Pipeline run
1d40917c-fb6e-4446-8f98-b7b003630e89
Pipeline LLM cost (USD)
API 1: $0.0000
API 2: $0.0000
API 3: $0.0000
Total: $0.0000
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
SPARSE JD
Nature of work
—
Tech stack maturity
Mainstream Modern
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.00 / 5
· Title match
· Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
—
Frameworks (×2):
—
Models / concepts (×3):
—
Evidence — skills matched in JD (0)
Skill cluster (0 dimension groups, role-scoped)
Status:
extract_from_jd_done
Created: 2026-05-27T13:45:24.606971Z
Updated: 2026-05-27T13:45:24.606971Z
Flow
Current 3-step pipeline
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
Role
Chosen role & resolution
No chosen role stored for this run.
Job description
Looking for a full-stack JAVA developer. 7+ years of experience. Work from home. USA time zone working hours. 15 days salary schedule. 80000 per month fixed salary. must have good internet speed and windows 10. for further details please call me on 9332-575757. or what's app me on the same
Library artifacts (this run)
No artifact rows for this run.
API 1 — extract-from-jd click to toggle
{
"final_skills": [],
"jd_role": {
"display_name": "Looking for a full-stack JAVA developer.",
"rationale": "JD body too sparse: 44 words, 0 tech-marker hits \u2014 needs more detail (\u003e=80 words or \u003e=2 tech markers) for confident classification",
"role_aliases": [],
"role_archetype": "Other",
"slug": ""
},
"nano_parsed": null,
"rejected": true,
"rejection_reason": "Sparse JD: JD body too sparse: 44 words, 0 tech-marker hits \u2014 needs more detail (\u003e=80 words or \u003e=2 tech markers) for confident classification",
"run_id": null,
"stage3_signals": null,
"stage4_decision": null,
"stage5_updates": null
}
API 2 — extract-details
{}
API 3 — final-role-output
{}
LLM Calls
Every model call made for this run, in pipeline order. Click a card to see the model's response.
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