Sphere Integration

Sphere Data Integration — Mortgage Pipeline Analytics

Connect Sphere in 5 minutes. Your AI agent reads mortgage transactions, contact rankings, and commission reports — then correlates pipeline data with cross-channel insights from 1,000+ sources.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to Sphere
Show me all A-ranked contacts with closed transactions this month and their total commission.
Total commission: $487,320 from 23 A-ranked contacts across 31 closed deals. Top performer: Sarah Chen ($94,200, 6 deals). Average deal size: $15,720.
Tag these contacts for the VIP referral program and send handwritten thank-you cards.
Done — 23 contacts tagged VIP Referral Q2 and queued for handwritten cards. Cards will mail within 2 business days.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
Sphere Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

What your AI agent extracts from Sphere

Your agent pulls contacts with A/B/C rankings, labels, and interaction histories; transactions with statuses (Pending, Closed, Got Away), contract details, and parties involved; and reports including expense summaries, referral sources, gross sales volume, and gross commission. All data syncs in real-time from Sphere's mortgage-specific CRM and loan origination system.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the Sphere API
15-minute refresh cycles Near real-time sync with 99.9% SLA uptime. No stale dashboards.
Cross-channel normalization Marketing CDM unifies your data with 1,000+ sources into one schema. No manual mapping.
Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio
AI Agent access via MCP Query, write, and monitor Sphere through Claude, ChatGPT, Cursor, or any MCP client
Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.
OAuth setup in under 5 minutes No API keys, no code, no developer setup. Schema changes handled automatically.
Zero ongoing maintenance Pagination, rate limits, API versioning — all managed. Your team focuses on analysis.
Integration Details

Complete Mortgage Pipeline Coverage

Improvado pulls contacts with A/B/C rankings, labels, and interaction histories; transactions with statuses, contract details, and parties; and reports including expense summaries, referral sources, gross sales volume, and gross commission from Sphere. All data syncs in real-time from the mortgage-specific CRM and loan origination system.

Sphere Open API · Secure credentials · 15-min sync · real-time transaction updates
Schema Overview

Data objects and fields Improvado extracts from Sphere

Object Fields
Contacts
rank client_type labels interaction_notes email phone csv_import_date
Transactions
status contract_details parties address referral_source gross_sales_volume gross_commission timeline_updates
Reports
expense date_range referrals monthly_summary annual_summary commission
Interactions
type timestamp email_subject call_duration text_content
How it works

From connection to autonomous action in three steps

1

Connect

Connect: Authenticate via Sphere's open API using secure credentials. Setup completes in 15 minutes with automatic backfill of contacts, transactions, and reports.

2

Ask

Query: Ask "Which B-ranked contacts closed UWM deals last month?" — your agent surfaces contact names, deal values, commission, and interaction timelines in seconds.

3

Act

Act: Your agent updates contact rankings, applies campaign tags, changes pipeline statuses, and triggers email sequences. Every write logs to your audit trail with full attribution.

Use Cases

What teams ask their AI agent about Sphere

Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.

See how teams use Improvado →
A
Improvado Agent Analysis

Show me all A-ranked Active Seller contacts with interactions in the last 30 days and their associated transaction values

Your AI agent analyzes Sphere data and delivers actionable insights — automatically, in seconds.

4 hrs → 15 min
A
Improvado Agent Cross-channel

Compare gross commission from UWM transactions versus other lenders this quarter across all closed deals

Your AI agent analyzes Sphere data and delivers actionable insights — automatically, in seconds.

Manual → auto
A
Improvado Agent Reporting

Update all B-ranked contacts who closed transactions this month to A-rank and tag them for the Q2 referral campaign

Your AI agent analyzes Sphere data and delivers actionable insights — automatically, in seconds.

5 hrs → 20 min
AI Agent Access

Your agent doesn't just read Sphere — it optimizes it.

Read

Read: Contacts with A/B/C rankings, labels, and interaction histories; transactions with statuses, contract details, referral sources, and timeline updates; reports with expense summaries, gross sales volume, and gross commission.

Write

Write: Update contact rankings and labels, change transaction pipeline statuses, apply bulk tags for campaigns, trigger email sequences, and queue handwritten cards for multiple clients.

Monitor

Monitor: Real-time transaction timeline updates, UWM integration pushes, email/Outlook interaction logs, and NetSuite invoice syncs. Alerts fire when deals change status or high-value contacts engage.

Claude, ChatGPT, and Cursor write back to Sphere via Improvado's MCP integration: bulk-update contact rankings, apply labels and tags for campaigns, change pipeline statuses, and trigger email sequences — all from natural language. Every action logs to your audit trail with timestamps and user attribution.

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · Sphere
You
Show me all A-ranked Active Seller contacts with interactions in the last 30 days and their transaction values
A
Top Active Seller Contacts
Contact Last Interaction Transaction Value
Jennifer Martinez 3 days ago $485,000
Robert Chen 5 days ago $625,000
Sarah Thompson 8 days ago $392,500
Michael Rodriguez 12 days ago $558,000
Emily Patterson 14 days ago $710,000
5 contacts · $2.77M total volume · avg $554K per transaction
You
Schedule follow-up calls for contacts with interactions older than 10 days and send personalized rate update emails
A
Outreach campaign scheduled
2 calls scheduled · 2 rate emails queued for Rodriguez & Patterson
Destinations

Send Sphere data anywhere

Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.

SOC
SOC 2 Type II Audited data management
H
HIPAA Healthcare compliance
EU
GDPR EU data protection
CA
CCPA California privacy
Compare

They extract data. Improvado deploys an agent.

Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with Sphere as one of 1,000+ integrated sources.

Feature Improvado Supermetrics Funnel.io Fivetran
Data fields extracted 200+ ~90 ~120 ~80
Total integrations 1,000+ ~150 ~500 ~300
Cross-channel normalization (CDM) ✓ Built-in ✗ Manual ● Basic mapping ✗ Raw only
AI Agent access (MCP) ✓ Read, Write, Monitor
Data warehouse destinations ✓ 16+ warehouses & BI tools Sheets, Looker, BigQuery BigQuery, Snowflake, Redshift ✓ Broad warehouse support
Refresh frequency Every 15 min Scheduled triggers Daily / 6hr Every 15 min (premium)
SOC 2 Type II & HIPAA ✗ SOC 2 only ✓ SOC 2
Best for Teams that want an AI agent, not a pipeline Small teams, spreadsheets Mid-market, data teams Engineering-led ELT pipelines

Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.

FAQ

Frequently asked questions

How does Improvado connect to Sphere?
Improvado connects to Sphere via its open API for custom integration. Setup takes approximately 15 minutes and uses secure authentication credentials stored in Improvado's encrypted vault. The connector supports historical backfill of contacts, transactions, and reports, with real-time syncing enabled immediately after connection for timeline updates and UWM integration data.
What Sphere data does Improvado pull?
Improvado extracts contacts with rank (A/B/C), client type, labels, and interaction notes (emails, texts, calls with timestamps); transactions with statuses, contract details, parties, addresses, referral sources, and timeline updates; and reports including expense summaries, monthly/annual metrics, gross sales volume, and gross commission. Data refreshes in real-time for transaction updates and interactions, with batch syncs every 15 minutes for reports and contact lists.
How often does Sphere data refresh?
Sphere data syncs in real-time for transaction timeline updates, UWM integration pushes, and email/Outlook interaction logs. Contact lists, reports, and pipeline summaries refresh every 15 minutes via incremental sync to capture bulk changes and CSV imports. You can trigger manual refreshes anytime from the Improvado dashboard, and enterprise plans include custom sync intervals with sub-5-minute SLAs.
Can the AI agent write data back to Sphere?
Yes. Your AI agent can update contact rankings and labels, change transaction pipeline statuses, apply bulk tags for campaigns, and trigger email sequences via Sphere's open API. Every write action is logged in Improvado's audit trail with user, timestamp, and change details. Role-based permissions let you control which agents can read versus write, ensuring governance across your mortgage operations.
Is Sphere data secure with Improvado?
Improvado is SOC 2 Type II certified, HIPAA-compliant, and GDPR-ready. All Sphere credentials are stored in an encrypted vault and never exposed to AI agents. Data in transit uses TLS 1.2+ encryption, and data at rest is encrypted with AES-256. Access logs, IP allowlisting, and SSO integration provide enterprise-grade security for sensitive mortgage and client data.
How does Sphere connect with other platforms in Improvado?
Improvado maps Sphere contacts, transactions, and commissions to its Common Data Model, unifying them with 1,000+ marketing, sales, and finance sources. Compare Sphere gross commission against ad spend from Google Ads, correlate A-ranked contacts with email engagement from Mailchimp, or analyze referral sources alongside CRM pipeline data from Salesforce. All data joins on shared dimensions like contact ID, date, and campaign tags.