Admin Only Feature: Targeted Discovery is a high-power, credit-intensive pipeline currently gated behind a feature flag and requires the signals:create RBAC permission.
The Architecture
Targeted Discovery runs on a highly resilient, asynchronous QStash worker pipeline. This allows it to handle massive batches of accounts, respect provider rate limits, and resume gracefully if interrupted.
Progressive Exa AI Query Packs
Instead of running one generic search, the engine uses 3 tiers of Progressive Query Packs. If Tier 1 (high precision, low recall) fails to find a signal, it gracefully falls back to Tier 2, and then Tier 3, ensuring maximum coverage while optimizing token spend. It actively searches across 9 core signal families.
4-Dimension Candidate Evaluation
When Exa AI returns a candidate URL, it isn’t immediately accepted. The LLM Evaluator scores the candidate across 4 dimensions:
- Name Match: Does the text actually refer to the target company?
- Domain Match: Does the context align with the company’s domain?
- Context Consistency: Is the event described logically consistent?
- Signal Quality: Is this a high-value signal or just SEO spam?
A candidate must score a minimum of 60/100 to proceed.
4-Layer Deduplication
To ensure you never see the same signal twice, candidates pass through a 4-layer dedup firewall before insertion:
- Exact URL Match
- Semantic Title Similarity
- Payload SHA-256 Fingerprinting
- Recent Time-Window Exclusion (prevents logging the same event multiple times in a week)
