actionist

Pick the connection method that suits your environment.

Authenticate with a Clarifai Personal Access Token (PAT). Generate one in Clarifai Security settings and paste it below — the agent uses it as a Bearer token on every API call.

1
Open Clarifai Security settings

Log in to Clarifai, click your avatar in the top-right corner, then go to Security → Personal Access Tokens.

2
Create a token

Click Create, give the token a name (e.g. 'Actionist'), set an expiry if required by your policy, and copy the generated token. Treat it like a password — you will not see it again.

3
Paste into Actionist

Paste the token into the field below and click Test connection. Actionist runs a read-only call to verify the handshake before any actions run.

Credentials you'll need
Personal Access Token*
Clarifai → top-right avatar → Security → Personal Access Tokens → Create
Actions

15 actions your agent can call

Read and write operations available to your Actionist agent.

Triggers

0 events your agent can react to

Events your agent watches for, and the actions it kicks off in response.

This app has no triggers yet.
FAQs

Questions about Clarifai + Actionist

How does Actionist connect to Clarifai?
Go to the Apps tab, find Clarifai, and click Connect. Enter your Clarifai Personal Access Token (PAT), which you generate in your Clarifai account under Security → Personal Access Tokens. Actionist uses the PAT as a Bearer token on every API call. Once connected, Actionist runs a read-only test call to verify the handshake before any actions run. You can revoke or rotate the token in Clarifai at any time without losing your Actionist configuration — just update the token field.
What Clarifai resources can Actionist agents work with?
Actionist agents can work with the four core Clarifai resource types: Models (run predictions, retrieve model info, trigger training), Inputs (upload media, list and search the input library), Workflows (run multi-model pipelines as a single call), and Concepts (add new label categories). The agent can submit images, video, and text for prediction, retrieve structured outputs, and write labels or metadata back to other connected apps — no ML coding required.
Which Clarifai models can I use through Actionist?
Any model accessible via the Clarifai REST API under your account can be used — that includes Clarifai's own pre-built models (general concept, NSFW, face detection, sentiment, language detection, embedding) and any custom models you have trained in your Clarifai application. You reference the model by its model ID and version ID in the action configuration. If you want to run multiple models in sequence, configure them as a Clarifai workflow and call it via the Run Workflow Prediction action.
Can Actionist automatically retrain my Clarifai model when new labeled data arrives?
Yes. The Train Model action triggers a training run programmatically on a model you specify. The recommended pattern is to schedule a weekly Operations Agent task that calls List Inputs to count new labeled examples since the last training run, then calls Train Model if the count crosses your threshold (commonly 50–100 new labels). The resulting model version ID is logged to a Google Sheets tracking sheet and posted to Slack so the team is informed without checking Clarifai manually.
How do triggers work with Clarifai — does the agent react to new predictions in real time?
Clarifai does not expose outbound webhooks for prediction events, so there are no native event triggers available. Actionist uses scheduled agent tasks to poll for new inputs, run predictions, and evaluate results on a recurring cadence — typically between every few minutes and once daily depending on your workflow. For workflows that need low latency (e.g. processing a ticket screenshot the moment it arrives), you can chain a trigger from another app (like Zendesk or Gmail) into a Clarifai prediction action within the same scheduled agent task.
How does Actionist handle large batches of images or video frames?
Clarifai's API accepts multiple inputs per request, so the agent can submit a batch of image URLs in a single Add Inputs or Predict Image Concepts call rather than one image at a time. For video, Predict Video Frames samples frames at a configurable interval (one per second is a common default) and returns per-frame predictions in a single API response. For very large batches — thousands of images — it is best to split the batch into pages and run them over consecutive scheduled agent task cycles to stay within API rate limits.
Can I use Clarifai's visual search through Actionist to power a product recommendation feature?
Yes. The Generate Image Embedding action produces a vector representation of an image, and Search Inputs queries the Clarifai application's input library by embedding similarity. The typical pattern is to run Generate Image Embedding on all catalog images on a weekly schedule and Search Inputs when a query image arrives — for example, a customer uploads a photo and the agent returns the five most visually similar products from the catalog. The results can be posted to Slack, written to HubSpot, or returned via a webhook to your frontend application.
Does Actionist support Clarifai's multi-application architecture?
Yes. Clarifai organises resources (models, inputs, workflows) into applications, and each Clarifai API call includes the app ID and user ID as path parameters. In Actionist, you specify the target app ID in the action configuration, so a single Clarifai connection can target multiple apps — for example, a production app for live predictions and a sandbox app for training data uploads. You can configure different agents to work against different Clarifai apps without needing separate PAT credentials.