CAIN-42 MCPGate

AGENTIC AI 75 · CAIN-A75-010

Failure-Driven Improvement Audit

Failure-driven agent improvement

Last reviewed 2026-11-11

Products / Code & Proof / CAIN-A75-010

DELIVERABLE   Assessment   Moat lineage: 2026 #10 · operator stream 9

An engine in this repository produces a bounded artifact from a supplied sample today.

What you buy

A defensible answer for this class of system: Separate the attacker from the improver and keep a held-out suite the improver cannot edit. The run is bounded and the limits are printed with the result.

A bounded engine run on the buyer's sample: findings, a written report, and a SHA-256 artifact manifest. The manifest is unsigned: it is not a signature and not an attestation.

Price and terms (proposal)

List figure$3,500–$7,500 per audit
Indicative band$500–$10,000 success (finding)
Lead time5 business days after a signed SOW and sample intake
BuyerAgent-platform teams and evaluation vendors

The list figure comes from the individual offer; the band is the line default. Neither is an invoice. Scope is fixed in a one-page SOW before work starts.

Scope

One repository or one bounded patch set; up to five findings; written verdict per finding.

Inputs we need

What you receive

Explicit exclusions

Engine and evidence

This SKU is engine-backed: failure_fix in cain_a75_engines/failurefix/engine.py. The operator runs it on your sample with python3 -m cain_agentic_products.cli deliver CAIN-A75-010 --out DIR.

The 2026 development and the CAIN-42 mapping · Check the mechanism · Fire a live governed decision · Public evidence

Next step

Request a scoped quote or a paid pilot: book a 20-minute scoping call. Bring one sample and the decision you need to defend. If the sample is not a fit, we will say so before you pay.

What this offer is not. No customer, partnership, endorsement, certification, patent or third-party audit is claimed. Prices are proposals, not validated rates. DELIVERABLE means a bounded engine run on a sample, not an assessment of a production system. Built by a three-person team.

← CAIN-A75-009 Autonomous R&D Change ReviewCAIN-A75-011 Formal Artifact Review →