Trade Show Lead Recommender

Retrieve Lensmor exhibitor recommendations for a specific trade show and distinguish ranked matches from unranked fallback records. "Who should we target at this show?" / "推荐参展商" / "Ausstellerempfehlungen für mein ICP" / "おすすめ出展社を教えて" / "recomienda expositores por ICP". ICP match, recommended exhibitors, shortlist, top accounts, ICP匹配/推荐参展商/找目标客户/哪些公司值得拜访 Ausstellerempfehlung 出展社推薦 recomendaciones ICP

Lensmor Exhibitor Recommendations

Retrieve event-scoped exhibitor recommendations from Lensmor. The endpoint may return either populated recommendation metadata or an unranked event-exhibitor fallback. Never call fallback rows AI-ranked.

Workflow

Step 1: API Key Check

bash

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

If missing, stop and direct the user to obtain a Lensmor API key. Never print its value.

Step 2: Resolve the Event

If only a show name is available, call:

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

Authenticate the event lookup as well as the recommendation request. Every Lensmor API call in this workflow must send Authorization: Bearer $LENSMOR_API_KEY; never call the event lookup without the header.

bash

curl -sS "https://platform.lensmor.com/external/events/list?keyword=MEDICA%202026" \
  -H "Authorization: Bearer $LENSMOR_API_KEY"

Use the matching items[].id or items[].eventId. Confirm the year and edition before continuing. Do not use query= because it is not a supported event filter.

Step 3: Select Filters

The recommendations endpoint accepts:

Parameter	Type	Notes
event_id	string	Required
location	string or repeated string	Country or region filter
searchQuery	string	Company-name or description search
exhibitorName	string or repeated string	Exact account filter
category	string or repeated string	Category filter
industry	string or repeated string	Industry filter
employeesMin, employeesMax	integer	Company-size range
page, pageSize	integer	Pagination; max page size 100

Use repeated parameter names for arrays, for example:

text

event_id=12740&category=Medical%20Devices&category=Drug%20Delivery&page=1&pageSize=20

Step 4: Call the API

Endpoint: GET https://platform.lensmor.com/external/profile-matching/recommendations/exhibitors

Authentication: Authorization: Bearer $LENSMOR_API_KEY

Step 5: Classify the Response Mode

The response contains items, pagination fields, and may contain:

• recommendationProcessing
• show_refresh_hint

Item recommendation fields include:

• isRecommended
• recommendationRank
• matchStatus
• matchScore
• matchTier
• reason

Apply this gate before writing the result:

1. Processing — if recommendationProcessing is true, say recommendations are still processing. Do not rank the rows.
2. Ranked recommendations — use this label only when returned items contain meaningful recommendation evidence such as isRecommended: true, a non-null recommendationRank, matchScore, matchTier, or reason.
3. Unranked fallback — if recommendation fields are null/false across the returned rows, label them event exhibitor records, not AI recommendations. Preserve the API order but do not interpret it as ranking.
4. If show_refresh_hint is true, report only: The API returned show_refresh_hint=true; this flag does not identify a cause or required action. Do not mention profile updates or prescribe changes unless the API returns that instruction separately.

Useful company fields include companyName, description, website, country, industry, categories, employeeCount, fundingRound, and techStacks.

Step 6: Format the Output

For populated recommendations:

markdown

## Exhibitor Recommendations — [Show]

Found [total] records; [N] returned rows contain recommendation evidence.

| Rank | Company | Match | Tier | Why |
|---:|---|---:|---|---|
| [recommendationRank] | [Company](website) | [matchScore] | [matchTier] | [reason] |

For fallback results:

markdown

## Event Exhibitors — Recommendation Data Not Available

The API returned [total] event exhibitors, but the current page does not contain populated recommendation scores, ranks, or reasons. The order below is not an ICP ranking.

| Company | Industry | Categories | Employees | Country |
|---|---|---|---:|---|
| [Company](website) | [industry] | [categories] | [employeeCount] | [country] |

[Show refresh hint, if returned]

Error Handling

Condition	Response behavior
401	API key invalid or expired
404	Event ID was not found; resolve the current edition again
429	Wait for the rate-limit window and retry
total: 0	Loosen filters one at a time
Recommendation fields empty	Use the unranked fallback format

Follow-up Routing

• Populated ranked result → trade-show-contact-finder for the top accounts
• Fallback result → use trade-show-exhibitor-search for factual filtering; do not prescribe profile changes from fallback state alone
• Need outreach → booth-invitation-writer
• Need an event-level go/no-go decision → trade-show-fit-score

Output Rules

1. Never output LENSMOR_API_KEY or raw authorization headers.
2. Do not call results AI-ranked unless recommendation metadata is populated.
3. Do not invent a match reason from category, funding, or tech-stack fields.
4. If you add your own operational interpretation, label it separately from Lensmor's returned recommendation.
5. Preserve returned rank and score values exactly; do not fill null fields.
6. Treat fundingRound and company metadata as potentially stale profile signals.
7. If there are more pages, offer to continue and retain the active filters.
8. Format public URLs as Markdown links.
9. Render null company fields as "Not available" in user-facing tables; never fill them from inference.
10. Never say recommendation data can be unlocked or enabled by profile changes based only on show_refresh_hint.
11. When show_refresh_hint is the only signal, do not mention profile updates at all; report the flag and its uncertainty boundary only.
12. When routing to trade-show-contact-finder, say find relevant contacts; do not promise decision-makers or verified authority.

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Recommendations and exhibitor records are sourced from the Lensmor platform. For pre-show prospecting and contact discovery, see Lensmor.