RECON · v1.0 · LIVE

Every signal.
Every domain.
One trusted map.

FabricRecon scans your Microsoft Fabric estate as living terrain. Probes sweep each domain, anomalies rise as signal pillars, and agent pools reconcile drift — so your team acts on a single, explainable topography of the data they own.

32
probes shipped
5
specialist agents
4
data domains
1
unified data map

The intelligence stack

Reconnaissance, reconciliation, and synthesis — built natively for Fabric.

Four cooperating capabilities turn a sprawling data estate into a single, trusted topography. Each one is observable, scriptable, and lives entirely inside your tenant.

CAP-01

Domain Scanner

Inventories workspaces, lakehouses, warehouses, semantic models, and owners across your tenant.

  • Live Fabric API
  • Lineage hints
  • Quality signals
CAP-02

Probe Runner

Dispatches targeted profiling, freshness, duplicate, and overlap probes against each domain.

  • 32 default probes
  • Custom playbooks
  • Retry + replay
CAP-03

Agent Pool

Specialist AI agents compare records, score matches, and log evidence for every reconciliation call.

  • GPT-4o reasoning
  • Confidence scores
  • Audit trail
CAP-04

Synthesis

Composes probe output + agent decisions into a unified, explainable data map with next-best actions.

  • Navigable map
  • Open findings queue
  • Briefing digest

The daily briefing

A morning standup written by the agents that worked overnight.

FabricRecon publishes a ranked briefing every morning — composite scores, narrative explanations, and the exact probes and agents that produced each finding. Open the top item, agree with the recommendation, and move on.

  • Composite score across freshness, drift, duplicates, and impact
  • Narrative built from probe evidence — not a wall of metrics
  • One-click Acknowledge, Investigate, or Dismiss.
Open today's briefing

Inside the workload

Three native items. One operating model.

FabricRecon ships as Fabric workload items you can govern, schedule, and audit alongside every other notebook, pipeline, and warehouse in your tenant.

01

Recon Job

Scan the estate. Surface the signal.

Runs domain reconnaissance jobs that inventory Fabric assets, detect schema and lineage hints, profile quality signals, and queue follow-up probes for suspicious gaps or overlap.

4 domains · 32 probes

recon-job.recon
FabricRecon catalog showing discovered domains, probe status, and reconciliation readiness
02

Setup Job

Configure reconnaissance once. Operate continuously.

Connect live API endpoints, define domains, register probe playbooks, set confidence thresholds, and configure agent pools for your tenant-native Fabric deployment.

5-step wizard · 3 minute install

setup-job.recon
FabricRecon setup job with domain configuration and probe playbook settings
03

Synthesis

Turn findings into a unified map.

Combines scan output, probe evidence, and agent decisions into an explainable data map that shows trusted matches, unresolved conflicts, and next-best actions.

Composite scores · evidence trails

synthesis.recon
FabricRecon synthesis view with unified data map, confidence scores, and open reconciliation findings

2:30 product tour

Watch FabricRecon discover, probe, and reconcile — in real time.

A narrated walk-through of the daily briefing, finding detail, probe bank, agent pool, run history, and setup wizard. Every screen is the actual product running against rich demo data.

FabricRecon · product tour REC

The recon loop

From estate scan to trusted map — in a continuous loop.

FabricRecon doesn't run once. Every probe outcome feeds the next scan, every reconciliation tunes the next agent, and every briefing builds on the last.

  1. 01

    Scan

    Domain Scanner sweeps workspaces, lakehouses, warehouses, and semantic models. Schema, lineage, ownership, and freshness signals flow into the recon graph.

  2. 02

    Probe

    The Probe Runner dispatches focused tests — duplicates, overlaps, keys, drift, semantic similarity — against every domain that warrants a closer look.

  3. 03

    Reconcile

    Specialist AI agents inspect probe output, score candidate matches, resolve conflicts at confidence, and log evidence for everything they touch.

  4. 04

    Synthesise

    Findings collapse into a single navigable data map with composite scores, narrative explanations, and recommended next probes.

Built on Microsoft Fabric

Tenant-native. Agent-powered. Operator-grade.

TENANT

Runs in your tenant

FabricRecon is a sideloaded Fabric workload — capacity, identity, networking, and governance are yours. No data leaves your boundary.

AGENTS

AI Foundry · GPT-4o

Specialist agents reason against probe evidence using Azure AI Foundry. Every decision is logged with prompts and reasoning chain.

FABRIC

Native item model

Recon Job, Setup Job, and Synthesis are first-class Fabric items — schedule them, share them, govern them with the same model as every other asset.

API

Live API endpoints

Probes connect to real Fabric REST and Onelake endpoints. Mock mode is available, but production points at your actual capacity.

FAQ

Questions we get every week.

What is FabricRecon?

FabricRecon is a native Microsoft Fabric workload for AI-powered reconnaissance and reconciliation across data estates. It discovers domains, runs probes, coordinates agent pools, and synthesises findings into a unified data map.

Does FabricRecon move my data out of Fabric?

No. FabricRecon is a sideloaded workload that operates against your Fabric tenant and live API endpoints. Identity, capacity, and governance stay yours.

How do agent pools actually work?

Each pool dispatches a specialist agent (drift, duplicate, freshness, lineage, reconcile) against probe evidence. Agents score candidate matches, resolve at high confidence, and queue everything else for human review with a full evidence trail.

Can I define my own probes?

Yes. Probe playbooks let teams target freshness, schema drift, duplicate keys, semantic overlap, lineage clues, and any reconciliation check specific to their domains.

What does the briefing actually contain?

A composite-scored, ranked list of findings with a one-paragraph narrative for each: what changed, what it impacts, which probes detected it, which agents acted, and the recommended next action.

Who builds FabricRecon?

FabricRecon is built by Datachain Consulting Pty Ltd — a Sydney-based data engineering consultancy specialising in Microsoft Fabric and enterprise data platforms.

Ready when you are

Bring FabricRecon into your tenant.

The workload sideloads in minutes. The first briefing lands the morning after your first scan.

v1.0 live in production Datachain Consulting · Sydney Built on Microsoft Fabric