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Agenda Intelligence

vassiliylakhonin/agenda-intelligence-md
4authSTDIOregistry active
Summary

If you're building AI agents that touch cross-border logistics, trade finance, or procurement workflows and need structured risk triage before human review, this is a trust-routing layer that takes evidence packs and returns auditable escalation decisions. It exposes three vertical workers over MCP: Middle Corridor deal risk gates for Kazakhstan routes, CIS secondary sanctions exposure checks, and agentic interaction trust scoring. Each worker validates evidence against schemas, flags gaps, and routes to allow, step up, escalate, or not-decision-ready outcomes without making factual determinations. Ships with HTTP API, A2A adapter, and Cloudflare Worker baselines, plus optional live retrieval against Watchman or OpenSanctions for sanctions screening. Good fit if you need reproducible geopolitical risk memos with source coverage audit trails baked in.

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Agenda Intelligence MD

Agenda Intelligence MD is a deterministic evidence-packet linter for claim-backed AI output.

Give it claims, the source IDs each claim relies on, optional quotations, and the supplied source text. It returns broken references, quote mismatches, lexical-support gaps, unmatched numbers, and the next reviewer actions.

It reports packet completeness, not whether a claim is true:

  • not a factuality verifier;
  • no autonomous live source retrieval;
  • no authorization, approval, or compliance decision;
  • human review is required for every result.

PyPI version CI License: MIT

First run

Run the canonical synthetic packet from a source checkout:

git clone https://github.com/vassiliylakhonin/agenda-intelligence-md
cd agenda-intelligence-md
python -m venv .venv
.venv/bin/python -m pip install -e .
.venv/bin/agenda-intelligence check examples/evidence-packet/request.json

Expected shape:

packet_status=packet_complete claims=2 sources=1 factuality=not_assessed
  c1: packet_complete (lexical_support=supported, coverage=1.0)
  c2: packet_complete (lexical_support=supported, coverage=1.0)

Use JSON for an agent loop or CI pipeline:

.venv/bin/agenda-intelligence check examples/evidence-packet/request.json --format json
.venv/bin/agenda-intelligence check examples/evidence-packet/request.json --strict

--strict exits non-zero unless every claim is packet_complete.

Install the pinned release without cloning the source and check your own packet:

pip install "agenda-intelligence-md==1.3.0"
agenda-intelligence check /path/to/evidence-packet.json --strict

The evidence-packet contract

The request has two required collections:

  • claims: a claim ID, claim text, declared source_ids, and optional verbatim quotes;
  • sources: a source ID and the text supplied by the caller.

Request schema: schemas/v1/evidence-packet-request.schema.json

Response schema: schemas/v1/evidence-packet-response.schema.json

Runnable example: examples/evidence-packet/request.json

The response has three packet statuses:

StatusMeaning
packet_completeReferences resolve and the named source text has strong lexical overlap with the claim.
source_review_requiredReferences resolve, but lexical support is weak or a numeric value is not present.
packet_incompleteA source is missing, a quote is absent, or the claim has no source reference.

factuality_status is always not_assessed. A complete packet can still rely on a wrong, stale, biased, or irrelevant source.

Python API

import json
from pathlib import Path

from agenda_intelligence.services import check_evidence_packet

packet = json.loads(Path("examples/evidence-packet/request.json").read_text())
result = check_evidence_packet(packet)
print(result["response"]["packet_status"])

The service layer is stateless. It does not persist packet contents or fetch missing sources.

What this is

  • A small JSON contract for claim-backed AI output.
  • A deterministic preflight before human review.
  • A CLI and Python service suitable for local and CI use.
  • An inspectable base for domain-specific compatibility profiles.

What this is not

  • A general LLM evaluation platform.
  • A GRC, vendor-management, or document-storage system.
  • An agent authorization or policy-enforcement layer.
  • Legal, compliance, sanctions, financial, investment, insurance, or trading advice.
  • Proof that a source or claim is factually correct.

Why a repo full of markdown?

The repository predates the evidence-packet focus and also packages agent reasoning instructions. Files under skills/ are executable instructions for compatible agent runtimes, not ordinary prose documentation. They remain available for compatibility, but they are not the primary product interface.

MCP

The packaged MCP server remains available for existing clients:

{
  "mcpServers": {
    "agenda-intelligence": {
      "command": "uvx",
      "args": ["--from", "agenda-intelligence-md", "agenda-intelligence-mcp"]
    }
  }
}

The canonical evidence-packet preflight is currently exposed through the CLI and Python service. Existing MCP tools such as audit_claims, verify_quotes, grounded_check, and verify_claims remain compatible; no tool was removed or renamed. See MCP.md.

Claude Code plugin installation also remains available:

/plugin marketplace add vassiliylakhonin/agenda-intelligence-md
/plugin install agenda-intelligence@agenda-intelligence

Compatibility profiles and adapters

The strategic-intelligence shell, HTTP API, A2A adapter, Cloudflare Workers, and five domain profiles remain in the repository. They demonstrate how the same service layer can be wrapped for different transports and domains. They are not the default commercial wedge and do not establish product-market fit.

Compatibility surfaceReference
Strategic agenda analysisAgenda-Intelligence.md
HTTP APIdocs/deployment/http-api.md
A2A adapterdocs/deployment/a2a-adapter.md
Middle Corridor exampledocs/use-cases/kazakhstan-middle-corridor.md
CIS secondary-sanctions exampledocs/use-cases/cis-secondary-sanctions.md
Agentic interaction exampledocs/use-cases/agentic-interaction-trust.md
Gulf maritime exampledocs/use-cases/gulf-maritime-exposure.md
Kazakhstan market-entry exampledocs/use-cases/kazakhstan-market-entry-readiness.md
Live A2A demo packdocs/agenstry/demo-pack.md

The compatibility profiles are evidence-routing examples only. They do not provide legal, compliance, sanctions, financial, investment, insurance, or trading advice. Human review is required before any commercial action.

Verification Contract

The repository keeps three checks separate:

  1. check reports packet completeness and lexical-support diagnostics.
  2. grounded-check performs the older claim-to-corpus lexical diagnostic.
  3. verify-claims applies declared freshness, authority, independence, jurisdiction, and identifier rules to caller-supplied evidence.

None discovers the right sources for the caller. verified in the bounded Claim Verdict contract means the supplied evidence meets that declared contract; it is not absolute truth.

Schemas

Canonical schemas live under schemas/v1/. Packaged copies under src/agenda_intelligence/data/schemas/v1/ must remain byte-equivalent; CI checks this invariant.

Start with:

  • evidence-packet-request.schema.json
  • evidence-packet-response.schema.json
  • evidence-audit.schema.json
  • claim-verification-request.schema.json

The full registry is in agent-manifest.json.

Before / after and benchmarks

The older agenda-analysis evaluation surface remains available for regression and compatibility work:

  • examples/before-after/eu-ai-act.md
  • examples/before-after/red-sea-shipping.md
  • examples/before-after/sanctions-routing.md
  • examples/source-backed/eu-ai-act.md

These are evaluation fixtures, not customer evidence or production benchmarks.

AnalysisBank

analysis-bank/ contains compatibility fixtures for reasoning-memory retrieval and failure-pattern regression. It is not part of the primary evidence-packet workflow.

Status

SurfaceStatus
Evidence-packet request/response schemasImplemented
check_evidence_packet Python serviceImplemented
agenda-intelligence check packet auto-detectionImplemented
Legacy agenda-brief behavior for checkPreserved
Evidence-packet MCP toolNot implemented; use CLI or Python
Live source discoveryNot implemented
Factuality determinationNot implemented by evidence-packet preflight
Paying customers or named pilotsNone claimed

Current classification: portfolio-proof / build-to-learn.

Documentation

TopicFile
AdoptionADOPTION.md
Quickstartdocs/quickstart.md
Evidence auditdocs/evidence-audit.md
Factuality boundarydocs/factual-verification.md
Evaluationdocs/evaluation.md
Source policySOURCE_POLICY.md
SecuritySECURITY.md
Threat modeldocs/threat-model.md
RoadmapROADMAP.md

Repository layout

schemas/v1/                    public JSON contracts
src/agenda_intelligence/       Python service and transport adapters
examples/evidence-packet/      canonical packet example
tests/                         contract and regression tests
skills/                        compatibility agent instructions
deploy/cloudflare-worker/      compatibility Worker implementation
docs/                          reference and compatibility documentation

Development

pip install -e ".[dev]"
make ci

make verify-local also runs the compatibility Cloudflare Worker tests.

Roadmap

The next decision is adoption, not another vertical worker: test the evidence-packet contract on redacted practitioner artifacts, measure repeat use, and keep it portfolio-only if no repeated workflow appears. See ROADMAP.md.

License

MIT

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Configuration

ANTHROPIC_API_KEYsecret

Optional. When set together with the [llm] extra (pip install 'agenda-intelligence-md[llm]'), the `analyze` tool calls the Anthropic API directly and returns a schema-validated memo. Without this key, `analyze` returns the assembled system_prompt for the host model to complete.

AGENDA_INTELLIGENCE_MODEL

Optional. Anthropic model identifier used when ANTHROPIC_API_KEY is set. Defaults to a current Claude model.

AGENDA_INTELLIGENCE_MAX_TOKENS

Optional. Max tokens for the Anthropic call from `analyze`. Defaults to 4096.

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UpdatedJun 1, 2026
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