synchronize sources
keep research tools, media pipelines, warehouses, and enterprise apps aligned
ingestsyncrefresh
acquire data
trusted market data,
trusted market data,
agent-ready
consumer, census, economic, media, cultural, competitor, channel, and first-party data, curated into one governed market graph
100s+ data families
24/7 signal intake
1 graph governed context
agent-ready scored + synced
How it works
four controls before AI acts
acquire turns raw evidence into synchronized, secure, agent-ready, quality-scored data
acquire
data control plane
secure sensitive data
control access, consent, suppression, encryption, and audit trails
policyconsentaudit
package for agents
normalize entities, persist lineage, and expose trusted context
entitieslineagecontext
monitor quality
surface drift, schema breaks, quarantine events, and freshness gaps
profilealertrepair
Features
enterprise intake, less sprawl
governed data operations for faster AI-ready decisions
model fast
visual mapping and domain setup
reuse patterns
shared templates for new markets
orchestrate quality
validate, enrich, remediate
sync systems
real-time and scheduled updates
match entities
reduce duplicates and conflicts
control records
canonical truth by confidence
stay agnostic
cloud, on-prem, hybrid
observe drift
alerts for risk and breakage
Curated domains
billions of signals, one graph
demand, sentiment, spend, macro, culture, competitor, and first-party evidence become connected context
market graphlinked domains
consumer
census
economic
media
culture
competitor
1st party
channel
consumer
intent, loyalty, friction
census
local population context
economic
spend and pressure
media
reach and resonance
culture
topics and narratives
competitor
claims and launches
first-party
crm, sales, support
channel
paid, owned, earned
Power of the platform
clean data moves into execution
integrations, workflows, and APIs keep trusted records usable across the enterprise
integrate
bidirectional system sync
operationalize
stewardship and remediation tasks
control
governed API access
guardrail
policy-aware agent context
Owners
built for the teams behind decision quality
one data foundation for marketing, insights, stewards, and agent operators
marketing intelligence
- planning snapshots
- coverage views
- brief inputs
research and insights
- source lineage
- quality diagnostics
- executive traceability
data and agents
- sync controls
- drift alerts
- governed context
Next layer
next: score what matters
analyze turns the governed graph into scored consumer intelligence and activation
FAQ
frequently asked questions
quick answers about the Acquire data layer
what is heptaloop Acquire?
acquire is the platform's data layer. it captures, curates, governs, and synchronizes consumer, census, economic, media, cultural, competitor, channel, and first-party data into one governed market graph that AI agents can act on
what data sources does Acquire bring together?
eight curated domains: consumer, census, economic, media, culture, competitor, first-party (CRM, sales, support), and channel (paid, owned, earned), linked into a single market graph
how does Acquire keep data trustworthy for AI agents?
every record carries lineage, freshness, permissions, and a reliability score before an agent acts. acquire applies four controls: sync sources, secure access, package data for agents, and monitor quality, so outputs stay defensible
how is a governed market graph different from a data warehouse?
a warehouse stores data; the market graph adds governance, consent, entity resolution, lineage, and quality scoring so AI agents inherit trusted context rather than raw tables