Pipeline run
cccade20-681c-4c18-9d5e-3eadd901b01a
Pipeline LLM cost (USD)
API 1: $0.0017
API 2: $0.0000
API 3: $0.0000
Total: $0.0017
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: 2026-05-27T13:55:37.519449Z
Updated: 2026-05-27T13:55:37.519449Z
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
Backend developer, Backend Architect, fullstack developers and reactjs Location... Coimbatore and Chennai only
Library artifacts (this run)
No artifact rows for this run.
nano JD Parser — gpt-4.1-nano click to toggle
JD type
fail
Show raw JSON
{
"JD_type": "fail"
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [],
"jd_role": {
"display_name": "\u2014",
"rationale": "Stage 1 marked JD_type=fail (unparseable); body has only 0 canonical-skill mentions and 0 tech-marker hits \u2014 insufficient evidence",
"role_aliases": [],
"role_archetype": "\u2014",
"slug": ""
},
"nano_parsed": {
"JD_type": "fail"
},
"rejected": true,
"rejection_reason": "Stage 1 marked JD_type=fail (unparseable); body has only 0 canonical-skill mentions and 0 tech-marker hits \u2014 insufficient evidence",
"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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