Rank Volatility Monitor

What it does

Measures how unstable brand rankings are across time.

Why this is insightful

Stable visibility and volatile visibility require different strategies. This skill helps separate noise from structural movement.

Required API fields

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

How to use

1. Build rank series per brand+keyword.
2. Compute standard deviation, disappearance rate, average change.
3. Produce a volatility score.

Expected output

• per-brand volatility report
• anomaly list
• confidence warning for sparse history

Copy-ready skill prompt

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

Skill: Rank Volatility Monitor
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.