AFP Product Builder

Use this skill to produce a complete, valid product specification for the Forecastathon competition, including extended metadata that can be pinned to IPFS as a DAG-CBOR encoded DAG.

Inputs to gather first

• Network: bakerloo or mainnet.
• Builder address (Forecastathon-registered).
• Product type: time series (scalar) or event (binary or ternary).
• Data source: public API URL and fields to extract.
• Start time and earliest FSP submission time (UTC ISO 8601).
• Min and max price band (unleveraged products only).
• Symbol and description.

Forecastathon constraints (must enforce)

• Required contract addresses:
  • Bakerloo: oracleAddress 0x72EeD9f7286292f119089F56e3068a3A931FCD49, collateralAsset 0xDEfAaC81a079533Bf2fb004c613cc2870cF0A5b5.
  • Mainnet: oracleAddress 0x06CaDDDf6CC08048596aE051c8ce644725219C73, collateralAsset 0xAE2C6c29F6403fDf5A31e74CC8bFd1D75a3CcB8d.
• Builder must be a registered Forecastathon participant.
• startTime must be at least two full working days after PR submission.
• Products are unleveraged and must define minPrice and maxPrice.
• Extended metadata must be pinned on IPFS and conform to standard schemas.
• API source must be valid and freely accessible.

Build the on-chain product (PredictionProductV1)

Use camelCase field names inside product:

• product.base.metadata.builder (EVM checksum address)
• product.base.metadata.symbol (A-Z0-9, 1-16 chars)
• product.base.metadata.description
• product.base.oracleSpec.oracleAddress (required per network)
• product.base.oracleSpec.fsvDecimals, fspAlpha, fspBeta, fsvCalldata
• product.base.collateralAsset (required per network)
• product.base.startTime (UTC ISO 8601, Z)
• product.base.pointValue
• product.base.priceDecimals
• product.base.extendedMetadata (CID, filled after pinning)
• product.expirySpec.earliestFSPSubmissionTime (UTC ISO 8601, Z)
• product.expirySpec.tradeoutInterval
• product.minPrice < product.maxPrice

Build extended metadata (snake_case)

Extended metadata fields are outcome_space, outcome_point, oracle_config, and oracle_fallback. These are pinned on IPFS and referenced by CID.

Outcome space and point

Time series (scalar):

• outcome_space: OutcomeSpaceTimeSeries
  • fsp_type: "scalar"
  • description
  • base_case.condition and base_case.fsp_resolution
  • edge_cases (optional)
  • units, source_name, source_uri
  • frequency: daily, weekly, fortnightly, semimonthly, monthly, quarterly, yearly
  • history_api_spec (optional for backing data)
• outcome_point: OutcomePointTimeSeries
  • fsp_type: "scalar"
  • observation.reference_date and observation.release_date (YYYY-MM-DD)

Event (binary or ternary):

• outcome_space: OutcomeSpace
  • fsp_type: "binary" or "ternary"
  • description
  • base_case.condition and base_case.fsp_resolution
  • edge_cases (optional)
• outcome_point: OutcomePointEvent
  • fsp_type: "binary" or "ternary"
  • outcome (specific candidate or yes/no outcome)

Template variables in conditions must resolve against outcome_point fields. Example: {outcome} for events, {observation.release_date} for time series.

Oracle config

Manual resolution:

• oracle_config: OracleConfig
  • description
  • project_url (optional)

API-backed resolution:

• oracle_config: OracleConfigPrototype1
  • description
  • project_url (optional)
  • evaluation_api_spec: ApiSpecJSONPath
    • spec_variant: "product-fsv"
    • url, date_path, value_path
    • date_format_type: iso_8601 | unix_timestamp | custom
    • timestamp_scale if unix timestamps are ms
    • auth_param_location: none | query | header
    • auth_param_name / auth_param_prefix if needed

For time series, history_api_spec (OutcomeSpaceTimeSeries) should use spec_variant: "underlying-history" when you include it.

Oracle fallback

• oracle_fallback.fallback_time must be at least 7 days after earliestFSPSubmissionTime.
• oracle_fallback.fallback_fsp must be within [minPrice, maxPrice].

API spec guidance

• Use JSONPath strings that select parallel arrays for dates and values.
• Prefer APIs that return ISO 8601 dates or UNIX timestamps to avoid custom parsing.
• Verify the URL is reachable (HEAD request succeeds).
• Prefer no-auth or free-access endpoints for Forecastathon.
• See references/api-sources.md for vetted examples.

IPFS pinning (DAG-CBOR required)

Extended metadata must be pinned as a DAG-CBOR DAG, not a single JSON blob. The AFP SDK handles this automatically by encoding and pinning each component and the root DAG:

import afp

app = afp.AFP(
    rpc_url=AUTONITY_RPC_URL,
    authenticator=afp.PrivateKeyAuthenticator(PRIVATE_KEY),
    ipfs_api_url=IPFS_API_URL,
    ipfs_api_key=IPFS_API_KEY,
)
product_api = app.Product()

spec = product_api.validate(product_dict)
pinned = product_api.pin(spec)  # builds and pins DAG-CBOR

If you build the DAG manually, ensure you store it as dag-cbor (e.g., ipfs dag put default store codec) and include schema CIDs for each component.

Validation and output

1. Use Product.validate or Product.validate_json to enforce schemas.
2. Ensure business rules and Forecastathon constraints pass.
3. Use Product.dump_json for canonical JSON output.

import afp

product_api = afp.AFP(...).Product()
spec = product_api.validate(product_dict)
pinned = product_api.pin(spec)
product_json = product_api.dump_json(pinned)

Deliverables

• Complete product JSON with extendedMetadata CID filled in.
• Clear explanation of outcome_space resolution and data source.
• Validation checklist confirmation (see references/validation-checklist.md).

References

• Public API options and JSONPath examples: references/api-sources.md
• Validation checklist and constraints: references/validation-checklist.md