Bloomberg Query Language (BQL)
Bloomberg Query Language (BQL) is a proprietary query language for accessing, filtering, aggregating, and computing on Bloomberg's financial data universe. BQL enables users to write flexible data requests that go beyond standard API fields, supporting derived calculations, time series expressions, and complex filtering of securities and data points. Available in the Bloomberg Terminal, Excel Add-in, and via API.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Bloomberg Query Language (BQL) the way a machine reads it — 17 machine-readable artifacts across 2 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Bloomberg Query Language (BQL) scores 28.5/100 (emerging), with a separate agent-readiness read of 7/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
How we profile Bloomberg Query Language (BQL)
Each block below is one kind of artifact we hold for Bloomberg Query Language (BQL). For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 2
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Bloomberg Query Language (BQL) API
Execute BQL queries programmatically via the Bloomberg API to retrieve custom computed financial data, filtered security sets, and time series expressions from Bloomberg's data ...
BQL in Bloomberg Excel Add-in
Use Bloomberg Query Language directly in Microsoft Excel to execute complex data queries and retrieve computed results in spreadsheet cells. Supports multi-row outputs, time ser...
Pricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Bloomberg Query Language Bql Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Features 6
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
Security Universe Filtering
Filter securities using complex logical and conditional expressions.
Derived Calculations
Compute derived financial metrics and ratios in BQL expressions.
Time Series Expressions
Build time series queries for historical data analysis.
Aggregation Functions
Aggregate data with sum, average, rank, and other functions.
Cross-Asset Data Access
Query Bloomberg data across equities, fixed income, FX, and commodities.
BQL in Excel
Execute BQL queries directly in Excel cells for spreadsheet analysis.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Use Cases 5
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
Quantitative Screening
Screen securities using complex fundamental and technical criteria.
Custom Analytics
Create custom financial metrics not available as standard data fields.
Portfolio Analysis
Analyze portfolio characteristics using flexible BQL expressions.
Backtesting
Access historical data via BQL time series for strategy backtesting.
Risk Reporting
Compute and aggregate risk metrics across portfolios using BQL.
Resources
Every other property we hold for Bloomberg Query Language (BQL) — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
← All providers · Data indexed from github.com/api-evangelist/bloomberg-query-language-bql · machine-readable index on apis.io