BULK LIST SCORING

Score signup lists without building your own risk pipeline

Use Signup Risk Score API to upload CSV files, process signup lists asynchronously, and retrieve clean risk results for reviews, imports, CRM cleanup, fraud audits, and downstream workflows.

THE PROBLEM

Signup risk does not only happen in real time

Teams often need to evaluate signup lists after the fact: CRM imports, waitlists, historical signups, partner lists, suspicious account exports, or fraud-review batches. Without bulk scoring, those reviews become manual, inconsistent, and difficult to automate.

Manual list review

Teams waste time manually checking emails, domains, names, and suspicious patterns across large signup lists.

Dirty CRM imports

Low-quality leads, disposable emails, duplicate-like signups, and suspicious records can enter sales or onboarding systems in bulk.

Slow fraud audits

Fraud, support, and moderation teams need a repeatable way to score account exports, waitlists, and suspicious user batches.

HOW IT HELPS

Upload a CSV and retrieve scored results

Use bulk processing to score signup lists asynchronously without keeping your app in the request path.

STEP 01

Upload the list

Submit a CSV file with an email column and optional name data for each row.

STEP 02

Process asynchronously

The API creates a bulk job, scores each row using the same deterministic signup-risk engine, and tracks job progress.

STEP 03

Retrieve results

Download scored results with risk score, score band, recommendation, email class, validity, and row-level errors when present.

SIGNALS

Signals available in bulk scoring

Email intelligence

Normalize and validate emails, detect disposable domains, identify typo patterns, classify providers, and inspect domain health.

Name intelligence

Use optional per-row name data to evaluate local-part quality, name plausibility, and name/email consistency.

Business email classification

Classify rows as free, business, education, government, disposable, or unknown to support lead routing and list cleanup.

Risk scoring

Return deterministic 0–100 risk scores and score bands for each row in the uploaded file.

Historical risk cache

Reuse recent risk results to reduce repeated analysis for recurring lists, overlapping imports, and repeated account reviews.

Row-level results

Continue processing even when individual rows are malformed, empty, or invalid, with errors reported in the results file.

DECISIONING

Turn list rows into allow, review, or block decisions

ALLOW

Keep low-risk rows in your import, review set, onboarding queue, or CRM workflow.

REVIEW

Send uncertain rows to enrichment, manual review, extra verification, or a lower-priority workflow.

BLOCK

Suppress very high-risk rows before they pollute your systems, trigger outreach, or reach downstream workflows.

WORKFLOW

Where bulk scoring fits in your operations

STEP 01

Upload CSV

Upload a CSV file with emails and optional names

STEP 02

Asynchronous Processing

Signup Risk Score API creates a bulk job and processes rows asynchronously

STEP 03

Poll Status

Your team polls job status or waits for completion

STEP 04

Download & Route

Download results and route rows by recommendation

Use bulk results for CRM cleanup, waitlist review, fraud audits, list imports, seller reviews, lead scoring, or account-quality checks.

OUTCOMES

Clean up lists before bad data spreads

Reduce manual review

Replace one-off spreadsheet checks with consistent signup-risk scoring across every row.

Improve CRM quality

Filter suspicious records before they enter sales workflows, automation tools, or lead-routing systems.

Speed up audits

Give fraud, support, and moderation teams a repeatable way to evaluate account lists and suspicious batches.

Automate downstream workflows

Use recommendations and result files to route, suppress, enrich, or review rows consistently.

START SCORING LISTS

Score signup lists without manual review

Use Signup Risk Score API to process CSV files asynchronously and return risk scores, explanations, and allow/review/block recommendations at scale.