Xpersona

Crawler Summary

callquest answer-first brief

AI Agent for Artists CallQuest: Agentic AI Boilerplate (Open Calls Agent) $1 $1 $1 $1 $1 CallQuest is both a working agent and a reusable blueprint for building modern agentic systems. It ships end‑to‑end patterns (LLM‑first extraction, receipts/verification, discovery, ranking, notifications, observability) you can adapt to other domains (jobs, grants, CFPs, tenders, events, etc.). For Artists — What You Get Today - Finds relevant open Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Freshness

Last checked 2/22/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

callquest is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 93/100

callquest

AI Agent for Artists CallQuest: Agentic AI Boilerplate (Open Calls Agent) $1 $1 $1 $1 $1 CallQuest is both a working agent and a reusable blueprint for building modern agentic systems. It ships end‑to‑end patterns (LLM‑first extraction, receipts/verification, discovery, ranking, notifications, observability) you can adapt to other domains (jobs, grants, CFPs, tenders, events, etc.). For Artists — What You Get Today - Finds relevant open

MCPverified

Public facts

6

Change events

1

Artifacts

0

Freshness

Feb 22, 2026

Verifiededitorial-content1 verified compatibility signal

Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Schema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 22, 2026

Vendor

Chernistry

Artifacts

0

Benchmarks

0

Last release

0.1.0

Executive Summary

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

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

View Source

Setup snapshot

git clone https://github.com/chernistry/callquest.git
  1. 1

    Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.

  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

Chernistry

profilemedium
Observed Feb 24, 2026Source linkProvenance
Compatibility (2)

Protocol compatibility

MCP

contracthigh
Observed Feb 24, 2026Source linkProvenance

Auth modes

mcp, api_key

contracthigh
Observed Feb 24, 2026Source linkProvenance
Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh
Observed Feb 24, 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

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

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

Self-declaredGITHUB MCP

Extracted files

0

Examples

0

Snippets

0

Languages

typescript

Docs & README

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

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

AI Agent for Artists CallQuest: Agentic AI Boilerplate (Open Calls Agent) $1 $1 $1 $1 $1 CallQuest is both a working agent and a reusable blueprint for building modern agentic systems. It ships end‑to‑end patterns (LLM‑first extraction, receipts/verification, discovery, ranking, notifications, observability) you can adapt to other domains (jobs, grants, CFPs, tenders, events, etc.). For Artists — What You Get Today - Finds relevant open

Full README

CallQuest: Agentic AI Boilerplate (Open Calls Agent)

License: MIT TypeScript Node.js PostgreSQL Playwright

CallQuest is both a working agent and a reusable blueprint for building modern agentic systems. It ships end‑to‑end patterns (LLM‑first extraction, receipts/verification, discovery, ranking, notifications, observability) you can adapt to other domains (jobs, grants, CFPs, tenders, events, etc.).

For Artists — What You Get Today

  • Finds relevant open calls (Israel + international) and filters out past/irrelevant ones.
  • Extracts the key facts you actually need: title, organizer, deadline, apply link, fees/funding.
  • Sends actionable alerts to Telegram and can export calendar entries (ICS).
  • Every item links back to the original source; we don’t guess — we cite.

How it works (in short):

  1. The agent discovers reputable sources (search + quality scoring).
  2. Visits pages, extracts a clean opportunity JSON, verifies it, deduplicates.
  3. Ranks for your profile and notifies you only when it’s worth your time.

Getting started as an artist (dev-style for now):

  • Start the server (see Quickstart). Create a profile, then send a test alert.
    • POST /artists — JSON body example: { "name":"You", "languages":["en"], "disciplines":["residency","grant"], "telegram_chat_id":"<your_chat_id>" }
    • POST /alerts/test?artist_id=<id> — confirms Telegram is wired.

Roadmap for artists: self-serve onboarding, email digests, better profile UI.

Why it’s a good boilerplate

  • LLM‑first with STRICT JSON: prompts in root/src/prompts, loaded via PROMPTS_DIR.
  • Verifiable by design: receipts persisted at each step; /why and /receipts never recompute.
  • Web tooling: MCP Playwright for navigation; fetchWithTimeout with robots.txt + host allowlist.
  • Extraction → normalization → verification: all via LLM + Zod schemas (no regex, no hardcoded domain rules).
  • Dedup: pgvector similarity + deadline proximity, status lifecycle (active/expiring_soon/expired).
  • Dynamic source discovery: search API + LLM quality/legitimacy/freshness scoring.
  • Personalization and multi‑objective ranking: relevance to profile + source quality + actionability.
  • Actions: Telegram and ICS; apply‑URL validation; notification ledger.
  • Observability: Prometheus + optional Langfuse traces.
  • Durable workflows: Step Functions specs (infra/stepfunctions) as production‑ready skeleton.
  • Resilience: retries, timeouts, circuit‑breaker wrappers around search; temporary blocklist for failing hosts.

Quickstart

Requirements: Node.js 20+, PostgreSQL 14+ with vector (pgvector) and pgcrypto.

  1. Install deps: npm i
  2. Copy .env.example → .env, set minimal variables:
    • DATABASE_URL — Postgres connection string
    • LLM_API_KEY — your LLM key (OpenAI/OpenRouter)
    • LLM_PROVIDER_BASEURL — e.g. https://api.openai.com/v1 or https://openrouter.ai/api/v1
    • Optional: MCP_PLAYWRIGHT_URL (external MCP), or use spawned mode via docker-compose
    • Optional: SEARCH_PROVIDER, SEARCH_API_KEY, SEARCH_ENDPOINT (Serper/Tavily)
    • Optional: TELEGRAM_BOT_TOKEN (create via @BotFather)
  3. Migrate DB: npm run db:migrate
  4. Discover sources (optional): npm run discover
  5. Start agent + server: npm start (HTTP: /healthz, /metrics, /receipts, /why?url=...)

Try it:

  • Extract JSON from a URL: npm run extract -- --url https://example.com/open-call
  • Ingest + dedup: npm run ingest -- --url https://example.com/open-call
  • Update statuses by deadlines: npm run expire
  • Send daily digest (Telegram): npm run digest

Where to get keys (one‑liners): OpenAI — platform.openai.com, OpenRouter — openrouter.ai, Telegram bot — @BotFather, Serper/Tavily — their developer dashboards.

Provider notes:

  • Serper: set SEARCH_PROVIDER=serper, SEARCH_ENDPOINT=https://google.serper.dev/search, header X-API-KEY with SEARCH_API_KEY.
  • Tavily: set SEARCH_PROVIDER=tavily, SEARCH_ENDPOINT=https://api.tavily.com/search; Tavily expects api_key in JSON body (we handle this automatically).

Telegram chat_id quick tip:

  • DM @userinfobot to get your numeric chat_id, or add your bot to a chat and call https://api.telegram.org/bot<token>/getUpdates after sending a message to fetch the chat.id.

How to adapt to your agent

  • Replace prompts for your schema in root/src/prompts/*.
  • Swap Zod schemas in root/src/schemas/*.
  • Keep receipts and verification discipline — that’s the core trust pattern.
  • Provide your sources via static list or search + LLM assessment (root/src/agent/discovery.ts).
  • Personalization/ranking in root/src/agent/ranking.ts; wire your delivery channels in root/src/notify/*.
  • For durability, port steps into Step Functions or keep cron flows.

What’s inside

  • Orchestrator: root/src/agent/orchestrator.ts
  • Extraction/Normalization/Verification: root/src/agent/extract.ts, root/src/agent/verify.ts
  • Discovery: root/src/agent/discovery.ts, root/src/tools/search.ts
  • Ranking/Personalization: root/src/agent/ranking.ts, root/src/db/artists.ts
  • Notifications: root/src/notify/telegram.ts, root/src/notify/ics.ts, root/src/notify/compose.ts
  • Metrics: root/src/metrics.ts; Server: root/src/server.ts
  • Migrations: root/migrations/*

Skeptical audit (kept lean)

  • Removed deterministic normalizers and any ad‑hoc heuristics — normalization is LLM‑based (normalizeOpportunityLLM).
  • Deleted unused util/metrics.ts; all metrics live in root/src/metrics.ts.
  • Added HTML‑hash caching to avoid pointless re‑extraction calls.
  • Step Functions are optional skeletons, not required for local runs.
  • Crawling is guarded by robots.txt and a host allowlist. Set ALLOWED_HOSTS as a comma‑separated list (or query /allowed-hosts). MCP navigation also respects the allowlist.
  • Failing hosts are temporarily blocked (env BLOCKED_HOST_TTL_MS, default 15m) to avoid noisy retries.

License

MIT — see LICENSE.

Contract & API

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

Verifiedcapability-contract

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

ready

Auth

mcp, api_key

Streaming

No

Data region

global

Protocol support

MCP: verified

Requires: mcp, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.
Trust confidence is not low and verification freshness is acceptable.
Protocol support is explicitly confirmed in contract metadata.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/mcp-chernistry-callquest/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/mcp-chernistry-callquest/contract"
curl -s "https://www.xpersona.co/api/v1/agents/mcp-chernistry-callquest/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

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.

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Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "mcp",
    "api_key"
  ],
  "requires": [
    "mcp",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": true,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/chernistry/callquest#input",
  "outputSchemaRef": "https://github.com/chernistry/callquest#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:45:31.424Z",
  "sourceUpdatedAt": "2026-02-24T19:45:31.424Z",
  "freshnessSeconds": 19558538
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/mcp-chernistry-callquest/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/mcp-chernistry-callquest/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/mcp-chernistry-callquest/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/mcp-chernistry-callquest/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/mcp-chernistry-callquest/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/mcp-chernistry-callquest/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-10-09T04:41:10.301Z"
    }
  },
  "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": "MCP",
      "type": "protocol",
      "support": "supported",
      "confidenceSource": "contract",
      "notes": "Confirmed by capability contract"
    }
  ],
  "flattenedTokens": "protocol:MCP|supported|contract"
}

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": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://www.xpersona.co/api/v1/agents/mcp-chernistry-callquest/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-chernistry-callquest/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:45:31.424Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "mcp, api_key",
    "href": "https://www.xpersona.co/api/v1/agents/mcp-chernistry-callquest/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-chernistry-callquest/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:45:31.424Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/chernistry/callquest#input",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-chernistry-callquest/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:45:31.424Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Chernistry",
    "href": "https://github.com/chernistry/callquest",
    "sourceUrl": "https://github.com/chernistry/callquest",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/mcp-chernistry-callquest/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-chernistry-callquest/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 callquest and adjacent AI workflows.