BMLL Technologies
BMLL is a London-based provider of harmonised historical Level 3, 2, and 1 order book data and analytics for capital markets, covering global equities, ETFs, futures, and options. Acquired by Nordic Capital in October 2025 (with Optiver as minority shareholder), BMLL sells its data through the BMLL Data Lab hosted Python environment, the BMLL Data Feed file product, and entitlement-gated REST APIs (Reference Data, Time-Series, Market Data, and an async query APIv2) documented publicly via the bmll Python SDK on PyPI, with delivery over API, S3, SFTP, and Snowflake. There is no self-serve signup - access is sales-led with key-pair credentials issued per account.
Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.
API Evangelist profiles BMLL Technologies the way a machine reads it — 6 machine-readable artifacts across 4 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 — BMLL Technologies scores 33.7/100 (thin), with a separate agent-readiness read of 17/100 (agent aware). 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.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile BMLL Technologies
Each block below is one kind of artifact we hold for BMLL Technologies. 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 4
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.
BMLL Reference Data API
Query reference data for the instruments, listings, and markets in the BMLL universe (equities, ETFs, futures, options), including availability by data type (LOB, listing/instru...
BMLL Time-Series API
Daily time-series metrics and analytics derived from BMLL's harmonised Level 3 order book history, including classified trades, queried by instrument, listing, or market. Docume...
BMLL Market Data API
Retrieve per-instrument market state and consolidated best bid and offer (CBBO) for listings on a given day, with an async poll-for-result request pattern. Documented publicly t...
BMLL APIv2 Query API
Asynchronous dataset query API (initiate query, poll, download results as JSONL/Arrow into pandas or polars) over BMLL datasets, including a timeseries query endpoint. An OpenAP...
Security Posture 2
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.
Resources
Every other property we hold for BMLL Technologies — 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
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 4
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
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