What is coprolite-bind?
coprolite-bind is a AI tool that Ingests full block history, segments it into 100k-block windows, compresses each using zstd with block-state delta encoding, and publishes a sparse index of state mutations grouped by address and stor. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x973793f87fe5df921a40b71ff82b229bb276c776. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What coprolite-bind Does
coprolite-bind is a agent in the AI tool category. Ingests full block history, segments it into 100k-block windows, compresses each using zstd with block-state delta encoding, and publishes a sparse index of state mutations grouped by address and storage slot. Query latency for a historical balance lookup is <50ms; it will not compress a window unti. It is published by 0x973793f87fe5df921a40b71ff82b229bb276c776 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use coprolite-bind
coprolite-bind is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0x973793f87fe5df921a40b71ff82b229bb276c776 |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=coprolite-bind
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
| Fetch | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.