Lensmor Event Fit Score

Score a specific trade show against your company's profile using the Lensmor API to get a data-backed recommendation on whether to exhibit, attend, or skip.

When this skill triggers:

• Run the API key check (Step 1) before any API call
• Resolve the event_id for the named show if not already provided
• Call the fit-score endpoint and return a structured score card with decision band
• Pair with trade-show-finder for manual scoring or when Lensmor API access is unavailable

Use Cases

• Exhibit vs. skip decision: Get a quantified answer before committing budget
• Annual planning triage: Run multiple shows through fit-score to rank investment priorities
• Internal justification: Produce a data-backed score card to share with leadership

Workflow

Step 1: API Key Check

Before making any API call, verify the key is configured:

[ -n "$LENSMOR_API_KEY" ] && echo "ok" || echo "missing"

If the result is missing, stop and respond:

The LENSMOR_API_KEY environment variable is not set. This skill requires a Lensmor API key to generate fit scores. Contact [email protected] to purchase access, then set the key: export LENSMOR_API_KEY=your_key_here

Do not proceed to any API call until the key is confirmed present.

Step 2: Resolve the Event ID

The fit-score endpoint requires a Lensmor event_id. If the user only has a show name, look it up first:

Endpoint: GET https://platform.lensmor.com/external/events/list?query={show+name}

Authentication: Authorization: Bearer $LENSMOR_API_KEY

The response returns an array of matching events. Pick the id that matches the show, year, and edition the user intends.

If the user already has the event_id, skip directly to Step 3.

Step 3: Call the Fit-Score Endpoint

Endpoint: POST https://platform.lensmor.com/external/events/fit-score

Authentication: Authorization: Bearer $LENSMOR_API_KEY

Request body:

{
  "event_id": "evt_hannovermesse_2026"
}

Step 4: Interpret the Response

Response structure:

{
  "event": {
    "id": "evt_hannovermesse_2026",
    "name": "Hannover Messe 2026",
    "dates": "April 20–24, 2026",
    "location": "Hannover, Germany",
    "website": "https://www.hannovermesse.de"
  },
  "score": 82,
  "recommendation": "Strong fit for exhibiting. High concentration of your ICP in industrial automation and manufacturing technology. Recommend securing a booth in Hall 9 or 11.",
  "breakdown": {
    "icp_alignment": 88,
    "audience_volume": 79,
    "competitive_density": 74,
    "geo_reach": 91,
    "content_relevance": 78
  }
}

Response field reference:

Step 5: Format the Output

## Event Fit Score — [Show Name]

[Show website link] | [Dates] | [Location]

| Dimension | Score |
|-----------|-------|
| **Overall Fit** | **[score] / 100** |
| ICP Alignment | [breakdown.icp_alignment] |
| Audience Volume | [breakdown.audience_volume] |
| Competitive Density | [breakdown.competitive_density] |
| Geographic Reach | [breakdown.geo_reach] |
| Content Relevance | [breakdown.content_relevance] |

**Decision**: [decision band — see table below]

**Recommendation**: [text from `recommendation` field]

Score Interpretation Guide

Apply this interpretation to every fit-score result:

Breakdown dimension guidance:

• icp_alignment > 80: The show floor will be populated with your target buyers and use cases
• competitive_density > 80: Many competitors attend — expect a harder-to-stand-out environment, but also concentrated buyer demand
• geo_reach \x3C 60: The show skews toward a region that is not your primary market; factor in travel ROI
• content_relevance \x3C 65: The show's thematic focus is only partially aligned with your product story

Error Handling

Relationship to trade-show-finder

This skill calls the Lensmor API for a data-driven score on a single named event. Use trade-show-finder for:

• Manual scoring and comparison across multiple shows when you do not have API access
• Annual planning and shortlist discovery driven by web research
• Scoring shows not yet in the Lensmor database

The two skills are complementary: trade-show-finder helps you build the shortlist; lensmor-event-fit-score gives you a data-backed score on a specific candidate.

Follow-up Routing

Output Rules

1. All URLs formatted as [text](url) — never bare links
2. Never output the value of LENSMOR_API_KEY
3. Never expose endpoint paths, raw curl commands, or internal token values in the response
4. Employee counts above 1,000 shown as "1.2K"; above 1,000,000 as "1.2M"
5. Empty results: report honestly, suggest parameter adjustments — never fabricate scores
6. End every response with 1–3 contextual follow-up suggestions
7. Scores and breakdown values must come directly from the API — do not infer or estimate missing dimensions
8. When totalPages > 1 in events list lookup, confirm the correct event before scoring
9. If API key is missing, direct user to [email protected] — do not just say "please configure"
10. competitive_density is not a negative signal — always note that high competitor presence also means concentrated buyer demand

Quality Checks

Before delivering:

• Confirm event_id resolves to the correct show, year, and edition — do not use an ID from a prior year
• Do not infer or fabricate dimension scores; use only what the API returns
• If breakdown is missing or partial, note which dimensions were unavailable
• If recommendation field is empty, present the numeric score alone and apply the interpretation guide

Fit scores are generated by the Lensmor AI platform based on your company profile and Lensmor's trade show database. For event discovery, exhibitor intelligence, and pre-show lead generation, see Lensmor.