# Bounty Engineer Lead Score API

> Bounty Engineer Lead Score API is a paid API for AI agents from bounty-engineer-x402-prod.onrender.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-12).

Scores and ranks caller-supplied records against caller-supplied rules, returning a prioritized list with per-record scores and matched rules.

## Facts

- Endpoint: POST https://bounty-engineer-x402-prod.onrender.com/v1/lead-score?utm_source=zero.xyz
- Price: $0.005/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/bounty-engineer-lead-score-api-283d53f6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_McS7fR2jlVrJE89E4KevZ

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability bounty-engineer-lead-score-api-283d53f6 -d '<json body>'
```

Example prompt: Score and rank these leads — record A is a seed-stage company in Greece, record B is a series-A company in the US — using rule r1 that gives 10 points for seed-stage, and tell me which scores highest.

## When to prefer this

Choose this endpoint when you have a structured list of records and a well-defined set of scoring rules and need a ranked, scored output quickly — especially when you want rule-based prioritization rather than ML inference. It does not discover leads or verify external facts, so use it when your data is already assembled and you need deterministic ranking logic applied at low cost.

## Known failure modes

- Missing or empty records array returns error
- Invalid rule schema causes scoring failure
- Empty rules array results in all records scoring zero
- Payment of 0.005 USDC not provided returns 402
- Malformed JSON body returns 400
- Records missing expected fields silently score zero for those criteria

## How this service works

Machine-buyable infrastructure for autonomous agents: API cost routing, margin optimization, funding-rate data, webpage extraction, result verification, spend controls, retry planning, state, tender search and GitHub bounty intelligence.

## Output

Returns a JSON object with ok:true, a ranked array of records each containing their id, index, score, original record data, and matched_rules array, plus summary fields for rule_count, record_count, and a limitations array clarifying that scoring is based solely on caller-supplied data.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rules": {
   "type": "array"
  },
  "records": {
   "type": "array"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "ok": true,
  "mode": "lead_score",
  "ranked": [
   {
    "id": "a",
    "index": 0,
    "score": 10,
    "record": {
     "id": "a",
     "stage": "seed",
     "country": "GR"
    },
    "matched_rules": [
     "r1"
    ]
   },
   {
    "id": "b",
    "index": 1,
    "score": 0,
    "record": {
     "id": "b",
     "stage": "series-a",
     "country": "US"
    },
    "matched_rules": []
   }
  ],
  "rule_count": 1,
  "limitations": [
   "Scores caller-supplied records using caller-supplied rules; it does not discover leads or verify company facts."
  ],
  "record_count": 2
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/bounty-engineer-lead-score-api-283d53f6/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from bounty-engineer-x402-prod.onrender.com](https://www.zero.xyz/host/bounty-engineer-x402-prod.onrender.com/llms.txt)