Pipeline run
162ac8fc-e7cc-49d2-b416-3978de90a054
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: 2026-05-27T17:15:55.388857Z
Updated: 2026-05-27T17:15:55.388857Z
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
------------------- iOS Developer : ------------------- Exp: 2 to 4 Years || Salary: No bar for the right ........................................................ Why Innopad Solutions LLP: Ø Excellent base salary Ø Flexible working hours Ø 5 Days working Ø Friendly Environment Ø Work-life balance Ø Training & Development Ø International Client exposure • Interview Process: 1. HR Round (Telephonic) 2. Technical (Google Meet / Skype) 3. Practical Round 4. Final round -Face to Face #Notice Period: Immediate join to 15 days @ Innopad Solutions LLP : Science-City road, Sola, Ahmedabad:~ ** The interview process will be virtual. *** Kindly revert with your updated CV and also share your current CTC, expected CTC & notice period for the opening.
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
{}