02 / CASE STUDY2026 / AI research automation

Prospect Research Agent

Python · FastAPI · PostgreSQL · React · Docker
PROSPECT RESEARCH AGENT
JOB / PR-041RUNNING
01DISCOVER1,114 URLs
02VERIFYVERIFY DOMAIN
03SCOREICP SCORE
04BUYER361 BUYERS
05CHECK331 HUMAN
42.8×BEFORE
4.12×AFTER
1,557TESTS PASSING
01THE CHALLENGE

Run discovery, domain verification, ICP scoring, buyer discovery and email checks without duplicate work or uncontrolled request amplification.

02WHAT I WORKED ON

Built a 21-table PostgreSQL knowledge base and idempotent job pipeline; reduced request amplification from 42.8x to 4.12x with caching, redirect reuse and fetch guards, backed by 1,557 passing tests.

03ARCHITECTURE
01DISCOVER

External sources / user input

02NORMALIZE

Validation / dedupe / caching

03ORCHESTRATE

APIs / model calls / business rules

04SERVE

API / search / UI

Back to work