Private integration brief · Deccan AI × Hive · not indexed
Technical integration brief · quality proof

Make pristine data independently provable.

Deccan AI produces super-accurate post-training data, RL environments, and expert evaluations for frontier models. People curate it on a purpose-built platform with linters, compilers, LaTeX editors, and LLM validators, backed by high-touch QC. AFiR wraps those workflows in signed receipts. A buyer can check those receipts without having to trust platform logs.

Here's what that gets you: every curated data pack, environment run, and evaluation carries independent proof of its conditions. That covers expert eligibility, the task and rubric, validator evidence, the human review path, the output, QA escalation, and where the data came from. Deccan produces the quality. Hive signs the conditions and the trail. Keeping those two jobs separate is the whole point.

You can do this yourself today. Pay with x402, request an activation key, or open OriginProof and run a sample receipt. This brief should answer your questions on its own. No meeting required.

Technical integration brief

Where AFiR attaches to the Deccan AI quality pipeline

This is a thin signature layer that sits on top of the data, QC, and evaluation infrastructure Deccan already runs. For each integration point, you'll see what Deccan has today, what Hive signs, and what a downstream buyer can check on their own.

Integration pointWhat Deccan hasWhat Hive signsWhat the buyer verifies
Expert onboarding / eligibility Exceptional vetted experts, domain-specific talent pools. An eligibility receipt showing the credential and eligibility bar was cleared. No raw identity documents get exposed. expert_eligibility
Task / rubric assignment Domain-specific tasks, gold standards, scoring rubrics. A hash of the task and scoring rubric bound to the assignment. task_hash · rubric_hash
Platform validator evidence Linters, code compilers, LaTeX editors, LLM validators in-platform. A receipt binding which validators ran and their pass state to the item. validator_evidence
Human review path High-touch QC, expert review passes, drift control. AFiR binds each human review move to the output it produced. review_chain · output_hash
QA escalation Re-review of weak items, escalation and sign-off ladders. A QA-escalation receipt bound to the item it cleared. qa_pass
RL environment run Purpose-built RL environments and agentic task runs. An environment-run receipt binding the transcript to its declared setup. env_transcript
Dataset / eval export Curated data packs and evaluation exports delivered to labs. An export/lineage receipt linking rows to their signed conditions. dataset_export_id
Prove now · sign the quality pipeline Deccan already runs

These map onto data, QC, and evaluation work that already happens. Add a signature layer to the pipeline you already run, and each item becomes something a buyer can check for themselves. That's portable evidence, not just a line in a dashboard.

01

Expert eligibility receipt

Confirm the expert cleared the credential and eligibility bar set for the task, without exposing the identity documents behind it.

expert_eligibility
02

Task / rubric hash

Fingerprint the domain task and its scoring rubric or gold standard, tied to the assignment, so the declared bar travels with the deliverable.

task_hash · rubric_hash
03

Validator evidence receipt

Record which platform validators ran (linter, compiler, LaTeX, LLM validator) and their pass state. That makes silent QC gaps detectable and much harder to hide.

validator_evidence
04

Human review path & output binding

Tie the high-touch human review path to the item, then bind the output with AFiR or AFiR-Stream. That ties the declared conditions to the item the buyer actually receives.

review_chain · output_hash
05

QA escalation receipt

Sign off on the escalation step, showing which reviewer ladder cleared the item, so the QA chain travels with the deliverable as real evidence, not just something sitting in an internal system.

qa_pass
06

RL environment & dataset lineage

Carry a signed environment-run transcript and history through the exported data pack, showing which signed conditions produced which rows, so that history survives packaging and resale.

env_transcript · dataset_export_id
Build next · turn Deccan quality into product surface

Once the receipts exist, quality stops being just an internal control and becomes something you can sell. These are strategic options worth reviewing with counsel. They're not claims that any of this ships today.

A

OriginProof / Human-Origin Attestation

Verified data packs and human-curated work become their own named product line, a process a buyer can prove was human-conditioned and price a premium against.

product: OriginProof
B

Imprimatur / portable expert credentials

A portable, signed record of an expert's cleared credentials and skills that follows the work across engagements. It's reusable, it can be revoked, and a buyer can check it.

attestation: portable
C

Mission Coherence / provable QC ladders

Prove an item followed the declared rubric and QC ladder, with a signed receipt, not just a score sitting in a dashboard.

rubric_conformance
D

Assembly Receipt / evaluation provenance graph

A history graph for an assembled data or evaluation pack, where every contributing condition and environment run is linked and signed, so a model buyer can check the whole chain from end to end.

provenance_graph
E

SmartMorphAgent™ + x402

Agents can buy verified expert evaluation or data on demand. An agent pays with x402 at the moment proof is needed, and gets back a signed receipt tied to the human-conditioned work it just bought.

agent_settlement: x402

See it sign

Build a verified Deccan quality receipt

Pick a Deccan-style workflow, then click Sign the receipt. The workflow sets the task and validator evidence. Each condition signs in turn, and the live receipt fills in field by field. Nothing here claims a route. It only confirms the conditions the work was made under.

  • expert_eligibilityCredential and eligibility bar cleared for the task
  • validator_evidencePlatform validators ran and recorded their pass state
  • human_reviewHigh-touch QC review path bound to the output
  • output_bindingAFiR ties the conditions to the delivered item
  • dataset_lineageItem linked into the data pack's history
receipt.json unsigned
"workflow": "coding_eval",
"expert_eligibility": "credential_cleared",
"validator_evidence": "linter · compiler",
"human_review": "high_touch_qc",
"output_binding": "afir / afir-stream",
"dataset_lineage": "linked",
"signer": "hive · ml-dsa-65",
"does_not_assert": ["definitely_human", "certainly_uncontaminated"]

Explorer preview

A verified Deccan quality receipt

This is an illustrative mock-up with made-up values, not real Deccan data. It shows how a signed Deccan data-pack receipt reads once it carries an AFiR receipt. Click Verify receipt to run the simulated check.

explorer.thehiveryiq.com / datapacks / DQ-PACK-9C42A1F7 Illustrative mock
signed verified export-ready
datapack_idDQ-PACK-9C42A1F7
deccan_workflowcoding_eval · rl_environment
expert_eligibilitydomain_expert · cleared
rubric_hashsha256:4e08…d5c1
validator_evidencelinter · compiler · llm_validator
review_chainhigh_touch_qc: 2 passes
output_hashsha256:c93d…12fa
env_transcriptsha256:a17b…8fd0
provenance_statuslinked · export-ready
dataset_export_idDS-2026Q3-DECCAN-0142
afir_signatureafir:MEUCIQ…k9Zr
pq_signatureml-dsa-65:BId3…Qw==
condition_flagseligibility · rubric · validators · qa
verified_atnot yet (run verify)
attestationconditions, never a route
does_not_assert["definitely_human", "certainly_uncontaminated"]
Verify receipt
This checks the receipt's signature against the published Hive key, on its own, without relying on Deccan's platform logs. It's simulated here just for preview.
$ hive verify DQ-PACK-9C42A1F7
→ fetching receipt … ok
→ afir_signature … valid
→ pq_signature (ml-dsa-65) … valid
→ rubric_hash / validator_evidence bound … match
→ env_transcript hash … match
→ high_touch_qc review chain … intact
✔ receipt verified · conditions attested
Here's the boundary, stated plainly. A verified receipt confirms conditions, never a route. It proves a provably human-conditioned process. It does not claim to prove the output itself was human-made. The receipt does not claim definitely_human or certainly_uncontaminated. What it does is make undisclosed model assistance detectable and much harder to hide. Not impossible. Just harder.

Why independence matters

A platform log is an operational record. A receipt is portable evidence.

Both have their place. The difference is who you have to trust for the record to mean something to a downstream buyer.

Platform log

“Our platform recorded it.”That's a useful operational fact, but the buyer has to trust the same platform that produced the record. The record-keeper and the interested party are the same company.

Independent receipt

Evidence that checks out without the platform.This is a signed receipt a buyer checks against a public key. It's proof that travels with the data pack right into the buyer's own pipeline.

Deccan owns the quality operation: the experts, the platform, the environments, the evaluations. Hive signs the proof on top of it. The company that produces the work isn't the company that signs the proof. Keeping those separate is exactly what makes an independent check worth more than a claim.

Start signing

Pay, activate, or see it for yourself. No meeting needed.

Every path is self-serve and real. Settle with x402, request an activation key, or open OriginProof and run a sample receipt.

Sources & grounding

Public, organization-level grounding for the framing above. No individuals named; claims are kept to what these public materials state.

  • Deccan AI: Home: super-accurate SFT/RLHF data, RL environments, agents, post-training and multimodal data. deccan.ai
  • Deccan AI: About: exceptional platform and experts, human-verified datasets, purpose-built platform with linters, compilers, LaTeX editors, LLM validators. deccan.ai/about-us
  • Deccan AI: Solutions: agentic workflows, multimodal SFT, code generation and debugging, text-to-SQL, model evaluation, RAG, RLHF, high-touch QC. deccan.ai/solutions
  • Deccan AI: Datasets: curated data collections for training, alignment, and evaluation workflows. deccan.ai/datasets
  • Deccan AI: Contact: organization contact and engagement channel. deccan.ai/contact-us
new in the canon · put sampling setup on record

Put a time and steward behind the quality sample

This new receipt gives a sampled quality review a record of how its evaluation was set up. It answers in production right now, and the run below proves it end to end.

eval.administration · Deployed in production

Trace how a labeled work sample entered review

Quality sampling is stronger when a reviewer can see how the sample reached its assessment. The receipt pairs one labeled work evaluation with the declared administration arrangement. It fingerprints the sample set before its contents go to the people being assessed and before the review period opens. Its independence class is recomputed from the stated relationship and separation of review duties, rather than accepted as caller text. The claimed administrator and the described working arrangement stay as assertions that this service does not independently verify.

What it does not do. It carries no quality score or result and does not decide whether the sampled rows represent the full data pack, whether the set was appropriate, or whether the evaluation method was adequate. It also cannot establish that items never reached a contributor elsewhere or that the administrator was competent, and it is not a certification, accreditation, or audit opinion that standards bodies, regulators, or insurers currently recognize.

POST /verify/eval-administration · case pass, a clean record

Nothing has run yet. Click Run it and the answer below comes back from the verifier, not from this page.

POST /verify/eval-administration · case fail, a forged record

Nothing has run yet. Click Run it and the answer below comes back from the verifier, not from this page.

Every run above posts a verified request body from this domain to the open verify route and prints what came back. The example receipts are signed with published example keys, so verify reports key_trust example_registry. That is on purpose. Nothing on this page is a production issuance, a customer record, or an endorsement. Patent Pending.