MerchantScope

v0.2

Detective mode — multi-agent investigation with cardholder context and a citable evidence trail.

Pika
01Source Sweepqueued

Free public sources fanned out in parallel.

Aim · Run every enabled source in parallel
Abra
02Identityqueued

Triangulates the legal entity from registry + SEC + WHOIS.

Aim · Resolve the real legal entity
Eevee
03Lookalikequeued

Unicode confusables + Levenshtein vs. top-brand watchlist.

Aim · Detect lookalike + confusable names
Char
04Velocityqueued

Cross-checks domain age, Wayback first-seen, and news volume.

Aim · Check timeline coherence
Meo
05Reputationqueued

Reads Reddit, news, reviews; flags confirmed-negative signals.

Aim · Read chatter, flag negatives
Tap mascot card to override model + prompts
Jiggly
06Sentimentqueued

Fits VADER sentiment slope; flags collapses + inflections.

Aim · Find sentiment inflections over time
Tap mascot card to override model + prompts
Bulba
07Counterpartyqueued

Names vendors, partners, parents, co-defendants from text.

Aim · Name vendors, partners, co-defendants
Tap mascot card to override model + prompts
qui
08Connectionqueued

Tracks cardholder ↔ merchant overlap.

Aim · Cross-check cardholder overlap
Tap mascot card to override model + prompts
Loom
09Networkqueued

Walks the entity graph for shared agents, addresses, and cert-sibling clusters — including prior flagged cases.

Aim · Link this merchant across cases
Rhydon
10Legalqueued

Lawsuit / investigation / consent-order signals.

Aim · Pull lawsuit / consent-order hits
mew2
11Pattern Huntqueued

Matches assembled findings against a fraud-archetype catalog.

Aim · Match the fraud-archetype catalog
Tap mascot card to override model + prompts
Zard
12Synthesisqueued

Weighs every signal, pattern-matches archetypes, writes the memo.

Aim · Weigh evidence, score, narrate
Tap mascot card to override model + prompts

Investigation Inputs

Only the merchant name is required. Cardholder context dramatically improves the connection check.

Paste internal transaction rows (sent to the backend and to your LLM provider)

One row per line. The backend reads the date, amount, descriptor and MCC, totals them, and hands the totals to the velocity, connection, pattern and synthesis agents. Formats it understands: ISO or US dates, dollar signs, thousands separators, tabs or runs of spaces. Rows it cannot read are counted and reported rather than dropped silently.

Run an investigation to begin

Merchant name is required. Add cardholder details to unlock Trail — the connection agent. Tap any AI mascot in the top horizontal strip to tune its model or prompt.