reliability
how trustworthy the signal is, weighed against source lineage, corroboration across sources, and a track record of historical accuracy
Methodology
the Heptascore signal-scoring framework
Heptascore is how heptaloop rates every signal for reliability, urgency, and confidence, so teams act on the evidence that matters most instead of the loudest noise in the room
What it measures
three sub-scores, combined into one defensible number
every signal Acquire collects is scored along the same three dimensions before Analyze recommends a next move, so the reasoning behind each decision stays transparent and repeatable
urgency
how quickly the signal demands action before its value decays, so time-sensitive evidence rises above signals that can wait
confidence
how strongly the available evidence supports a recommended next move, so teams know when to act decisively and when to gather more
How it works
scoring runs inside Analyze, on the governed data Acquire collects
Heptascore is not a black box, each score carries the evidence behind it, so analysts and decision scientists can inspect why a signal ranked the way it did
The scoring loop
from raw signal to ranked next move
- acquire captures governed signals with lineage and permissions intact
- each signal is scored for reliability, urgency, and confidence
- the highest-scoring evidence surfaces as a recommended next move
- outcomes feed back so the next score is sharper than the last
Glossary
key terms in the heptaloop methodology
the language the platform uses, defined plainly for teams, partners, and answer engines alike
Heptascore
heptaloop's signal-scoring framework, combining reliability, urgency, and confidence into one score for every signal
Source Reliability Score
a rating of how dependable each data source is before its signals are allowed into the governed market graph
market graph
the governed layer where consumer, market, competitor, and first-party signals are unified, scored, and made ready for AI agents to act on
next-best action
the recommended move that Analyze surfaces from the highest-scoring evidence, always paired with the reasoning behind it
See it in context
Heptascore powers the Analyze layer of the platform
explore how scored signals become coordinated action, or read the research that validates the framework on real market questions
- analyze — score signals into next-best action
- acquire — the governed data Heptascore runs on
- research — proof behind Heptascore and source reliability
FAQ
frequently asked questions
quick answers about the Heptascore framework
what is Heptascore?
Heptascore is heptaloop's signal-scoring framework that rates every signal for reliability, urgency, and confidence so teams act on what matters most
how is Heptascore calculated?
Heptascore combines three sub-scores — reliability, urgency, and confidence — for every signal, weighting trustworthy, time-sensitive, well-supported evidence above noisy or stale inputs
what is the difference between Heptascore and a Source Reliability Score?
a Source Reliability Score rates how dependable a data source is before its signals enter the market graph; Heptascore then scores each individual signal for reliability, urgency, and confidence so teams know which move to make
where is Heptascore used in the platform?
Heptascore runs inside Analyze, scoring the governed signals that Acquire collects so Interact, Share, and Promote act on the evidence that matters most