ChatGPT Plugin

Perlucem.ai

Plain-language bank insights

Brand: Perlucem

Category: Data & Analytics
Primary Subcategory: Self-Serve BI & Conversational Analytics

Integration details

Description

Perlucem helps community bank executives understand their institution's performance in plain language. It provides bank-scoped access to regulatory-filing data, quarterly metric trends, peer comparisons, five-pillar TBPI scores, grounded analytical explanations, report content, data provenance, and secure data uploads. TBPI covers Revenue, Cost & Efficiency, Risk, Capital, and Operations on a 1–5 scale, with results grounded in deterministic analysis of FFIEC Call Report and UBPR data. Access requires a Perlucem account and is restricted to institutions assigned to the authenticated user.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Data & Analytics
Primary Subcategory: Self-Serve BI & Conversational Analytics
Secondary Subcategories: None listed
Brand: Perlucem
Access: Account required
First tracked: 2026-09-28
Tool count: 12
Market: US

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Primary Subcategory

Competing in ChatGPT Self-Serve BI & Conversational Analytics

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Listed in alphabetical order

Primary Subcategory

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Tools

12 tools agents can invoke

Overview of your bank: identity, latest data snapshot (code and quarter), and the most recent TBPI pillar scores if generated. Start here for any conversation about the bank's performance.
get_bank_overview
Provenance and audit trail for your bank's current data snapshot: snapshot code, quarter, SHA-256 checksums of each source CSV, and when/by whom it was created. Use to answer 'where does this data come from?' and auditability questions.
get_snapshot_provenance
Quarterly history for one or more of your bank's financial metrics (e.g. 'Net Interest Margin (NIM)', 'Efficiency Ratio', 'Return on Assets (ROA)'), with the current peer standing. Percentiles are PERFORMANCE percentiles: higher always means better. Some metrics carry a standing word instead of a percentile (banded/threshold/context metrics).
get_metric_history
List the bank(s) your account is assigned to. Use when unsure which institution your other tool calls will operate on.
list_my_banks
Your bank's peer standing for a pillar's key metrics (or all pillars): performance percentile, positional label, and peer median for each. Higher percentile always means better. Use for 'how do we compare to peers?' questions.
compare_to_peers
Ask a deep analytical question about your bank and get a grounded answer from the TBPI pillar analyst (the same engine behind the web chat). Best for 'why' and 'what should we do about' questions that need reasoning over the bank's data and peer context. Slower than the data tools (runs a full analysis).
ask_pillar_analyst
List the TBPI reports and documents generated for your bank (pillar deep dives, executive assessment, CAMELS, uploads). Returns each report's id, title, type, and pillar.
list_reports
Start a data-room upload for your bank. Returns a secure, single-use upload link (valid 30 minutes) plus the exact template the file must follow. Flow: call this when the user wants to upload data → give them the link → they upload in their browser → when they say they're done, call check_upload_status to confirm ingestion. Available template: custom_metrics (columns: metric_name, quarter, value — any metric time series).
request_upload
Fetch the full markdown content of one of your bank's reports by its id (from list_reports).
get_report
Your bank's five TBPI pillar scores (Revenue, Cost & Efficiency, Risk, Capital, Operations) from the latest completed assessment. Scale: 1=Strong, 2=Satisfactory, 3=Fair, 4=Marginal, 5=Unsatisfactory.
get_pillar_scores
Status of your bank's recent data-room uploads: ready (with DR code, row count, SHA-256 checksums), failed (with the exact validation reasons to relay), or pending. Call after the user says they've uploaded, or when they ask about their data.
check_upload_status
The normalized rows of a READY data-room upload (latest, or by DR code) so you can analyze the bank's own uploaded data alongside its TBPI metrics. Data is deterministic-validated and checksummed; cite values verbatim.
get_uploaded_data

FAQs

Perlucem.ai ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Perlucem.ai's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Perlucem.ai alternatives on ChatGPT?

As of 2026-11-02, Perlucem.ai competes with ADECI, Adzviser Google Analytics, Adzviser Shopify, AI for Database, AI2SQL, Alteryx Insights, AnalyticsLog, Anomaly AI and 81 more in ChatGPT Self-Serve BI & Conversational Analytics, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.