A
Accurate
research-agent / production

Overview

Where your AI compute is going, and how much Accurate prevented — last 30 days

51%Compute avoided30d
Baseline tokens
20.9K
without Accurate
Consumed
10.2K
with Accurate
Tokens avoided
10.6K
not sent to a model
Actual spend
$0.11
last 30 days
Cost avoided
$0.12
vs. no reuse
LLM calls avoided
10
33 computations

Baseline vs. actual vs. avoided

MetricBaseline / without AccurateActual / with AccurateAvoided
Tokens20.9K10.2K10.6K (51%)
Cost$0.23$0.11$0.12 (52%)

How Accurate thinks

A naive cache sees one changed request and invalidates the whole result. Accurate tracks dependencies through the graph, so only what actually changed — and what depends on it — recomputes.

A naive cache
Request changed
→ CACHE MISS
→ recompute everything
Accurate
Company data, financials, competitors — unchanged → REUSED
News — changed → COMPUTED
Everything downstream of news — affected → COMPUTED
Everything else — untouched → REUSED

This is a real run, not a mockup — run #70fe6d34. Click any node to see why.

company_profileREUSED
Cost$0.00Saved$0.00Latency0msTokens0
Why? →
financialsREUSED
Cost$0.00Saved$0.00Latency0msTokens0
Why? →
competitorsREUSED
Cost$0.00Saved$0.00Latency0msTokens0
Why? →
newsCHANGED
Cost$0.00Saved$0.00Latency0msTokens0
Why? →
overviewREUSED
Cost$0.00Saved$0.01Latency0msTokens0
Why? →
financial_analysisREUSED
Cost$0.00Saved$0.02Latency0msTokens0
Why? →
competitive_analysisREUSED
Cost$0.00Saved$0.01Latency0msTokens0
Why? →
news_analysisCHANGED
Cost$0.01Saved$0.00Latency0msTokens1.3K
Why? →
valuationCHANGED
Cost$0.01Saved$0.00Latency0msTokens705
Why? →
final_reportCHANGED
Cost$0.01Saved$0.00Latency0msTokens816
Why? →