Crawler Summary

fred-navigator answer-first brief

Navigate FRED categories and series using fredapi, supporting natural-language queries with intent recognition and double validation. --- name: fred-navigator description: Navigate FRED categories and series using fredapi, supporting natural-language queries with intent recognition and double validation. metadata: short-description: FRED navigation and lookup --- FRED Navigator Purpose Provide a reliable workflow to navigate FRED categories and series, with support for: 1. Direct category_id 2. Direct series_id 3. Natural-language query → intent re Capability contract not published. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

fred-navigator is best for for workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 94/100

fred-navigator

Navigate FRED categories and series using fredapi, supporting natural-language queries with intent recognition and double validation. --- name: fred-navigator description: Navigate FRED categories and series using fredapi, supporting natural-language queries with intent recognition and double validation. metadata: short-description: FRED navigation and lookup --- FRED Navigator Purpose Provide a reliable workflow to navigate FRED categories and series, with support for: 1. Direct category_id 2. Direct series_id 3. Natural-language query → intent re

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals2 GitHub stars

Capability contract not published. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 4/15/2026.

2 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Kiszly

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 4/15/2026.

Setup snapshot

git clone https://github.com/kiszly/FRED-Navigator.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Kiszly

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 2026Source linkProvenance
Adoption (1)

Adoption signal

2 GitHub stars

profilemedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

0

Snippets

0

Languages

typescript

Parameters

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Navigate FRED categories and series using fredapi, supporting natural-language queries with intent recognition and double validation. --- name: fred-navigator description: Navigate FRED categories and series using fredapi, supporting natural-language queries with intent recognition and double validation. metadata: short-description: FRED navigation and lookup --- FRED Navigator Purpose Provide a reliable workflow to navigate FRED categories and series, with support for: 1. Direct category_id 2. Direct series_id 3. Natural-language query → intent re

Full README

name: fred-navigator description: Navigate FRED categories and series using fredapi, supporting natural-language queries with intent recognition and double validation. metadata: short-description: FRED navigation and lookup

FRED Navigator

Purpose

Provide a reliable workflow to navigate FRED categories and series, with support for:

  1. Direct category_id
  2. Direct series_id
  3. Natural-language query → intent recognition → double validation

Inputs

  • category_id: FRED category id
  • series_id: FRED series id
  • query: natural language request
  • limit: number of candidates to return (default 5)
  • api_key: read from environment FRED_API_KEY only

Required Resources

  • references/fred_categories_tree.json
  • references/fred_categories_flat.json
  • Optional: references/category_paths.json (precomputed)
  • Optional: references/synonyms.json
  • Helper script: scripts/fred_query.py
  • Path builder: scripts/build_paths.py

Optional Resource Structure Notes

  • references/category_paths.json format:
    • { "category_id": { "id": <int>, "name": "<str>", "path": "<str>" }, ... }
  • references/synonyms.json format:
    • { "concept": ["alias1", "alias2", ...], ... }

Workflow

1. Category Exploration

  1. Load fred_categories_tree.json for hierarchical browsing.
  2. If user provides category_id, validate it exists.
  3. If user provides category_name, fuzzy match against flat names and return candidates.

2. Series Discovery

  1. Use search_by_category(category_id) to list available series.
  2. Prefer scripts/fred_query.py category <id> for consistent output.
  3. Return key columns:
    • id, title, frequency, units, seasonal_adjustment, last_updated.

3. Series Retrieval

  1. Use get_series(series_id) for time series.
  2. Use get_series_info(series_id) for metadata.
  3. Prefer scripts/fred_query.py series <id> and scripts/fred_query.py series-info <id>.
  4. Provide:
    • data head/tail
    • missing counts
    • latest value and date

4. Natural Language Query

4.1 Intent Identification (Top-K)

  1. Use the IDE agent (Codex) to interpret the natural-language intent.
  2. Select the single best-matching category.
  3. If confidence is low, ask the user to confirm the category before proceeding.
  4. Use references/category_paths.json and references/synonyms.json as supporting context if available.

4.2 Double Validation

Structural validation

  • Candidate must exist in fred_categories_tree.json.
  • Pass if at least one:
    • children non-empty
    • search_by_category(id) returns >= 1 series
    • Prefer scripts/fred_query.py check-category <id> for a quick check

Semantic validation (agent)

  • Compare query with candidate name/path.
  • Return pass/fail or numeric relevance score.

4.3 Decision

  • If structural + semantic validation both pass → accept category.
  • Otherwise:
    • return Top-5 candidates
    • ask user to choose one explicitly

Failure Handling

  • Always provide Top-5 candidates when uncertain.
  • Never proceed to series retrieval if category validation fails.

Notes

  • Do not hardcode API keys.
  • Keep heavy reference data in references/, not in this file.
  • When running Python functions for querying, execute them inside the sandbox environment.

Maintenance

  • Update workflow or constraints: edit SKILL.md.
  • Update category data: replace files in references/.
  • Improve natural-language matching: add or edit references/synonyms.json (key → list of related terms).
  • Regenerate precomputed paths (optional): run scripts/build_paths.py.
  • Add helper scripts (optional): place in scripts/ and document usage here.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/kiszly-fred-navigator/snapshot"
curl -s "https://xpersona.co/api/v1/agents/kiszly-fred-navigator/contract"
curl -s "https://xpersona.co/api/v1/agents/kiszly-fred-navigator/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/kiszly-fred-navigator/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/kiszly-fred-navigator/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/kiszly-fred-navigator/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/kiszly-fred-navigator/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/kiszly-fred-navigator/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/kiszly-fred-navigator/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T02:15:23.795Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "for",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:for|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Kiszly",
    "href": "https://github.com/kiszly/FRED-Navigator",
    "sourceUrl": "https://github.com/kiszly/FRED-Navigator",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T02:13:45.164Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/kiszly-fred-navigator/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/kiszly-fred-navigator/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T02:13:45.164Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "2 GitHub stars",
    "href": "https://github.com/kiszly/FRED-Navigator",
    "sourceUrl": "https://github.com/kiszly/FRED-Navigator",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T02:13:45.164Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/kiszly-fred-navigator/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/kiszly-fred-navigator/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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Ads related to fred-navigator and adjacent AI workflows.