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

Alerting Rules Engine

How to use Alerting Rules Engine with FullMention API data to generate actionable insights.

Alerting Rules Engine

What it does

Generates deterministic alerts from latest vs prior result comparison.

Why this is insightful

Teams stop reacting late. Alerts surface meaningful rank drops/disappearances quickly with evidence.

Required API fields

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

Optional input

  • alertConfig

How to use

  1. Compare current and prior rank states.
  2. Evaluate threshold rules.
  3. Assign severity and include field-level evidence.

Expected output

  • alert list with severity
  • message
  • evidence payload

Copy-ready skill prompt

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

Skill: Alerting Rules Engine
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.