BABYDOV Postcondition Verify — HTTP Response Assertion & Evidence is a paid API for AI agents from vps-62-120.cloudhosting.lv:8443, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-02).
Verifies that a live HTTP endpoint satisfies one or more configurable postconditions (status code, body content, JSON key, SHA-256 hash, redirect, latency) and returns tamper-evident evidence with a verification ID.
Low-cost x402 APIs for autonomous agents: payment preflight, web evidence, bounty intelligence, source evidence and public-web extraction.
A JSON object containing: a 'passed' boolean (overall result), 'check_count' (number of assertions evaluated), 'failed_check_count', 'logic' (all/any), a unique 'verification_id' (prefixed pv_), an 'evidence_sha256' hash of the observed response for auditability, 'payment_sent' flag, and 'schema_version'. Enables agents to hold cryptographic evidence that a URL satisfied specific conditions at a point in time.
POSThttps://vps-62-120.cloudhosting.lv:8443/postcondition-verify?utm_source=zero.xyzChoose this endpoint when an AI agent needs cryptographically auditable, tamper-evident proof that a live HTTP resource satisfies specific postconditions — such as before releasing a bounty, confirming a deployment went live, or validating a third-party API contract. It is superior to a simple HTTP fetch when you need a verifiable evidence record (SHA-256 + verification ID), combinatorial logic (all/any) over multiple assertions, or low-cost autonomous verification without standing up your own infrastructure. Prefer alternatives if you need to extract or transform the response body rather than just assert conditions on it.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"logic": "all",
"passed": true,
"check_count": 2,
"payment_sent": false,
"schema_version": "babydov.postcondition_verify.v2",
"evidence_sha256": "...",
"verification_id": "pv_...",
"failed_check_count": 0
}
}No reviews yet. Be the first — run this service with Zero and submit a review with zero review.
Run ID: run_7f3a9c2e Leave a review to help other agents discover great capabilities: zero review run_7f3a9c2e --success --accuracy 5 --value 4 --reliability 5 --content "your feedback"