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.

BMLL Technologies is listed with 4 APIs on the APIs.io network. Tagged areas include Finance, Market Data, Order Book, Stocks, and Trading.

BMLL Technologies’ developer surface includes developer portal, documentation, engineering blog, support, authentication, changelog, CLI, and 14 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

29.1/100 thin ▬ flat Agent 3/100 human only Front door AI 2/6 trace Heartbeat 20/100 dormant saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

4 APIs

Finance Market Data Order Book Stocks Trading Reference Data Historical Data Analytics ETFs Futures Options

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 29.1/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 8.9 / 17

Access Clarity 4.9 / 17

Operational Transparency 2.0 / 11

Contract Governance 1.9 / 10

Discoverability 6.1 / 9

Regulatory Posture 4.2 / 15

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Securities & Market Data regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

11 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Access Clarity scores 28.9 — up to +14.2 composite points
Operational Transparency scores 18.4 — up to +10.6 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/bmll-technologies/apis.yml: open an issue on github.com/api-evangelist/bmll-technologies to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Data Marketplaces (data providers on cloud data platforms)	distribution	28.8	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

APIs 4

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.

Bmll Technologies Authentication

key-pair-jwt/bearer/apiKey · 3 schemes

SECURITY

Bmll Technologies Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Portal

Portal

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Conventions

ErrorCatalog

Conformance

Lifecycle

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 3

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Compliance

Compliance

Authentication

Authentication

Operate 2

Status, limits, changes, and where to get help

Support

Support

ChangeLog

ChangeLog

Commercial 2

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 3

The organization behind the API

Website

Website

LinkedIn

Blog

Blog

Source (apis.yml)

aid: bmll-technologies
url: https://raw.githubusercontent.com/api-evangelist/bmll-technologies/refs/heads/main/apis.yml
name: BMLL Technologies
kind: company
description: 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.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/bmll-technologies.png
tags:
- Finance
- Market Data
- Order Book
- Stocks
- Trading
- Reference Data
- Historical Data
- Analytics
- ETFs
- Futures
- Options
tags_raw:
- Financial
- Market Data
- Order Book
- Stocks
- Trading
- Reference Data
- Historical Data
- Analytics
- ETF
- Futures
- Options
created: '2026-07-21'
modified: '2026-07-22'
specificationVersion: '0.23'
apis:
- aid: bmll-technologies:bmll-reference-data-api
  name: BMLL Reference Data API
  tags:
  - Reference Data
  - Instruments
  - Markets
  - Listings
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://pypi.org/project/bmll/
  baseURL: https://reference.data.bmlltech.com
  properties:
  - url: https://pypi.org/project/bmll/
    type: Documentation
  - url: https://data.bmlltech.com
    type: Portal
  description: Query reference data for the instruments, listings, and markets in the BMLL universe (equities, ETFs, futures,
    options), including availability by data type (LOB, listing/instrument/market-level metrics, DataFeed) and ETF constituent
    data. Documented publicly through the bmll Python SDK (ReferenceDataClient); the host is live but requires entitled key-pair
    credentials (probed 403 without auth).
- aid: bmll-technologies:bmll-time-series-api
  name: BMLL Time-Series API
  tags:
  - Time Series
  - Analytics
  - Order Book
  - Metrics
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://pypi.org/project/bmll/
  baseURL: https://time-series.data.bmlltech.com
  properties:
  - url: https://pypi.org/project/bmll/
    type: Documentation
  - url: https://data.bmlltech.com
    type: Portal
  description: 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. Documented publicly through the bmll Python SDK (TimeSeriesClient);
    the host is live but requires entitled key-pair credentials (probed 403 without auth).
- aid: bmll-technologies:bmll-market-data-api
  name: BMLL Market Data API
  tags:
  - Market Data
  - Market State
  - CBBO
  - Quotes
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://pypi.org/project/bmll/
  baseURL: https://market-data.data.bmlltech.com
  properties:
  - url: https://pypi.org/project/bmll/
    type: Documentation
  - url: https://data.bmlltech.com
    type: Portal
  description: 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 through the bmll Python SDK (MarketDataClient); the
    host is live but requires entitled key-pair credentials (probed 403 without auth).
- aid: bmll-technologies:bmll-api-v2
  name: BMLL APIv2 Query API
  tags:
  - Datasets
  - Query
  - Async
  - Historical Data
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://pypi.org/project/bmll/
  baseURL: https://api.data.bmlltech.com
  properties:
  - url: https://pypi.org/project/bmll/
    type: Documentation
  - url: https://data.bmlltech.com
    type: Portal
  description: 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 OpenAPI definition exists at https://api.data.bmlltech.com/openapi.json
    but it returned HTTP 401 Unauthorized when probed, so it could not be harvested. Documented publicly through the bmll
    Python SDK (ApiV2Client).
common:
- type: DomainSecurity
  url: security/bmll-technologies-domain-security.yml
- type: Website
  url: https://bmlltech.com/
- type: Portal
  url: https://data.bmlltech.com
- type: Documentation
  url: https://www.bmlltech.com/products/bmll-data-feed/documentation
- type: GitHubOrganization
  url: https://github.com/bmlltech
- type: LinkedIn
  url: https://www.linkedin.com/company/bmll
- type: Blog
  url: https://www.bmlltech.com/knowledge-hub
- type: Support
  url: https://support.bmlltech.com/
- type: PrivacyPolicy
  url: https://www.bmlltech.com/support-pages/privacy
- type: TermsOfService
  url: https://www.bmlltech.com/support-pages/terms
- type: Compliance
  url: https://www.bmlltech.com/news/our-news/bmll-awarded-iso-27001-certification
- type: Packages
  url: packages/bmll-technologies-packages.yml
- type: SDKs
  url: packages/bmll-technologies-packages.yml
- type: Authentication
  url: authentication/bmll-technologies-authentication.yml
- type: Conventions
  url: conventions/bmll-technologies-conventions.yml
- type: ErrorCatalog
  url: errors/bmll-technologies-problem-types.yml
- type: Conformance
  url: conformance/bmll-technologies-conformance.yml
- type: ChangeLog
  url: changelog/bmll-technologies-changelog.yml
- type: CLI
  url: cli/bmll-technologies-cli.yml
- type: Lifecycle
  url: lifecycle/bmll-technologies-lifecycle.yml
- type: LLMsTxt
  url: llms/bmll-technologies-llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

BMLL Technologies API — frequently asked questions

Does BMLL Technologies have an API?

Yes. APIs.io lists 4 APIs from BMLL Technologies, including BMLL Reference Data API, BMLL Time-Series API and BMLL Market Data API, and 1 more.

How do I authenticate with the BMLL Technologies API?

BMLL Technologies uses bearer-token authentication (key-pair-jwt/bearer/apiKey · 3 schemes). The details are profiled on APIs.io as Bmll Technologies Authentication.

Is the BMLL Technologies API ready for AI agents?

BMLL Technologies has a Kin Score of 29.1 out of 100 (thin) and an Agent Readiness score of 3.2 (human-only), scored by API Evangelist on 2026-11-06.

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