Auto-vet new creators in your Airtable pipeline

I want an agent workflow that vets new creators as they land in my Airtable influencer pipeline.

Trigger: poll Airtable for a new record in my "Inbound Creators" table. Each row has at least a handle field and a platform field (Instagram or TikTok). Use Airtable's New Record event.

When a new row appears, the agent should:

1. Read the row to get the handle, the platform, and the Airtable record ID.

2. Call HypeAuditor. If the platform is Instagram, use Get Instagram Report. If the platform is TikTok, use Get TikTok Report. Pass the handle. Pull these fields out of the response: audience authenticity score, engagement rate, fake follower share, top audience countries, age and gender split, follower count, and brand affinity.

3. Compare the metrics against brand fit criteria the user configures when they run the workflow: minimum follower count, minimum engagement rate, minimum audience authenticity score, maximum fake follower share, and target audience countries with a minimum combined share that must fall inside those countries. Use sensible defaults if the user does not override them.

4. Decide a fit tier: Fast-Track if the creator clears every threshold by a comfortable margin, Pass if the creator clears every threshold, or Review if the creator misses one or more thresholds but is still worth a human look. Let the user rename the tiers.

5. Write the result back to the same Airtable row using Update Record. Populate these fields: Fit Tier, Rationale (a one-paragraph plain-English summary of why this tier), Followers, Engagement Rate, Audience Authenticity, Fake Followers %, Top Countries, and Brand Affinity. Let the user remap any of these column names.

6. If the report comes back with red flags (audience authenticity below threshold, fake follower share above threshold, suspicious follower growth flagged by HypeAuditor, or audience country mismatch), also Send a Message in Slack to the user's #creator-vetting channel. The message should include: the handle, the platform, which threshold(s) failed with the actual numbers, the fit tier, and a clickable link back to the Airtable record.

7. If HypeAuditor returns the account as private, restricted, deleted, or too small to report on, write "Cannot vet" plus the reason into the Airtable Rationale field and skip the Slack alert.

Inputs the user should provide when running the workflow: the Airtable base ID and table name for the Inbound Creators table, the field names on that table (handle, platform, fit tier, rationale, and the metric output columns), threshold values for each fit criterion, target audience countries plus the minimum combined share for a country match, and the Slack channel for red-flag alerts.

Use the HypeAuditor, Airtable, and Slack integrations.