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Engineered for the Agentic Era

The Industry Data Layer for Execution Analytics

Standardized Data. Independently Validated Metrics. Informed Conversations. Confident Decisions.

Liquidity provider, platform and market data feeds flow into a standardised data layer that powers analytics, conversational analysis, agent workflows and your own agents via an API / MCP server./ DATA PUBLISHERSBrokers / Liquidity Providers/ STREAMS · FILLSPlatforms/ OMS · EMS · ECNMarket Data/ LSEG · BMLL/ DATA LAYER/ CONSUMPTION LAYERPipelineTenant A01VALIDATED02AGGREGATED03ENRICHED04ONTOLOGY05CONTEXTAPI / MCPAnalytics/ DATA APPS · REPORTINGAsk/ CONVERSATIONAL ANALYSISAgents/ WORKFLOWS · LIVE MONITORS/ BUYSIDE DIRECT ACCESSYour Agents/ MCP · METRICS SERVED

/ 01 · Operating model

One agreement. Every counterparty.

Clear, standardized terms take the friction out of data exchange across the industry.

/ Agreements

Standardized terms

Pre-negotiated for faster onboarding.

/ Sharing

Bilateral by default

Clear rules for every data exchange.

/ Time to value

Live in days

Not months of legal and plumbing.

/ Transparency

Full visibility

See exactly how data is used.

/ 02 · Connections

Connected to the venues you already trade on.

One connection, normalized data from hundreds of counterparties.

/ Platforms · Banks · Brokers · Read in place

  • Bloomberg
  • Refinitiv
  • FXall
  • Currenex
  • 360T
  • LMAX
  • EBS
  • Hotspot
  • CME

/ 03 · Market data

Institutional-grade market data.

Partnered with LSEG and BMLL for accurate benchmarking and analysis.

/ EUR/USD · Mid rate● Live

1.08412 · 24 ticks · LSEG + BMLL

/ 04 · Data layer

From raw fills to a shared source of truth.

  1. 01

    Collect

    Platforms, feeds and internal systems.

  2. 02

    Standardize

    Mapped to one industry schema.

  3. 03

    Enrich

    Derived metrics and market context.

  4. 04

    Store

    Versioned, audited, compliant.

  5. 05

    Distribute

    Secure APIs and streaming.

/ 05 · Tools

Use it the way your team works.

From direct APIs to AI agents, the same governed data underneath.

  • / APIREST and GraphQLSDKs · Docs
  • / NotebooksPython and JupyterExplore · Model
  • / ReportingDashboards and reportsBI · Compliance
  • / MCPModel Context ProtocolLLM ready
  • / AgentsAgent-ready endpointsAutonomous

/ 06 · Security

Governed by design.

Complete control over who sees what, backed by industry-leading certifications.

  • SOC 2 Type II
  • GDPR
  • ISO 27001
  • SSO · SAML · OIDC
  • RBAC
  • Directory sync

/ 07 · Shared workflow

Engineers in Git. Business in the UI.

Every change is versioned, with proposals and diffs available in either view. Contracts enforce quality across every data product.

/ contracts/fills.yaml+ patch · slippage check
 1dataset: 2  columns: 3    - name: fill_price 4      checks: 5        - type: not_null 6    - name: slippage_bps 7      checks: 8        - must_be_less_than: 6

/ 08 · Agent workflows

Agents that act, not just read.

A standardized data layer lets assistants move from insight to action without manual plumbing.

  1. / Input

    Scheduled trigger

    0.0 sec

  2. / Action

    Aggregate and analyze

    18 sec

  3. / Output

    Report delivered

    1.1 sec