Skip to content
SQA Cockpit
← All runslive api
The contract
Snappy’s promise: crawl and structure the web into a reliable, high-quality corpus — complete, fresh, and on-target for what was asked.
The claim SQA tests: The jobs the metaintro-chat search engine returned, in the chat thread, are relevant to what the user asked for. (claim C0).
This run tested the system against its contract, clause by clause. A single run can only witness some clauses; the rest stay UNKNOWN — never a faked pass.
1 pass · 0 fail · 7 unknown
  • C0 MUST
    Headline promise
    relevancy score = 73/100 (pass-band ≥ 60)
    PASS
  • C1 MUST
    User can sign in
    no 'login' step in this run
    UNKNOWN
  • C2 MUST
    User can open a new thread
    no 'open-thread' step in this run
    UNKNOWN
  • C3 SHOULD
    Onboarding gate completes
    no 'onboarding' step in this run
    UNKNOWN
  • C4 SHOULD
    Filters from onboarding don't bias the query
    no 'clear-filters' step in this run
    UNKNOWN
  • C5 MUST
    User-typed query is what the engine sees
    no 'submit-query' step in this run
    UNKNOWN
  • C10 SHOULD
    Score holds across reruns
    needs a sweep — a single run cannot witness this clause — needs a sweep
    UNKNOWN
  • C12 MAY
    Run completes within budget
    needs a sweep — a single run cannot witness this clause — needs a sweep
    UNKNOWN
TL;DR · 30-second primer
  • ·Snappy (SUT) ran 1 run on profile corpus-f500.
  • ·Result: Corpus Quality Index 73/100. Strong— see “Why this verdict” (each gap maps to a claim in the Contract).

1 ·THE VERDICT

the answer in one number
30-day CQI history
SNAPPY · DOMAIN ACTIVATION · RUN #8

Strong.

Run #8 of snappy on profile corpus-f500 for the query "CQI sweep — domain-activation". Corpus Quality Index 73/100.

Verdict WARN: C5 Freshness-checker cron stalled — 12% of corpus returned snapshots >30d old.

AI synthesis · openai/gpt-4o-mini

The system succeeded but with a degradation, achieving a Corpus Quality Index (CQI) score of 73 out of 100. The primary issue was a stall in the freshness-checker cron, which resulted in 12% of the corpus returning snapshots older than 30 days. Overall, the domain-activation process ran effectively, but the freshness of the data was compromised.

2 ·WHY THIS VERDICT

ranked by severity
HARD

Freshness-checker cron stalled — 12% of corpus returned snapshots >30d old

Expected
<3% of corpus older than 30 days at activation time
Observed
609 of 5,000 orgs served snapshots aged 31–47 days; freshness-checker had not advanced its cursor in ~26h
Why it matters
Customers querying the registry get stale headcount, funding, and career-page data — the corpus silently degrades while CQI on individual orgs still reads GREEN.
Recommended action· 1 sprint
Restart freshness-checker workflow; add a watchdog alert on cursor-staleness > 4h.
✓ verifiedjudge: freshness-checker + snapshot-age

3 ·THE STORY

what went in, what came out

Input

what the probe sent in
Query
Skills
(no skill inferred)
ESCO —
Industry
Computer Systems Design
NAICS 541512
Location
United States
ISO US
Education
Bachelor or equivalent
ISCED ISCED 6

5 ·SESSION RECORDING

watch what the probe saw

Session recording

watch what the probe actually saw
No recording available for Metaintro.

6 ·RUN MECHANICS

provenance & reproducibility
Duration
3m 25.4s
Steps
2
Judges
—
Commit
demo-seed
Started
2026-05-12 13:00 UTC
Trace

Evidence by step

every artifact, link, excerpt, row, metric & recording — grouped by the step that produced it

No evidence recorded for this run.

Evidence integrity

each artifact is SHA-256 hashed at capture — proof it is unmodified

No integrity manifest recorded for this run.

7 ·SYSTEM ANATOMY

which component drove the verdict

Verdict driven by Unattributed. The ringed, pulsing nodes are the components SQA attributes the failure to.

Press ⌘K to search