FullMention
Use one ingestion pull, store data locally, and run analysis offline to minimize API calls.

New Entrant Detector

How to use New Entrant Detector with FullMention API data to generate actionable insights.

New Entrant Detector

What it does

Detects brands newly entering top N and measures persistence.

Why this is insightful

Early entrant detection helps teams react before new competitors consolidate visibility.

Required API fields

  • createdAt
  • query.keyword
  • rankings.brands[].name
  • rankings.brands[].rank

Input params

  • topN (default 20)
  • minPersistencePeriods (default 2)

How to use

  1. Detect first topN appearance.
  2. Track consecutive retention periods.
  3. Score entrant strength by entry rank + persistence.

Expected output

  • new entrants list
  • persistence score
  • early winner candidates

Copy-ready skill prompt

Use this as a full copy/paste prompt in your AI tool:

Skill: New Entrant Detector
Goal: Run this analysis on FullMention data only.
Data policy:
- Do one controlled ingestion pull from FullMention API.
- Store dataset locally (file/local DB) and analyze offline.
- No repeated API fetch loops during analysis.
Execution contract:
- Provide ingestion_plan, max_api_calls, cache_key, dataset_timestamp, analysis_mode=offline_only.
Required fields:
- Use the required API fields listed on this page.
Output requirements:
- Return summary, key metrics, and evidence_map with source_field_paths and sample_result_ids.
- Include limitations and confidence score rationale.

Run This Skill

Copies the full skill prompt, including data policy and output contract.