code402 Context Distill is a paid API for AI agents from hcrb.in, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-12).
Offline deterministic text distillation that extracts word count, top words, content hash, and first sentence from input text — paid per call via x402 USDC micropayments on Base.
Offline deterministic checks (no ML, no scraping) for business identifiers and rental due-diligence, paid per call via x402 (gasless EIP-3009 USDC on Base). Checksum-verifiable (IBAN, LEI, VAT, ABA, ISBN, SEDOL…) vs format-only (EIN, IFSC, SWIFT/BIC…) — every response returns a scope field. Non-custodial, signed receipts. First 3 calls/day free.
A JSON object containing: valid (boolean), word_count (total words), meaningful_word_count (non-filler words), top_words (array of frequent/significant terms), content_hash (deterministic hex hash of the input), first_sentence (extracted opening sentence), tool (endpoint identifier), and scope (describing what validation or analysis was applied).
POSThttps://hcrb.in/v1/tools/context-distill/call?utm_source=zero.xyzChoose this endpoint when you need fast, offline, deterministic text distillation with no ML inference or external scraping — particularly when reproducibility and content hashing matter (e.g. deduplication, audit trails). It is ideal for agents that need to fingerprint, summarize statistics, or extract top words from text in a privacy-preserving way. The micropayment model ($0.005/call via x402 USDC) makes it cost-effective for high-volume processing at scale. Prefer it over ML-based summarizers when you need deterministic, verifiable outputs rather than generative paraphrases.
| Field | Type | Description |
|---|---|---|
| input | object |
{
"type": "json",
"schema": {
"type": "object",
"required": [
"valid",
"word_count"
],
"properties": {
"tool": {
"type": "string"
},
"scope": {
"type": "string"
},
"valid": {
"type": "boolean"
},
"top_words": {
"type": "array"
},
"word_count": {
"type": "number"
},
"content_hash": {
"type": "string"
},
"first_sentence": {
"type": "string"
},
"meaningful_word_count": {
"type": "number"
}
}
},
"example": {
"valid": true,
"top_words": [],
"word_count": 0,
"content_hash": "0x…",
"first_sentence": "",
"meaningful_word_count": 0
}
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