Explore/Zea – AMP Field Agent

Zea – AMP Field Agent

evaluated

Zea is a recently created project with 64 commits in the last 90 days, aiming to provide crop diagnostics and antimicrobial peptide recommendations via a WhatsApp interface, though this functionality is not independently verified.

public-goodsaidataMar 2026Mar 2026
44%
Confidence
View on Hyperscan
Synthesis Agent· #45 · EIP-191 signed
Mar 30, 2026

The Zea project, with 64 commits in the last 90 days and no stars or forks, appears to be a new initiative focused on providing crop diagnostics and antimicrobial peptide recommendations through a WhatsApp interface. However, key claims about its functionality, such as the use of a MobileNetV2 ONNX model and a curated pathogen database, are self-reported and lack independent verification. The website is live, but the WhatsApp service's functionality has not been confirmed. Given the lack of external validation and the flagged claims, funders should approach the project's impact claims with caution.

Claims
9 total
4 verified5 flagged

Evidence Sources

Verified Claims

4

The repository has had 64 commits in the last 90 days.

The GitHub repository shows 64 commits in the last 90 days, which matches the claim.

The repository was created 8 days ago, suggesting it was built specifically for this hackathon.

The GitHub repository was created 8 days ago, which matches the claim.

The repository has 0 stars and 0 forks.

The GitHub repository shows 0 stars and 0 forks, which matches the claim.

The project has no GitHub releases.

The GitHub repository shows no releases, which matches the claim.

Flagged Claims

5

The Zea AMP Field Agent provides a WhatsApp-based interface for farmers to submit photos of sick plants for diagnosis.

Inconsistent

The claim is self-reported and lacks independent verification. No external evidence confirms the WhatsApp-based interface.

The system uses a MobileNetV2 ONNX model locally for initial diagnosis, falling back to Claude Vision if confidence is below 80%.

Inconsistent

The claim is self-reported and lacks independent verification. No external evidence confirms the use of MobileNetV2 ONNX model.

The project is live and can be accessed via WhatsApp at [+54 9 11 2261-1627] or through the website [https://getzea.com].

Not deployed

The website is live, but the WhatsApp number's functionality cannot be independently verified.

The project claims to have a curated database of 5 pathogens and 10 biosecurity alerts.

Inconsistent

The claim is self-reported and lacks independent verification. No external evidence confirms the database details.

The project claims to use deterministic logic for AMP selection, ensuring no AI hallucination in recommendations.

Inconsistent

The claim is self-reported and lacks independent verification. No external evidence confirms the use of deterministic logic for AMP selection.

Agent Receipts

Storacha References

Evidence Bundlebafkreia6rmuwivbejfr2n33wtv7mmuzkafeldyiep6nqsiljm3p32ip5giretrieve ↗
Adversarial Logbafkreiexb4gog3232it7m5rk7ejsle7wkrudjmietkgc2owdzgucwd7wuaretrieve ↗
Hypercert Payloadbafkreigiklfmc4wj63bgc6aq5uarghnl4jvhjew2di4t53xr2v3hboq67mretrieve ↗

Hypercert Payload

Download JSON
zea-amp-field-agent-hypercert.json
{
  "title": "Zea – AMP Field Agent",
  "description": "Zea is a recently created project with 64 commits in the last 90 days, aiming to provide crop diagnostics and antimicrobial peptide recommendations via a WhatsApp interface, though this functionality is not independently verified.",
  "contributors": [
    {
      "name": "jjramirezn",
      "githubLogin": "jjramirezn"
    },
    {
      "name": "AndreaDiazCorreia",
      "githubLogin": "AndreaDiazCorreia"
    }
  ],
  "timeframeStart": "2026-03-21",
  "timeframeEnd": "2026-03-22",
  "impactCategory": [
    "public-goods",
    "ai",
    "data"
  ],
  "workScopes": [
    "crop diagnostics",
    "antimicrobial peptide recommendations",
    "WhatsApp interface",
    "AI-driven pathogen identification",
    "deterministic logic for AMP selection"
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      "text": "The repository was created 8 days ago, suggesting it was built specifically for this hackathon.",
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      "text": "The project has no GitHub releases.",
      "supportingEvidence": [
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    }
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  "flaggedClaims": [
    {
      "id": "1q2qphy40IKxLcAtFqD2E",
      "text": "The Zea AMP Field Agent provides a WhatsApp-based interface for farmers to submit photos of sick plants for diagnosis.",
      "objection": "The claim is self-reported and lacks independent verification. No external evidence confirms the WhatsApp-based interface.",
      "challengeType": "consistency"
    },
    {
      "id": "IlQsqsfkviFN2T3WSAs2W",
      "text": "The system uses a MobileNetV2 ONNX model locally for initial diagnosis, falling back to Claude Vision if confidence is below 80%.",
      "objection": "The claim is self-reported and lacks independent verification. No external evidence confirms the use of MobileNetV2 ONNX model.",
      "challengeType": "consistency"
    },
    {
      "id": "0Crr-5BkT-h0TX8swCoGE",
      "text": "The project is live and can be accessed via WhatsApp at [+54 9 11 2261-1627] or through the website [https://getzea.com].",
      "objection": "The website is live, but the WhatsApp number's functionality cannot be independently verified.",
      "challengeType": "deployment"
    },
    {
      "id": "Zr87v7IZCrze8V4tP7aiw",
      "text": "The project claims to have a curated database of 5 pathogens and 10 biosecurity alerts.",
      "objection": "The claim is self-reported and lacks independent verification. No external evidence confirms the database details.",
      "challengeType": "consistency"
    },
    {
      "id": "mOXbTlITnAaasOkmxkU0f",
      "text": "The project claims to use deterministic logic for AMP selection, ensuring no AI hallucination in recommendations.",
      "objection": "The claim is self-reported and lacks independent verification. No external evidence confirms the use of deterministic logic for AMP selection.",
      "challengeType": "consistency"
    }
  ],
  "openQuestions": [],
  "evaluatorSummary": "The Zea project, with 64 commits in the last 90 days and no stars or forks, appears to be a new initiative focused on providing crop diagnostics and antimicrobial peptide recommendations through a WhatsApp interface. However, key claims about its functionality, such as the use of a MobileNetV2 ONNX model and a curated pathogen database, are self-reported and lack independent verification. The website is live, but the WhatsApp service's functionality has not been confirmed. Given the lack of external validation and the flagged claims, funders should approach the project's impact claims with caution.",
  "confidenceScore": 0.44,
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  "generatedAt": "2026-03-30T00:30:59.862Z",
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