Payload Check

x402

Payload Check is a paid API for AI agents from seenly-payload-check.vercel.app, paid per call via x402, $0.03/call, status unknown (last checked 2026-10-13).

Runs deterministic data-quality checks on any payload (JSON, code, HTML, CSV, LLM output) and returns a 0-100 score, pass/warn/fail verdict, and a list of concrete issues found

Price / call$0.03

Seller volume →—

Success—

StatusUnknown

How this service works

Payload Check: data-quality filter for agents. Send any payload (tool/API output, scraped page, LLM answer, generated code, JSON, CSV) and get a 0-100 quality score, pass/warn/fail, tags and concrete issues: invalid or truncated JSON (with auto-repair), JSON Schema mismatches, syntax errors, bot-challenge/captcha/404 scrapes, LLM refusals, placeholders, repetition loops, mojibake. Deterministic, no LLM, payload not stored.

Output

Returns a quality score from 0 to 100, a verdict of pass, warn, or fail, an array of tagged issues (e.g. invalid_json, captcha_detected, llm_refusal, placeholder_found, repetition_loop, mojibake, schema_mismatch), the detected content type, and optionally a mechanically repaired version of broken JSON. The payload is never stored server-side.

Example use cases

Guard against bad scrape results

“I'm scraping product pages and sometimes getting captcha pages or 404s instead of real content — can you run each scraped HTML through Payload Check with expect='html' so I only pass genuine pages to my extractor?”

Validate LLM output before storing

“After my LLM generates a JSON config object, check it with Payload Check against this JSON Schema I'll give you and a min_score of 80 — if it fails or has placeholders, flag it before I save it to the database.”

Syntax-check generated Python code

“My code-generation agent just produced a Python script — run it through Payload Check with expect='code' and language='python' to make sure there are no syntax errors or structural problems before I execute it.”

Technical details

Endpoint

GEThttps://seenly-payload-check.vercel.app/api/check?utm_source=zero.xyz

When to prefer

Choose Payload Check when you need a fast, deterministic, privacy-safe quality gate for pipeline data — especially when you want to catch broken JSON, bot-challenge scrapes, LLM refusals, or code syntax errors before passing output to the next stage. It is ideal when you cannot send data to an LLM-based checker due to sensitivity, cost, or latency constraints. Prefer it over ad-hoc parsing logic when you need a structured score, a repairable JSON output, and consistent pass/fail thresholds across many payload types.

Side effects

Payload exceeds 256 KB limit — request rejected
Content-type auto-detection misclassifies ambiguous payloads — use explicit 'expect' parameter to override
Repair of severely malformed JSON may not succeed for all cases — repaired field may still be null
Invalid JSON Schema provided in 'schema' field — schema validation step skipped or error returned
Network timeout for unusually large payloads near the size limit

Input

Schema · Request body

Field	Type	Description
expect	string	What the payload should be. auto detects it.
repair	boolean	Try a conservative mechanical repair of broken JSON and return it.
schema	object	Optional JSON Schema (draft-07/2019) the JSON payload must match.
content	string	The payload to check (max 256 KB): JSON (even broken), code, scraped text or HTML, CSV, an LLM answer. Objects/arrays are accepted and checked as JSON.
language	string	Optional code language (javascript, typescript, jsx, tsx get a real parser; python, go, rust, sql, shell get structural checks).
min_chars	integer	Optional minimum length for text payloads.
min_score	number	Score at or above which the verdict is pass (fail is always < 45 or any critical issue).
requestKey	string	Optional idempotency key, echoed back.

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