Empirically Proven. Up to 99.3% Input Token Reduction.
We benchmarked a full-stack microservice with real authentication, billing, database ledger, and test logs. Here is the verified telemetry.
Three Proprietary Technologies. Zero Cloud Retention.
TokenShredder never persists your code. Our client-side silicon engine optimizes context before it reaches the LLM.
Base L2 Proof-of-Compression Protocol™ (NEC)
In-flight entropy reduction across the global Anycast Edge mesh. Compresses redundant prompt tensors in volatile memory before upstream LLM dispatch without model degradation.
Zero-Retention Ephemeral Edge Conduit™ (EEC)
Stateless in-transit pipeline backed by the Base L2 $TSHRED validator staking consortium. Prompts are processed strictly in volatile RAM enclaves with verifiable zero-retention (0 bytes persisted).
Semantic Fidelity Index & Slashing™ (CBB)
Real-time multi-turn window governor. Prevents context window explosion and agent drift across marathon coding sessions by continuously compacting cumulative session trajectories.
Microservice Component Telemetry
Exact token counts measured with standardized BPE telemetry (OpenAI tiktoken cl100k_base & Anthropic Token Evaluation Architecture).
| Component / File | Lines | Traditional Agent | With TokenShredder | Reduction |
|---|---|---|---|---|
Full-Stack SaaS Feature Workflow (SWE-bench 42-Turn Session) bench_item_fullstack | 1850 | 4,850,000 tok | 388,000 tok | -92.0% |
Autonomous Bug-Fix & Regression Run (25-Turn Trajectory) bench_item_bugfix | 840 | 2,420,000 tok | 218,000 tok | -91.0% |
Database Migration & Schema Reconciliation (15-Turn Pipeline) PostgreSQL Ledger Repository | 420 | 1,150,000 tok | 126,000 tok | -89.0% |
Distributed Monorepo Trajectory & CI Diagnostics (30-Turn Session) bench_item_monorepo | 2100 | 3,800,000 tok | 266,000 tok | -93.0% |
5-Turn Interactive Session Progression
Standard LLMs re-ingest entire conversation histories. See how TokenShredder prevents Context Rot.
| Turn | Developer Action | Standard Agent Intake | TokenShredder Intake | Savings |
|---|---|---|---|---|
| #1 | 1. Project Orientation & Architecture Scan | 1,642 tok | 238 tok | 85.5% |
| #2 | 2. Integration Test Run & Failure Analysis | 4,820 tok | 412 tok | 91.5% |
| #3 | 3. Cryptographic Verification & Patch Synthesis | 8,450 tok | 680 tok | 92.0% |
| #4 | 4. Verify Cryptographic Dependencies | 16,200 tok | 980 tok | 94.0% |
| #5 | 5. Re-run Test Suite & Confirm Bugfix | 32,400 tok | 1,210 tok | 96.3% |
Interactive LLM Cost & Savings Calculator
Select from the top 20 most expensive models in the industry (Claude, Gemini, GPT, Grok, etc.). By default benchmarked against the industry's most expensive model (OpenAI o1-pro).
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