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CertainLogic QM Timechain

这是YC QM的数据源插件,安装后可让QM智能体访问75K+经HMAC-SHA256加密验证的生产级多轮智能体执行轨迹,支持健康检查、语义搜索、轨迹获取、完整性验证等操作;轨迹涵盖工具调用、代码生成等类型,适用于智能体训练、合规审计、AI研究场景。技能开源免费,需搭配付费API使用。

certainlogicai
certainlogicai
热度 13.76
最近更新 2026-08-01 20:21:12
分类:数据依赖:第三方 API / 内部调用大模型应用场景:数据处理 / audit / 研究 / API 集成

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add certainlogic-qm-timechain
Metadata
name
certainlogic-qm-timechain
version
0.1.0
description
Query the CertainLogic Timechain from any Y Combinator QM deployment. 75K+ cryptographically verified agent execution traces for training, audit, and research. Free open-source skill (API sold separately).
author
CertainLogic <anton@certainlogic.ai>
license
MIT
homepage
https://certainlogic.ai
repository
https://github.com/CertainLogicAI/CertainLogic
tags
["qm","y-combinator-qm","timechain","agent-execution-traces","training-data","cryptographic-verification","agent-audit","provenance","yc-qm","y-combinator","audit","agent-data"]

CertainLogic Timechain — QM Data Source

Query 75K+ cryptographically verified agent execution traces from any Y Combinator QM deployment.

The CertainLogic Timechain is the only production-grade multi-turn agent execution dataset with cryptographic HMAC-SHA256 provenance. Install this skill in QM to give every employee and project access to real agent execution data — not sandbox traces.


Why This Exists

Y Combinator open-sourced QM (July 31, 2026) — a company-wide multi-agent harness for Slack + web. QM gives every employee and project workspace their own AI agent. But agents are only as good as the data they learn from.

This skill plugs the CertainLogic Timechain into any QM deployment as a first-class data source. Your agents can search, retrieve, and verify real production execution traces for training, audit, and research.

Any QM workspace. One install. Instant access to 75K+ real agent execution traces.


Quick Start

# 1. Copy this skill into your QM deployment's skills-seed directory
cp -r skills/certainlogic-qm-timechain your-deploy/skills-seed/

# 2. Add to your QM deployment env:
CERTAINLOGIC_API_KEY=***     # Get yours at anton@certainlogic.ai
CERTAINLOGIC_API_URL=https://certainlogic.ai/api

# 3. From any QM workspace:
#    "Search the timechain for error recovery patterns"
#    "Fetch a verified execution trace with tool calls"
#    "How many coding traces are in the timechain?"

What Your QM Agents Can Do

Agent Command What Happens
"Check timechain health" Verify connectivity to the CertainLogic Timechain API
"Search timechain for [query]" Semantic search across 75K+ execution traces
"Fetch timechain ring [hash]" Get a specific ring and verify its HMAC-SHA256 chain
"Show timechain stats" Corpus size, growth rate, ring type distribution
"Verify chain integrity" Cryptographic proof that no ring has been tampered with

Example: Search for Error Recovery Patterns

Your agent runs:

curl -fsS -X POST \
  -H "X-API-Key: $CERTAINLOGIC_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query":"error recovery in multi-tool code generation","limit":3}' \
  "$CERTAINLOGIC_API_URL/replay"

Each result includes the ring payload, HMAC-SHA256 hash, causal blockspace refs, and a similarity score. Every ring is cryptographically verifiable:

import requests, hashlib, json

# Verify chain integrity
API = "https://certainlogic.ai/api"
HEADERS = {"X-API-Key": "***"}

ring = requests.get(f"{API}/ring/{hash}", headers=HEADERS).json()
prev = requests.get(f"{API}/ring/{ring['metadata']['prev_hash']}", headers=HEADERS).json()

assert prev['metadata']['ring_hash'] == ring['metadata']['prev_hash']
print("Chain verified ✓ — no tampering detected")

Corpus

Ring Type Count What You Get
execution_trace 16,582 Full agent sessions with inputs, outputs, errors
execution_trace_with_tools 2,652 Every tool call captured end-to-end, full metadata
judge_classification 13,526 LLM-as-judge accept/reject decisions with reasoning
tool_chain 12,195 Pure sequential tool call patterns — no filler
coding_specialist 11,395 Code generation traces with compile/run outcomes
pathfinder 7,587 HMAC-signed Pathfinder audit trails
session_pattern 2,996 Recurring query patterns across 19K+ sessions
arc_visual_pattern 8 ARC-AGI visual transformation patterns
Total ~76K Growing daily — new rings sealed every active session

Pricing

The QM skill is free open source (MIT license). The API access behind it is a paid subscription:

Tier What You Get Annual Price
Research 2K sample traces, rate-limited queries, read-only $5K
Startup Full corpus, 100K queries/month, weekly freshness updates $25K
Enterprise Full corpus + all new rings, dedicated rate limit, priority support $100K
Strategic Everything + custom endpoints, exclusive data contributions, SLA $250K+

Free trials available. Email anton@certainlogic.ai for an API key, no commitment required.


Cryptographic Verification

Every timechain ring is HMAC-SHA256 signed and blockspace-linked to its predecessor. To verify:

# Get ring by hash
curl -fsS -H "X-API-Key: ***" "$API/ring/<hash>"

# The ring contains prev_hash — check it matches the previous ring
curl -fsS -H "X-API-Key: ***" "$API/ring/<prev_hash>"

If ring[N].prev_hash == ring[N-1].ring_hash, the chain is unbroken. This is the mechanism that makes timechain data admissible for regulated industries — healthcare, finance, insurance, defense.


Related CertainLogic Products

  • CertainLogic Pathfinder — HMAC-SHA256 audit trails for every agent action (free tier available)
  • Company Brain Core OS — Self-hosted agent knowledge base, 122x faster queries, 60-85% cost reduction
  • Token Reduction Engine — 60-85% cost savings on LLM API calls via deterministic caching
  • Smart Router — Route queries to the cheapest capable model tier automatically

License & Legal

  • Skill code: MIT License — free to use, modify, and distribute
  • API access: Paid subscription required (see pricing table above)
  • API data: Licensed per tier terms, not transferable

Made by CertainLogic — the data infrastructure for deterministic AI. Questions: anton@certainlogic.ai