Find lookalikes of a creator who worked for you

One creator performed well for us. Use the IQFluence MCP to find similar creators in the same market and give me a ranked table.

VARIABLES
- Platform: {{PLATFORM}} (instagram, tiktok or youtube; default instagram)
- The creator who worked: {{SEED_HANDLE}} (username on instagram/tiktok, channel URL or ID on youtube; e.g. @nutritionwithmay)
- Market where my buyers live: {{MARKET}} (e.g. United Kingdom)
- Creator size: {{FOLLOWERS_MIN}}–{{FOLLOWERS_MAX}} followers (default: roughly a third to three times the seed creator's size if I tell you it; otherwise no limit)
- Lookalikes I need: {{N}} (default 10)

STEPS
1. Free: use lookup_filter_values (kind='location') to confirm the market name.
2. Run ONE search_influencers call and no variations: topic = '@' + the seed handle (a lookalike search, no hashtags), audience_locations = market, followers_min/max from Creator size, last_posted_within_days = 90, limit = 2 × N. On instagram add engagement_rate_min_pct = 1. On tiktok and youtube add avg_views_min = 5000 instead: there ER is counted on views, so a high ER on tiny views means nothing.
3. Screen on the free data in the rows: drop the seed creator itself if it appears, drop rows whose audience share in the market is under 30%, drop rows with an engagement rate above 20% (almost always a data anomaly or a giveaway account). Rank the rest by audience share in the market, then by average views (tiktok, youtube) or ER (instagram). Do not buy reports to screen.
4. Count the free (already visible) rows that survived, then unlock only as many top hidden rows as needed to reach N with unlock_search_results (0.02 credits each). Tell me the total before you call it.

COST RULES
- Expected spend: ~0.16 credits for 10 lookalikes. Ask me before spending more than 0.5 credits in total.
- No get_influencer_report, compare_influencers, audience_overlap or get_contacts in this task.

OUTPUT
- A table sorted by audience share in the market: username, display name, followers, ER %, average views (tiktok/youtube), audience share in market %, profile link.
- One line under the table flagging any row that looks off-niche from its display name or category (e.g. a media brand or a parenting account in a food search) so I can swap it out.
- One line with the next step: run audience_overlap on the seed plus the top lookalikes to see how much new reach each adds (1 credit per call, 2–10 accounts), or compare_influencers on the top 3–5 (1 credit per creator without a report from the last 30 days).