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jev-filter
x402
jev-filter is a paid API for AI agents from x402-production-0f93.up.railway.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-30).
Filters or scores a batch of records against user-supplied yes/no criteria using LLM-based typed decisions, with three modes: all, any, or weighted score.
Price / call$0.01
Success—
StatusUnknown
How this service works
Filter up to 25 records against up to 10 yes/no criteria you supply. Each record comes back with keep / review / drop, a reason naming the criterion it failed, a 0-10 score and the per-criterion probabilities. Never drops a record it could not read or could not judge: those come back as review or keep, flagged. Built on a decision model rather than a chat model, so it is a flat per-call price with no token accounting on your side.
Output
A JSON object containing a meta block (item count, elapsed time, model cost) and a results array where each record gets a verdict (keep/drop/review), a 0–10 score, a reason string naming the failing criterion (e.g. failed_makes_things), a human-readable rationale, and a confidence level (high/medium/low).
Example use cases
ICP lead scoring for sales pipeline
“Score these 20 inbound leads against my ideal customer profile: they must be a B2B SaaS company with more than 50 employees and based in North America. Use score mode with a threshold of 6 and drop anything below 3.”
Applicant screening against job criteria
“Filter these 15 job applicant records and keep only those where the candidate has at least 5 years of experience AND has a background in machine learning. Use all-criteria mode with a confidence threshold of 0.6.”
E-commerce product catalog filtering
“I have 25 product records and I want to keep only the ones that are in stock AND have a customer rating above 4 stars. Run them through in 'all' mode and tell me which ones fail and why.”
Technical details
Endpoint
POSThttps://x402-production-0f93.up.railway.app/v1/filter?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need transparent, attributable, per-criterion filtering of structured records at low cost ($0.01/call for up to 25 records). It is ideal when you want to know exactly which criterion caused a record to be dropped (via failed_<key> reasons), need a review tier for borderline records, or want weighted ICP scoring rather than binary pass/fail. Prefer it over bespoke LLM prompts when you need structured, consistent verdicts across a batch with deterministic schema output.
Side effects
- Record exceeds 4000 character limit — record rejected or truncated
- More than 25 records submitted — request rejected with validation error
- More than 10 criteria supplied — request rejected
- Criterion question is too vague or subjective — low-confidence verdicts returned
- Invalid criterion key format (not snake_case) — schema validation error
- Payment not completed via x402 — 402 Payment Required response
- LLM inference timeout — elapsed_ms high, potential partial results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| mode | string | all: every criterion must hold, each as its own gate so a drop is attributable. any: at least one must hold. score: the weighted mean must clear the threshold. |
| records | array | Any shape. At most 4000 characters per record. |
| criteria | array | |
| dropBelow | number | score mode only. Below this a record is dropped; between this and threshold it is marked review. Defaults to half the threshold. |
| threshold | number | In all/any mode, how certain one criterion must be to count as true (0-1, default 0.5). In score mode, the 0-10 score a record must reach (default 5). |
Output
Schema · Response
{
"type": "json",
"example": {
"meta": {
"items": 2,
"bundle": "dataset-filter",
"failures": 0,
"elapsed_ms": 640,
"bundle_version": "0.1.0",
"model_cost_usd": 0.00012
},
"results": [
{
"id": "1",
"score": 9.81,
"reason": "all_criteria_met",
"verdict": "keep",
"rationale": "jev@openrouter: keep; reason all_criteria_met; in_europe 0.99, makes_things 0.97",
"confidence": "high",
"rules_applied": []
},
{
"id": "2",
"score": 4.9,
"reason": "failed_makes_things",
"verdict": "drop",
"rationale": "jev@openrouter: drop; reason failed_makes_things; in_europe 0.98, makes_things 0.03",
"confidence": "high",
"rules_applied": [
"require_makes_things"
]
}
]
}
}Tags
x402
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