average token reduction on live external data
Tested against 6 real competitor and regulatory sources — fetched live, not cached. Every key fact retained. Measured, not modeled.
Six live pages. No synthetic fixtures.
Every source was fetched from its live URL at benchmark time. Required facts were verified using a 75% term-overlap threshold against the compressed output.
| Source | Topic | Reduction | Facts |
|---|---|---|---|
| Straiker · PR Newswire | Agentic-first AI security — Ascend AI + Defend AI, 8x growth, 98% detection accuracy | ~65% | ✓ All retained |
| HiddenLayer · PR Newswire | Agentic runtime security — prompt injection, malicious tool calls, data exfiltration | ~65% | ✓ All retained |
| Holistic AI · Blog | Guardian Agents — supervisory systems, execution-level observability, human-on-the-loop | ~65% | ✓ All retained |
| Raconteur | EU AI Act technical audit — API inventory, logging, August 2026 enforcement deadline | ~65% | ✓ All retained |
| The Hacker News | Gartner Market Guide for Guardian Agents — enterprise deployment, fast adoption vs governance gap | ~65% | ✓ All retained |
| AI Standards Hub | prEN 18229-1 — AI trustworthiness framework, logging, transparency, human oversight | ~65% | ✓ All retained |
| Average across all sources | 65.4% | 100% | |
Deterministic. Reproducible. Auditable.
No ML model selects what to keep. The compression is algorithmic and deterministic — the same input always produces the same output.
Algorithm: deterministic_select() — term-overlap sentence selector
Target ratio: target_ratio=0.35 — select the minimum sentences needed to cover key terms at 35% of original length
Fact verification: Each required fact is tested with a 75% term-overlap threshold against the compressed output
Data source: Live HTTP fetch of public URLs at benchmark time — no cached or pre-processed data
Benchmark script: benchmarks/context_efficiency/bench_valo_context.py on nsolland/index
Same intelligence.
35 cents on the dollar.
VΛLΦ agents process the same external intelligence at 35% of the token cost — measured against live competitor and regulatory sources, not synthetic test data. The compression is deterministic and auditable. The fact retention is verified.
See the full benchmark
Njål Gaute Solland · Valo Research Group
Founder & architect of VΛLΦ