Skip to main content
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.
Unlike the continuous, passive web monitoring of the standard Market Radar, Targeted Discovery is an active, account-first scanning pipeline. It iterates over your prioritized accounts and actively hunts for specific signals on the live web.

​
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:
  1. Name Match: Does the text actually refer to the target company?
  2. Domain Match: Does the context align with the company’s domain?
  3. Context Consistency: Is the event described logically consistent?
  4. 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:
  1. Exact URL Match
  2. Semantic Title Similarity
  3. Payload SHA-256 Fingerprinting
  4. Recent Time-Window Exclusion (prevents logging the same event multiple times in a week)